Nihal Thomas

71.7k citations
250 papers · 3.2k · h-index 28

Impact in

Papers in

Nihal Thomas

226 papers receiving 3.0k citations

Peers

Nihal Thomas
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 833
  • Orthopedics and Sports Medicine 210
  • Nephrology 122
  • Obstetrics and Gynecology 121
  • Physiology 319
Replace Stavroula Α. Paschou with:
Stavroula Α. Paschou Greece
Farhad Hosseinpanah Iran
Ho‐Young Son South Korea
Mee Kyoung Kim South Korea
Rakesh Sahay India
David S.H. Bell United States
R Guéguen France
Swapnil Rajpathak United States
Asterios Karagiannis Greece
Patricia Metcalf New Zealand
Nihal Thomas relative to Stavroula Α. Paschou Greece Stavroula Α. Paschou's profile →
Citations per field
00.5×2×2.8×
Stavroula Α. Paschou · 1×
Citations per year

Countries citing papers authored by Nihal Thomas

Since Specialization
Citations

This map shows the geographic impact of Nihal Thomas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nihal Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihal Thomas more than expected).

Fields of papers citing papers by Nihal Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nihal Thomas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nihal Thomas. The network helps show where Nihal Thomas may publish in the future.

Co-authors

The 25 scholars most cited alongside Nihal Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nihal Thomas Line = papers co-authored together Nihal Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016302
2 2011107
3 200892
4 201489
5 201482
6 200674
7 200767
8 202064
9 201558
10 201757
11 201257
12 201956
13 202353
14 201448
15 202346
16 201843
17 201442
18 201242
19 201538
20 201637

About Nihal Thomas

Nihal Thomas is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 250 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Bone health and osteoporosis research (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Diabetes Management and Research (14 papers), Pituitary Gland Disorders and Treatments (12 papers), Birth, Development, and Health (12 papers), Parathyroid Disorders and Treatments (10 papers) and Adrenal and Paraganglionic Tumors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (833 citations), Orthopedics and Sports Medicine (210 citations), Nephrology (122 citations), Obstetrics and Gynecology (121 citations) and Physiology (319 citations). Nihal Thomas has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Nitin Kapoor, Thomas V. Paul, M. S. Seshadri, Felix Jebasingh, Brian Oldenburg, John Furler, Dukhabandhu Naik, Sahana Shetty, Senthil K. Vasan and Hesarghatta Shyamasunder Asha. Their work appears in journals such as Endocrine Practice, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal of Diabetes, PLoS ONE and Archives of Osteoporosis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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