M.T.R. Subbiah

156 papers receiving 2.9k citations

Peers

M.T.R. Subbiah
Comparison fields: 5 of 143
  • Biochemistry 402
  • Endocrinology, Diabetes and Metabolism 714
  • Nutrition and Dietetics 497
  • Genetics 600
  • Biochemistry 144
Replace Vincenzo Sica with:
Vincenzo Sica Italy
Mavis Abbey Australia
Papasani V. Subbaiah United States
Elisabeth R. Trimble United Kingdom
Giovanni Bucolo United States
Peter J. Gillies United States
Aviv Shaish Israel
T.L. Dormandy United Kingdom
Igor N. Zelko United States
Maria A. Leo United States
M.T.R. Subbiah relative to Vincenzo Sica Italy Vincenzo Sica's profile →
Citations per field
00.5×2.6×
Vincenzo Sica · 1×
Citations per year

Countries citing papers authored by M.T.R. Subbiah

Since Specialization
Citations

This map shows the geographic impact of M.T.R. Subbiah'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 M.T.R. Subbiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T.R. Subbiah more than expected).

Fields of papers citing papers by M.T.R. Subbiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T.R. Subbiah. 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 M.T.R. Subbiah. The network helps show where M.T.R. Subbiah may publish in the future.

Co-authors

The 25 scholars most cited alongside M.T.R. Subbiah, 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 M.T.R. Subbiah Line = papers co-authored together M.T.R. Subbiah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993197
2 2001145
3 2001133
4 199398
5 199896
6 197393
7 199690
8 199883
9 199679
10 199172
11 199065
12 200763
13 198061
14 199152
15 197650
16 200345
17 197345
18 198443
19 197342
20 197341

About M.T.R. Subbiah

M.T.R. Subbiah is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Oncology, having authored 160 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (55 papers), Drug Transport and Resistance Mechanisms (25 papers), Peroxisome Proliferator-Activated Receptors (20 papers), Animal Nutrition and Physiology (19 papers), Fatty Acid Research and Health (19 papers), Estrogen and related hormone effects (18 papers), Antioxidant Activity and Oxidative Stress (18 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Biochemistry (402 citations), Endocrinology, Diabetes and Metabolism (714 citations), Nutrition and Dietetics (497 citations), Genetics (600 citations) and Biochemistry (144 citations). M.T.R. Subbiah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include William Abplanalp, Remy L. Yunker, Z Rymaszewski, A. Kuksis, Aslam S. Hassan, B A Kottke, Antonio J. Cayatte, Remya Rajan Renuka, Mohit Agrawal and Bruce A. Kottke. Their work appears in journals such as Atherosclerosis, Biochemical and Biophysical Research Communications, Experimental Biology and Medicine, Steroids and American Journal of Clinical Nutrition.

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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