Neehar Gupta

713 citations
18 papers · 572 indexed · h-index 9

Impact in

Papers in

Neehar Gupta

17 papers receiving 549 citations

Peers

Neehar Gupta
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 161
  • Physiology 214
  • Biochemistry 37
  • Cell Biology 79
  • Endocrine and Autonomic Systems 32
Replace B.L. Wajchenberg with:
B.L. Wajchenberg Brazil
Laia Vilà Spain
Jean‐Paul Riou France
Daniela Tomie Furuya Brazil
Masahiro Hatazaki Japan
Eleonora Morini Italy
Yoshiaki Hirashima Japan
Peter S. Braund United Kingdom
Astrid Hofer Austria
Peter A. Antinozzi United States
Neehar Gupta relative to B.L. Wajchenberg Brazil B.L. Wajchenberg's profile →
Citations per field
00.5×2.6×
B.L. Wajchenberg · 1×
Citations per year

Countries citing papers authored by Neehar Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Neehar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neehar Gupta. 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 Neehar Gupta. The network helps show where Neehar Gupta may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20250
2 20251
3 20251
4 20185
5 201614
6 201613
7 201328
8 20127
9 200628
10 20065
11 200642
12
Direct Measure of Insulin Sensitivity with the Hyperinsulinemic-Euglycemic Clamp and Surrogate Measures of Insulin Sensitivity with the Oral Glucose Tolerance Test
20034
13 2003188
14
Direct measure of insulin sensitivity with the hyperinsulinemic-euglycemic clamp and surrogate measures of insulin sensitivity with the oral glucose tolerance test: correlations with aberrant crypt foci promotion in rats.
200359
15 20028
16 20027
17 200018
18 1999144

About Neehar Gupta

Neehar Gupta is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Hematology, Genetics and Clinical Biochemistry, having authored 18 papers that have together received 572 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Physiology (214 citations), Biochemistry (37 citations), Cell Biology (79 citations) and Endocrine and Autonomic Systems (32 citations). Neehar Gupta has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tracy Goh, Adria Giacca, Tony K.T. Lam, Timothy M. Mason, C. Andrew Haber, Gary F. Lewis, Elena Bogdanovic, Zhiwen Yu, I. George Fantus and Vaja Tchipashvili. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Thrombosis Research, Diabetes, Patient and Atherosclerosis.

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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