Best Researcher Award
Apichat Tantraworasin
Faculty of Medicine, Chiang Mai University, Thailand
Apichat Tantraworasin is a researcher affiliated with the Faculty of Medicine, Chiang Mai University, Thailand, working in the field of Medicine and Dentistry. This article presents his research profile in the context of the Best Researcher Award at the International Academic Achievements & Awards event.
Abstract
This article summarizes the scholarly record of Apichat Tantraworasin, a medical researcher at Chiang Mai University, Thailand. His indexed output of 128 documents and 2107 citations indicates sustained participation in clinical and biomedical research.[1] The profile is presented here in relation to the Best Researcher Award, which recognizes research achievement within the academic community.
Keywords
Best Researcher Award, Medicine and Dentistry, Chiang Mai University, Scopus, h-index, research impact, clinical research, academic recognition.
Introduction
Academic awards commonly draw on bibliometric indicators, peer recognition, and the relevance of a researcher’s work to scientific and public needs. Apichat Tantraworasin is affiliated with the Faculty of Medicine at Chiang Mai University, one of Thailand’s established centers for medical education and research.[1] His work is indexed in Scopus under the Medicine and Dentistry subject area, which provides a standardized basis for describing his scholarly activity.[2]
Research Profile
The researcher’s Scopus profile (Author ID 55090086500) records 128 documents, 2107 citations, and an h-index of 20.[1] His ORCID record (0000-0002-7913-2799) offers a persistent identifier that links his publications and professional affiliation across scholarly platforms.[2] Key profile details are summarized below.
- Affiliation: Faculty of Medicine, Chiang Mai University
- Subject area: Medicine and Dentistry
- Indexed documents: 128
- Total citations: 2107
Research Contributions
Tantraworasin’s contributions fall within clinical medicine and related health research, as reflected in his Medicine and Dentistry classification.[1] The size of his publication record suggests collaboration across research teams and engagement with questions relevant to patient care and clinical outcomes. Readers seeking details of individual studies are encouraged to consult the DOI-linked publications in his indexed record.
Publications
His 128 indexed documents are available through Scopus and ORCID, where titles, co-authors, journals, and DOIs can be reviewed.[1][2] A representative article is listed in the references, and it can be accessed through its DOI.
Research Impact
An h-index of 20 means that at least twenty of his publications have each been cited at least twenty times. Together with 2107 total citations, this indicates that a meaningful portion of his work has been read and cited by other researchers.[1] Such indicators are best interpreted alongside field norms, since citation practices differ between disciplines.
Award Suitability
The Best Researcher Award at International Academic Achievements & Awards recognizes individuals who demonstrate research productivity and scholarly influence. Considerations relevant to this nomination include:
- A publication record of 128 indexed documents
- 2107 citations and an h-index of 20
- Institutional affiliation with a recognized medical faculty
- Verifiable identifiers through Scopus and ORCID
Conclusion
Apichat Tantraworasin’s indexed record reflects steady scholarly output and citation recognition in Medicine and Dentistry. His profile is consistent with the criteria typically considered for the Best Researcher Award, and his work remains accessible for independent review through public scholarly databases.[1][2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Apichat Tantraworasin, Author ID 55090086500. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55090086500
- ORCID. (n.d.). Apichat Tantraworasin (ORCID iD 0000-0002-7913-2799). ORCID.
https://orcid.org/0000-0002-7913-2799
- Predicting Retinopathy of Prematurity in Thailand: A Practical Model for Risk-Based Screening. DOI record.
https://www.mdpi.com/2075-4418/16/19/3207
- Global, Regional, and Country Incidence of Peritoneal Dialysis-Associated Peritonitis in the Contemporary Peritoneal Dialysis Practice: A Systematic Review and Meta-Analysis.
https://www.mdpi.com/2305-6304/14/8/702
- Automated quantification of lens epithelial cell density using deep learning: validation and large-scale clinical application.
https://www.nature.com/articles/s41598-026-58748-9