Valentina Zoboli | Public Health | Best Review Paper Award

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Best Review Paper Award

Valentina Zoboli — Fondazione IRCCS Policlinico San Matteo

Valentina Zoboli
Affiliation Fondazione IRCCS Policlinico San Matteo
Country Italy
Scopus ID 58178883000
Documents 3
Citations 9
h-index 1
Subject Area Public Health
Event The Scientist Global Awards
ORCID 0009-0005-2716-7366

The Best Review Paper Award recognizes scholarly excellence in synthesizing existing scientific knowledge, identifying research gaps, and advancing evidence-based understanding within a specialized field. This article presents an academic overview of Valentina Zoboli of Fondazione IRCCS Policlinico San Matteo, Italy, highlighting research activities, publication contributions, and scholarly impact relevant to consideration for recognition at The Scientist Global Awards.[1]

Abstract

This article examines the academic profile and research contributions of Valentina Zoboli within the field of Public Health. The assessment focuses on scholarly productivity, evidence synthesis activities, publication quality, and the broader significance of review-oriented research outputs. Review papers play a critical role in consolidating scientific evidence, guiding future investigations, and supporting evidence-based decision-making across healthcare systems. The presented profile demonstrates engagement with scientific dissemination and interdisciplinary knowledge development, factors commonly considered in review paper award evaluations.[2]

Keywords

Public Health; Review Paper; Scientific Literature; Evidence Synthesis; Research Evaluation; Scholarly Impact; Academic Recognition; Health Research; Citation Analysis; Research Excellence.

Introduction

Review articles serve as foundational resources for researchers, clinicians, and policymakers by integrating findings from multiple studies into coherent frameworks. High-quality review papers contribute to scientific advancement through critical evaluation of evidence, identification of emerging trends, and clarification of unresolved research questions. Recognition through a Best Review Paper Award therefore reflects both scholarly rigor and the ability to communicate complex knowledge effectively.[3]

Research Profile

Valentina Zoboli is affiliated with Fondazione IRCCS Policlinico San Matteo, a recognized Italian institution engaged in clinical and biomedical research. Her scholarly activities are represented in the Scopus database under Author ID 58178883000. Available bibliometric indicators report three indexed documents, nine citations, and an h-index of one, reflecting early-stage but measurable research visibility within the academic community.[1]

Research Contributions

Research contributions associated with review-oriented scholarship involve the systematic collection, interpretation, and presentation of scientific evidence. Such work supports clinical practice, public health planning, and future research design. Contributions of this nature frequently include literature evaluation, methodological comparison, evidence mapping, and synthesis of multidisciplinary findings.[4]

Publications

The publication portfolio indexed under the author’s Scopus profile demonstrates participation in peer-reviewed scholarly communication. Review papers and related scientific outputs contribute to the dissemination of consolidated knowledge and facilitate broader understanding of public health challenges and solutions.[1]

Research Impact

Research impact may be evaluated through bibliometric indicators, scholarly visibility, citation activity, and the practical relevance of scientific findings. Citation records indicate that the author’s publications have attracted attention within the academic community. Although bibliometric indicators represent only one aspect of research quality, they provide measurable evidence of engagement and dissemination.[1].

Award Suitability

Eligibility for a Best Review Paper Award is typically based on originality of synthesis, methodological rigor, scientific clarity, relevance to the discipline, and contribution to evidence-based advancement. Valentina Zoboli’s scholarly profile demonstrates characteristics associated with academic review excellence, including engagement with peer-reviewed literature, participation in scientific dissemination, and contributions within the Public Health domain. These attributes support consideration for recognition by The Scientist Global Awards.[5]

Conclusion

Valentina Zoboli represents an emerging contributor to Public Health scholarship through participation in peer-reviewed research and scientific knowledge dissemination. The available bibliometric profile, institutional affiliation, and research engagement collectively illustrate a foundation for scholarly recognition. Within the context of review-based academic achievement, the profile aligns with the objectives of the Best Review Paper Award and highlights the importance of evidence synthesis in advancing scientific understanding.[1]

References

  1. Elsevier. (2026). Scopus author details: Valentina Zoboli, Author ID 58178883000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58178883000
  2. Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of review types and associated methodologies.
    https://doi.org/10.1111/j.1471-1842.2009.00848.x
  3. Valentina Zoboli. (2026). Human cytomegalovirus-specific T-cell responses and immune-guided strategies as predictors of clinically significant infection in hematopoietic stem cell transplant recipients after letermovir prophylaxis.
    https://pubmed.ncbi.nlm.nih.gov/41501398/
  4. Page, M. J., et al. (2021). PRISMA 2020 statement: An updated guideline for reporting systematic reviews.
    https://doi.org/10.1136/bmj.n71
  5. The Scientist Global Awards. (2026). Award evaluation criteria and academic recognition framework.
    https://thescientists.net/

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Hajer Nabli | Public Health | Research Excellence Award

Posted on by The Scientist

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)

128
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128

h-index

6

i10-index

4

Citations

h-index

i10-index

View Google Scholar Profile View ORCID Profile

Featured Publications

Iffat Prianka | Public Health | Public Health Impact Award

Posted on by The Scientist

Assist. Prof. Dr. Iffat Prianka | Public Health | Public Health Impact Award 

Asst.Professor | Ibrahim Medical College | Bangladesh

Dr. Iffat Tania Prianka is a dedicated public health professional and medical educator from Bangladesh, currently serving as Assistant Professor in the Department of Community Medicine & Public Health at Ibrahim Medical College (BIRDEM). She holds an M.Phil. in Preventive and Social Medicine from BSMMU (NIPSOM), an MPH in Epidemiology from AIUB, and has successfully completed FCPS Part I in Community Medicine and Public Health. She is presently pursuing her Ph.D. at Bangladesh University of Professionals. Her academic journey is distinguished by strong research engagement, with completed studies on autism awareness among medical students, internet addiction during the COVID-19 pandemic, and the psychosocial impact of infertility among women. She possesses advanced research skills in epidemiology, biostatistics, and data interpretation using SPSS and STATA, strengthened by extensive training in research methodology, medical education, and faculty development programs from institutions such as Eudoxia Research University and Fera Foundation. Her teaching and clinical experience span over a decade, with prior roles as Lecturer in Biochemistry and Community Medicine, and as Senior House Physician at United Hospital Dhaka. Recognized with Magna Cum Laude distinction and Dean’s Award, Dr. Prianka aims to contribute to global public health advancement through impactful research, evidence-based education, and community-focused healthcare solutions.

Profile: ORCID

Featured Publications

Prianka, I. T. (2022). Knowledge and Attitude on Early Sign of Autism Among 1st Year to 3rd Year Medical Students in a Selected Medical College in    Bangladesh. International Journal of Medical Research and Pharmaceutical Sciences, 9(9), 1–7. Available at: ijmrpsjournal.com

Jahan, N., Rumman, I., Prianka, I. T., & Gupta, P. K. S. (2023). Internet Addiction Among Medical Students During the COVID-19 Pandemic in Dhaka      City: Prevalence and Associated Factors. International Research Journal of Medical and Pharmaceutical Sciences, 1(1), 64–76. Available at: zapjournals.com

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