Suresh | Digital Health | Best Review Article Award

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Best Review Article Award

Suresh
AIIMS New Delhi, India

Suresh
Affiliation AIIMS New Delhi
Country India
Scopus ID 60753259600
Documents 1
Citations 1
h-index 1
Subject Area Digital Health
Event International Research Excellence and Citation Awards
ORCID 0009-0008-0851-9567

Suresh is affiliated with AIIMS New Delhi, India, and is associated with research in Digital Health. Available scholarly indexing information records one document, one citation, and an h-index of one. These indicators provide a concise bibliometric snapshot of the researcher’s indexed scholarly output and citation activity. [1]

Abstract

This academic profile presents Suresh’s research association with AIIMS New Delhi and the field of Digital Health. The available bibliometric record indicates one indexed document, one citation, and an h-index of one. The profile is considered in relation to the Best Review Article Award within the International Research Excellence and Citation Awards. The assessment emphasizes documented scholarly activity and the relevance of Digital Health to contemporary healthcare research. [1]

Keywords

Digital Health, medical research, healthcare technology, scholarly communication, review article, bibliometrics, AIIMS New Delhi, research impact.

Introduction

Digital Health encompasses the application of digital technologies, information systems, data resources, and technology-enabled approaches to healthcare and research. Scholarly work in this area supports the evaluation and development of methods that can improve knowledge exchange and healthcare practice. Suresh’s institutional affiliation with AIIMS New Delhi provides an academic and healthcare research context for the profile.

Research Profile

The available profile identifies Digital Health as the principal subject area. Scopus records one document associated with the researcher, together with one citation and an h-index of one. [1] The ORCID identifier provides a persistent scholarly identity reference that can support accurate attribution of research outputs.

Research Contributions

Based on the supplied information, the documented contribution is represented by indexed scholarly output in Digital Health. Review-oriented research can contribute to the synthesis, organization, and critical interpretation of existing evidence. A detailed evaluation of specific findings would require examination of the relevant publication and its bibliographic information.

Publications

The supplied Scopus information records one document. The available data do not provide the publication title, journal, publication year, authorship details, or DOI. Accordingly, no additional publication-specific claims are made without supporting bibliographic evidence. [1]

Research Impact

The recorded bibliometric indicators comprise one document and one citation, with an h-index of one. These measures describe the current indexed citation record but should not be interpreted independently as a complete assessment of research quality or significance. [1]

Award Suitability

The Best Review Article Award is relevant to scholarly work demonstrating value through review, synthesis, interpretation, and communication of research evidence. Suresh’s affiliation with AIIMS New Delhi and research association with Digital Health provide a relevant disciplinary context. Final award assessment should consider the submitted article, originality, methodological rigor, evidence synthesis, scholarly relevance, and applicable evaluation criteria.

Conclusion

Suresh’s profile reflects documented scholarly activity in Digital Health associated with AIIMS New Delhi. The available Scopus indicators provide a concise bibliometric snapshot, while the ORCID record provides a persistent researcher identifier. [1] Assessment for the Best Review Article Award should additionally consider the quality, relevance, and contribution of the associated review publication.

References

  1. Elsevier. (n.d.). Scopus author details: Suresh, Author ID 56491596000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56491596000
  2. ORCID. (n.d.). ORCID record: 0000-0002-2783-0106. ORCID.
    https://orcid.org/0000-0002-2783-0106

Madalina Maxim | Medicine and Dentistry | Research Excellence Award

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Madalina Maxim | Medicine and Dentistry | Research Excellence Award

Hopsital St. Spiridon Iasi – Grigore T. Popa University of Medicine and Farmacy | Romania

Dr. Mădălina Maxim is a Romanian general surgeon and academic researcher with clinical experience at St. Spiridon Hospital in Iași. She completed her residency in general surgery at the same institution and currently practices as a surgery physician, with a strong focus on abdominal wall pathology and minimally invasive procedures. Alongside her clinical work, she is a PhD student and research assistant at the Grigore T. Popa University of Medicine and Pharmacy in Iași. Her professional development includes advanced training in inguinal hernia repair, general ultrasound, and diagnostic digestive endoscopy, reflecting her combined interests in surgical practice, diagnostics, and academic research.

Citation Metrics (Google Scholar)

200150

100

50

0

Citations
203

h-index
7

i10-index
5


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Thomas Heston | Health Professions | Best Research Article Award

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Thomas Heston | Health Professions | Best Research Article Award

Washington State University | United States

Dr. Thomas F. Heston, MD, is a distinguished physician, researcher, and academician with over 1,500 citations and an h-index of 22, reflecting his significant contributions to medical science and emerging technologies. He currently serves as Clinical Associate Professor in the Department of Medical Education and Clinical Sciences at Washington State University, Spokane, and as Clinical Assistant Professor of Family Medicine at the University of Washington School of Medicine, Seattle. Dr. Heston holds multiple advanced qualifications, including a Doctor of Medicine from Saint Louis University School of Medicine, a Fellowship in Nuclear Medicine from Johns Hopkins School of Medicine, and an MS in Cryptocurrency and Blockchain Technology from the University of Nicosia, Cyprus—highlighting his interdisciplinary expertise bridging medicine and digital innovation. His academic journey also includes residencies at the University of Washington and Oregon Health and Science University, an internship at Duke University, and undergraduate degrees in Mathematics and Music from the University of the State of New York and the University of Washington, respectively. Board-certified in Artificial Intelligence in Medicine, Family Medicine, Nuclear Cardiology, and Nuclear Medicine, Dr. Heston’s work spans nuclear imaging, clinical education, artificial intelligence, and healthcare innovation. His research integrates data-driven medical diagnostics with emerging technologies, advancing precision medicine and ethical AI in healthcare. Through his teaching, publications, and clinical expertise, Dr. Heston continues to inspire innovation and evidence-based excellence in modern medical practice.

Profile: Google Scholar | Orcid

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Heston, T. F., & Khun, C. (2023). Prompt engineering in medical education. International Medical Education, 2(3), 198–205.

Heston, T. F., & Lewis, L. M. (1992). Gender bias in the evaluation and management of acute nontraumatic chest pain. Family Practice Research Journal, 12(4), 383–389.

Goldsmith, S. J., Parsons, W., Guiberteau, M. J., Stern, L. H., Lanzkowsky, L., & Heston, T. F., et al. (2010). SNM practice guideline for breast scintigraphy with breast-specific γ-cameras 1.0. Journal of Nuclear Medicine Technology, 38(4), 219–224.

Heston, T. F. (2017). A case study in blockchain health care innovation. International Journal of Current Research, 9(11), 60587–60588.

Heston, T. F. (2023). Safety of large language models in addressing depression. Cureus, 15(12), e50729.

Heston, T. F. (2011). Standardizing predictive values in diagnostic imaging research. Journal of Magnetic Resonance Imaging, 33(2), 505–505.

Heston, T. F., & Sigg, D. M. (2005). Quantifying transient ischemic dilation using gated SPECT. Journal of Nuclear Medicine, 46(12), 1990–1996.

Heston, T. F., & Wahl, R. L. (2010). Molecular imaging in thyroid cancer. Cancer Imaging, 10(1), 1.