Varun Pathak

25 papers receiving 720 citations

Peers

Varun Pathak
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 319
  • Endocrine and Autonomic Systems 76
  • Cellular and Molecular Neuroscience 127
  • Surgery 240
  • Physiology 113
Replace Akemi Hara with:
Akemi Hara Japan
Hiromi Yokota‐Hashimoto Japan
Yoshiaki Katsuda Japan
Lesya Novikova United States
Laurianne Giovannoni Switzerland
Howard L. Foyt United States
Astrid C. Hauge-Evans United Kingdom
Alison Hugill United Kingdom
Jakob G. Knudsen Denmark
Varun Pathak relative to Akemi Hara Japan Akemi Hara's profile →
Citations per field
00.5×3.0×
Akemi Hara · 1×
Citations per year

Countries citing papers authored by Varun Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Varun Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 201781
3 201570
4 201857
5 202143
6 201442
7 202240
8 201836
9 201535
10 201427
11 201524
12 202322
13 201421
14 201521
15 201719
16 202217
17 201314
18 201914
19 201513
20 202111

About Varun Pathak

Varun Pathak is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 26 papers that have together received 728 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Pancreatic function and diabetes (7 papers), Neuropeptides and Animal Physiology (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Regulation of Appetite and Obesity (3 papers), Biomarkers in Disease Mechanisms (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (319 citations), Endocrine and Autonomic Systems (76 citations), Cellular and Molecular Neuroscience (127 citations), Surgery (240 citations) and Physiology (113 citations). Varun Pathak has collaborated with scholars based in United Kingdom, Italy and Jordan. Frequent co-authors include Peter R. Flatt, Nigel Irwin, Victor A. Gault, Reinhold J. Medina, Jasenka Guduric‐Fuchs, Christina O’Neill, Vadivel Parthsarathy, Edoardo Pedrini, Alan W. Stitt and Anthony J. Bjourson. Their work appears in journals such as Molecular and Cellular Endocrinology, Diabetes Obesity and Metabolism, Diabetologia, Journal of Endocrinology and Frontiers in Physiology.

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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