Diana Kalnina | Public Health | Innovative Research Award

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Innovative Research Award

Diana Kalnina is a public health researcher affiliated with Pauls Stradins Clinical University Hospital, Latvia. Her research profile is represented in Scopus by Author ID 57970580500 and an ORCID identifier. This academic recognition profile summarizes her documented research indicators and considers the broader context of public health research, evidence-based practice, and innovation.

Diana Kalnina
Affiliation Pauls Stradins Clinical University Hospital
Country Latvia
Scopus ID 57970580500
Documents 6
Citations 5
h-index 1
Subject Area Public Health
Event The Scientist Global Awards
ORCID 0009-0001-0672-5518

Abstract

Diana Kalnina is a public health researcher associated with Pauls Stradins Clinical University Hospital in Latvia. Her documented research profile includes six Scopus-indexed documents, five citations, and an h-index of 1. The profile is situated within the wider field of public health, where research contributes to disease prevention, health promotion, population-level evidence, healthcare quality, and the development of evidence-informed interventions. Public health research increasingly emphasizes the integration of clinical knowledge, population data, health systems, and social determinants to address complex health challenges. [1]

Keywords

Public Health, Public Health Research, Health Policy, Population Health, Health Promotion, Disease Prevention, Clinical and Public Health, Health Innovation

Introduction

Public health is concerned with protecting and improving the health of populations through prevention, health promotion, surveillance, research, policy development, and coordinated health services. Contemporary public health research extends beyond individual clinical outcomes to consider population-level determinants and inequalities in health. The World Health Organization’s work on social determinants of health has emphasized the importance of conditions in which people are born, grow, live, work, and age when understanding health outcomes. [2]

Research Profile

The available bibliometric profile identifies Diana Kalnina with Scopus Author ID 57970580500. The record contains six documents and five citations, with an h-index of 1. These indicators provide a quantitative description of the indexed publication record but should be interpreted in relation to factors such as career stage, publication chronology, disciplinary citation practices, database coverage, and the time required for research outputs to accumulate citations. [1]

Research Contributions

The documented subject classification places Kalnina’s research within Public Health. On the basis of the available profile data, the record can be situated within several broad research functions that are central to the field: These areas describe the broader scholarly context of the Public Health subject category and should not be interpreted as a claim that every listed activity is independently documented as a specific research contribution of Kalnina. [2]

Publications

The available Scopus information records six documents associated with Diana Kalnina’s author profile. Because complete publication titles, journal information, publication years, authorship details, and DOI records were not supplied with the profile data, individual publications are not reproduced here to avoid attributing works that cannot be independently identified from the provided information. [1] [3]

Research Impact

The profile records five citations and an h-index of 1. Bibliometric indicators such as citation counts and h-index values are useful for describing indexed scholarly visibility, but they do not independently measure the practical, clinical, societal, or policy impact of public health research. Interpretation of research impact is strengthened when bibliometric evidence is considered alongside research use, implementation, collaboration, policy contribution, and other documented outcomes. [1]

Award Suitability

Innovation in public health can encompass the development of new evidence, methods, technologies, analytical approaches, prevention strategies, healthcare models, or implementation practices. Assessment of a specific innovation should consider the underlying research outputs and documented evidence of originality, application, and impact. The information available for this profile establishes the research field and bibliometric record but does not provide sufficient detail to make specific claims about the nature or magnitude of an individual innovation. [1]

Conclusion

Diana Kalnina’s academic profile is associated with Public Health research at Pauls Stradins Clinical University Hospital in Latvia. The available Scopus record documents six research documents, five citations, and an h-index of 1, while an ORCID identifier provides an additional persistent scholarly identity reference. [1]

References

  1. Elsevier. (2026). Scopus author details: Diana Kalnina, Author ID 57970580500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57970580500
  2. Initial Experience with Standalone Thoracoscopic Left Atrial Appendage Occlusion Using AtriClip Pro2: A Single-Center Retrospective Cohort Study in Latvia.
    https://doi.org/10.3390/medicina62091786
  3. ORCID. (2026). Diana Kalnina — ORCID record 0009-0001-0672-5518. ORCID.
    https://orcid.org/0009-0001-0672-5518
  4. The Scientist Global Awards. (2026). The Scientist Global Awards.
    https://thescientists.net/

Xin Shelley Wang | Public Health | Excellence in Research Award

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Prof. Dr. Xin Shelley Wang | Public Health | Excellence in Research Award

Professor | MD Anderson Cancer Center | United States

Prof. Dr. Xin Shelley Wang, MD, MPH is a physician–scientist at The University of Texas MD Anderson Cancer Center and an internationally recognized leader in patient-reported outcomes, cancer symptom science, and supportive oncology. Her research has fundamentally advanced the measurement and management of cancer-related symptoms, including fatigue, pain, and symptom burden across disease stages and treatments. She is a principal developer and validator of widely adopted tools such as the MD Anderson Symptom Inventory, now used globally in clinical trials and routine care. Dr. Wang has authored 200+ peer-reviewed publications, accruing 17,492 citations (h-index 60, i10-index 139). Her highly cited work has shaped symptom assessment standards, informed clinical decision-making, and improved quality of life for cancer patients worldwide through multidisciplinary collaborations and translational impact.

Citation Metrics (Google Scholar)

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17,494

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139

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 View ORCID Profile

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Hajer Nabli | Public Health | Research Excellence Award

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Assist. Prof. Dr. Hajer Nabli | Public Health | Research Excellence Award

Assistant Professor | University of Sousse, ISITCom | Tunisia

Assist. Prof. Dr. Hajer Nabli is a distinguished researcher specializing in cloud computing, blockchain, and AI-driven Internet of Things (AIoT) applications. She has authored multiple high-impact publications, with 128 citations, an h-index of 6, and an i10-index of 4, reflecting her significant contributions to service discovery, cloud service recommendation, and semantic similarity modeling. Her work emphasizes innovative solutions for cloud service personalization, web service composition, and the integration of emerging technologies into pharmaceutical and smart city applications. Collaborating extensively with international scholars, Nabli has advanced practical applications such as quality-aware context monitoring for smart homes and blockchain-enabled supply chain security. Her research demonstrates a strong societal impact, addressing critical challenges in technology adoption, elderly care, and counterfeit drug prevention.

Citation Metrics (Google Scholar)

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128

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View Google Scholar Profile View ORCID Profile

Featured Publications

Caili Ma | Public Health | Research Excellence Award

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Ms. Caili Ma | Public Health | Research Excellence Award

Head-Nurse | The Second Xiangya Hospital Of Central South University | China 

Dr. Caili Ma is an emerging researcher whose scholarly contributions reflect a focused commitment to advancing evidence-based practice in clinical and nursing sciences. With 67 citations, 8 peer-reviewed publications, and an h-index of 4, Dr. Ma has steadily built a research portfolio that demonstrates both scientific rigor and growing global visibility. Her work spans critical themes in healthcare delivery, professional identity formation, patient-centered care, and stigma reduction within clinical education environments. Notably, her recent randomized controlled trial evaluating the “credit bank” intervention highlights her dedication to designing innovative, measurable strategies that enhance nursing students’ professional identity while addressing the pervasive issue of public stigma an area with significant implications for workforce development, healthcare quality, and long-term professional resilience. Dr. Ma’s collaborative footprint, illustrated by contributions involving more than 50 co-authors, underscores her engagement in interdisciplinary and multicenter research networks, enabling broader translational impact and methodological diversity. Her research influence extends beyond publications, contributing to ongoing discussions in clinical education reform and psychosocial determinants of healthcare performance. Although early in her academic trajectory, her work already demonstrates societal relevance by informing policies and practices aimed at strengthening the nursing workforce, improving mental and professional well-being among trainees, and fostering more inclusive healthcare environments. Through the combination of rigorous study design, collaborative scholarship, and commitment to addressing structural and interpersonal challenges in healthcare systems, Dr. Ma continues to shape a research agenda that aligns with international priorities in health education, stigma reduction, and sustainable professional development. Her growing citation profile and publication output reflect her expanding role in advancing high-quality research that bridges clinical education, behavioral science, and patient-oriented perspectives.

Profiles: Scopus | ORCID 

Featured Publications

  1. Qiu, C., Ni, X., Wang, Y., Cao, M., Li, X., Huang, Z., Chen, Q., Ma, C., & He, Y. (2025). Effects of a “credit bank” intervention on the professional identity and public stigma among nursing students: A randomized controlled trial. Nurse Education Today. Advance online publication. https://doi.org/10.1016/j.nedt.2025.106915     

 

Negin Maroufi | Public Health | Best Researcher Award

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Ms. Negin Maroufi | Public Health | Best Researcher Award

University of Otago | New Zealand

Ms. Negin Maroufi is a highly motivated Ph.D. candidate in Public Health at the University of Otago, Wellington (2023–present), specializing in the application of machine learning and multi-source surveillance data to predict seasonal influenza patterns in New Zealand to support improved prevention and health service management. She holds an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Neyshabur, Iran (2018), where her thesis focused on designing approximate compressor circuits using Quantum-dot Cellular Automata, and a B.Sc. in Computer Engineering (Hardware) from Ferdowsi University of Mashhad, Iran (2013), where she developed character recognition systems via tablet digitizers. Her professional experience includes serving as Deputy of Research and Technology at Neyshabour University of Medical Sciences (2021–2023), coordinating IT infrastructure, database management, and epidemiological data analysis, and contributing to the Neyshabur Longitudinal Study on Ageing (NeLSA) from 2017–2021, where she designed databases, developed web interfaces, performed statistical analyses, and assisted in COVID-19 surveillance reporting. She has also taught English, programming, and IT courses in various institutions, demonstrating strong mentorship and teaching capabilities. Her research interests lie at the intersection of digital epidemiology, public health informatics, machine learning, and predictive modeling for infectious disease surveillance. She possesses advanced research skills in C/C#/ASP.NET programming, Python, R, STATA, SQL database design, data cleaning, machine learning, and biomedical data analysis, and holds certifications in Good Clinical Practice, biomedical research ethics, and data science. Her work has been published in reputable journals such as the Middle East Journal of Digestive Diseases and the International Journal of Epidemiology, and she has contributed to national COVID-19 epidemiology reports. Negin has received the University of Otago Doctoral Scholarship, maintained top grades throughout her academic career, and earned awards in mathematics and programming competitions. Her combined expertise, research experience, and leadership abilities position her as a promising emerging scholar in public health and digital epidemiology. 27 Citations by 27 documents, 3 Documents, h-index 1.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Aminisani, N., Azimi-Nezhad, M., Shamshirgaran, S. M., Mirhafez, S. R., Borji, A., Poustchi, H., Sezavar, S. H., Ansarin, K., Kolahi, S., Javadpor, A., Rezaei, A., Hooshmand, E., Maroufi, N., Tabaei, S., Eghtesad, S., Hyde, M., Kenny, R. A., Raina, P., Stephens, C., Malekzadeh, R. (2022). Cohort profile: The IRanian Longitudinal Study on Ageing (IRLSA): The first comprehensive study on ageing in Iran. International Journal of Epidemiology, 51(4), e177–e188. Citations: 37

  2. Maroufi, N., & Bahrepour, D. (2018). A novel three-input approximate XOR gate design based on quantum-dot cellular automata. Journal of Computational Electronics, 17(2), 866–879. Citations: 7

  3. Bahrepour, D., & Maroufi, N. (2018). A 2-bit full comparator design with a minimum quantum cost function in quantum-dot cellular automata. Information Systems & Telecommunication, 6, 197–203. Citations: 5

  4. Bahrepour, D., & Maroufi, N. (2019). A 2-bit full comparator design with minimum quantum cost function in quantum-dot cellular automata. Journal of Information Systems and Telecommunication (JIST), 4(24), 197. Citations: 3

  5. Maroufi, N., Sohrabi, M., Mehrabadi, S., Zamani, F., Ajdarkosh, H., Hatamian, S., Bahavar, A., Tameshkel, F. S., Gholami, A. (2024). Poor sleep quality and its influencing factors among Iranian patients with esophageal and gastric cancer. Middle East Journal of Digestive Diseases, 16(1), 39–46. Citations: 2