Nihal Thomas

71.7k citations
242 papers · 2.8k · h-index 28

Impact in

Papers in

Nihal Thomas

221 papers receiving 2.7k citations

Peers

Nihal Thomas
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 654
  • Orthopedics and Sports Medicine 208
  • Nephrology 121
  • Obstetrics and Gynecology 115
  • Pharmacy 56
Replace Sheila K. Patel with:
Sheila K. Patel Australia
Stephen Kaptoge United Kingdom
Deep Dutta India
Martin Buysschaert Belgium
LieLing Wu United States
Kristine Ruppert United States
Craig Jefferies New Zealand
I.M. van der Meer Netherlands
Egil Arnesen Norway
Mary Helen Black United States
Nihal Thomas relative to Sheila K. Patel Australia Sheila K. Patel's profile →
Citations per field
00.5×4.3×
Sheila K. Patel · 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 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011102
2 200891
3 201489
4 201478
5 200669
6 200767
7 202062
8 201756
9 201256
10 201956
11 201556
12 202352
13 201446
14 202346
15 201843
16 201442
17 201242
18 201538
19 201637
20 201436

About Nihal Thomas

Nihal Thomas is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 242 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (19 papers), Bone health and osteoporosis research (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Diabetes Management and Research (13 papers), Birth, Development, and Health (11 papers), Parathyroid Disorders and Treatments (10 papers), Pituitary Gland Disorders and Treatments (10 papers) and Gestational Diabetes Research and Management (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (654 citations), Orthopedics and Sports Medicine (208 citations), Nephrology (121 citations), Obstetrics and Gynecology (115 citations) and Pharmacy (56 citations). Nihal Thomas has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include Thomas V. Paul, Nitin Kapoor, M. S. Seshadri, Felix Jebasingh, Brian Oldenburg, Dukhabandhu Naik, Sahana Shetty, John Furler, Senthil K. Vasan and Hesarghatta Shyamasunder Asha. Their work appears in journals such as Endocrine Practice, Journal of Diabetes, Diabetes & Metabolic Syndrome Clinical Research & Reviews, PLoS ONE and Clinical Endocrinology.

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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