Satish C. Kalhan

18.9k citations
231 papers · 13.0k indexed · 3 hit papers · h-index 57

Satish C. Kalhan

228 papers receiving 12.6k citations

Hit Papers

TNF-α Is a Predictor of Insulin Resistance in Human Pregn...5601999202620082017250500750

Peers

Satish C. Kalhan
Comparison fields: 5 of 170
  • Obstetrics and Gynecology 2.2k
  • Clinical Biochemistry 1.2k
  • Physiology 3.8k
  • Endocrinology, Diabetes and Metabolism 2.4k
  • Pediatrics, Perinatology and Child Health 2.5k
Replace Michael Y. Tsai with:
Michael Y. Tsai United States
C. N. Hales United Kingdom
James R. Bain United States
Jerzy Adamski Germany
Giovanni E. Mann United Kingdom
Olga Ilkayeva United States
Kristina Schoonjans Switzerland
Henk J. Blom Netherlands
Toshiro Fujita Japan
Norbert Freinkel United States
Satish C. Kalhan relative to Michael Y. Tsai United States Michael Y. Tsai's profile →
Citations per field
00.5×1.5×2.2×
Michael Y. Tsai · 1×
Citations per year

Countries citing papers authored by Satish C. Kalhan

Since Specialization
Citations

This map shows the geographic impact of Satish C. Kalhan'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 Satish C. Kalhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish C. Kalhan more than expected).

Fields of papers citing papers by Satish C. Kalhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satish C. Kalhan. 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 Satish C. Kalhan. The network helps show where Satish C. Kalhan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Satish C. Kalhan, 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 Satish C. Kalhan Line = papers co-authored together Satish C. Kalhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20186
2 2009106
3 200820
4 200614
5 200310
6 2002111
7 200210
8 2000106
9 2000124
10 19995
11
Longitudinal changes in glucose metabolism during pregnancy in obese women with normal glucose tolerance and gestational diabetes mellitusbreakdown →
1999506
12 19989
13 199615
14 199415
15 199311
16 19923
17 1991104
18 19913
19 199031
20 198614

About Satish C. Kalhan

Satish C. Kalhan is a scholar working on Clinical Biochemistry, Obstetrics and Gynecology and Physiology, having authored 231 papers that have together received 13.0k indexed citations. Recurring topics across this work include Diet and metabolism studies (58 papers), Metabolism and Genetic Disorders (58 papers), Muscle metabolism and nutrition (47 papers), Adipose Tissue and Metabolism (31 papers), Gestational Diabetes Research and Management (31 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (29 papers), Birth, Development, and Health (27 papers) and Diabetes Management and Research (20 papers). The work is most often cited by research in Obstetrics and Gynecology (2.2k citations), Clinical Biochemistry (1.2k citations) and Physiology (3.8k citations). Satish C. Kalhan has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Richard W. Hanson, Arthur J. McCullough, Oliver E. Owen, Patrick M. Catalano, Prabhu S. Parimi, Larraine Huston-Presley, Saeid B. Amini, Peter A. J. Adam, Srinivasan Dasarathy and John P. Kirwan. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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