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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Francesca Esposito | Biomedical Sciences | Excellence in Research

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Assoc. Prof. Dr. Francesca Esposito | Biomedical Sciences | Excellence in Research

Università di Cagliari | Italy

Dr. Francesca Esposito is a distinguished researcher whose scholarly contributions have significantly advanced the fields associated with her work at the Università degli Studi di Cagliari. Her research excellence is reflected in a strong global academic footprint, supported by 2,349 citations, 92 peer-reviewed documents, and an h-index of 30, underscoring her consistent influence, productivity, and high-impact scholarship. Her publication record demonstrates sustained engagement with complex scientific questions, and her work continues to be widely referenced across multiple disciplines. Throughout her career, Dr. Esposito has built an extensive network of over 400 co-authors, illustrating her strong collaborative capacity and her ability to contribute to interdisciplinary, multicenter, and international research endeavors. This breadth of collaboration highlights her role as a connector within the scientific community and reflects her commitment to advancing collective knowledge. Her research topics span diverse and evolving areas, contributing to both foundational understanding and applied scientific progress. Dr. Esposito’s scholarly output is characterized by methodological rigor, empirical depth, and relevance to societal challenges. Her contributions address critical scientific and technological issues, integrating advanced analytical approaches and innovative frameworks that have strengthened current research paradigms. Her publications consistently appear in reputable journals, signaling the recognition of her work by the broader academic community. Beyond academic metrics, Dr. Esposito’s research has generated meaningful societal impact through its applicability in real-world contexts, informing evidence-based decision-making, guiding technological development, and supporting interdisciplinary innovation. Her academic achievements and sustained research output affirm her position as an influential contributor to contemporary scholarship, advancing scientific knowledge and fostering international research collaboration.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Fulle, M., Marzari, F., Della Corte, V., Fornasier, S., Sierks, H., Rotundi, A., … Esposito, F. (2016). Evolution of the dust size distribution of comet 67P/Churyumov–Gerasimenko from 2.2 AU to perihelion. The Astrophysical Journal, 821(1), 19. Cited by: 225

  2. Formisano, V., Angrilli, F., Arnold, G., Atreya, S., Bianchini, G., Biondi, D., … Esposito, F. (2005). The planetary Fourier spectrometer (PFS) onboard the European Mars Express mission. Planetary and Space Science, 53(10), 963–974. Cited by: 208

  3. Fulle, M., Della Corte, V., Rotundi, A., Weissman, P., Juhasz, A., Szego, K., … Esposito, F. (2015). Density and charge of pristine fluffy particles from comet 67P/Churyumov–Gerasimenko. The Astrophysical Journal Letters, 802(1), L12. Cited by: 189

  4. Rotundi, A., Sierks, H., Della Corte, V., Fulle, M., Gutierrez, P. J., Lara, L., … Esposito, F. (2015). Dust measurements in the coma of comet 67P/Churyumov–Gerasimenko inbound to the Sun. Science, 347(6220), aaa3905. Cited by: 179

  5. Esposito, F., Molinaro, R., Popa, C. I., Molfese, C., Cozzolino, F., Marty, L., … Määttänen, A. (2016). The role of the atmospheric electric field in the dust‐lifting process. Geophysical Research Letters, 43(10), 5501–5508. Cited by: 114

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