Salil Varshney

45 papers receiving 939 citations

Peers

Salil Varshney
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 157
  • Physiology 286
  • Geriatrics and Gerontology 22
  • Biochemistry 46
  • Endocrinology, Diabetes and Metabolism 96
Replace Kripa Shankar with:
Kripa Shankar India
Taku Uemura Japan
Chu-Sook Kim South Korea
Laura Baselga‐Escudero Spain
Ester Casanova Spain
Leida Maria Botion Brazil
Catherine Oiry France
Pei‐Min Chao Taiwan
Yu-Jin Hwang South Korea
Rekha Bassi United Kingdom
Salil Varshney relative to Kripa Shankar India Kripa Shankar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Salil Varshney

Since Specialization
Citations

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

Fields of papers citing papers by Salil Varshney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 201457
3 201756
4 201949
5 202042
6 201842
7 201438
8 201637
9 201335
10 202235
11 201730
12 202030
13 201430
14 201829
15 202129
16 201827
17 201826
18 201826
19 201724
20 201423

About Salil Varshney

Salil Varshney is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Molecular Biology and Complementary and alternative medicine, having authored 45 papers that have together received 955 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Regulation of Appetite and Obesity (11 papers), Metabolism, Diabetes, and Cancer (5 papers), Biochemical Analysis and Sensing Techniques (3 papers), Plant biochemistry and biosynthesis (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (157 citations), Physiology (286 citations), Geriatrics and Gerontology (22 citations), Biochemistry (46 citations) and Endocrinology, Diabetes and Metabolism (96 citations). Salil Varshney has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Kripa Shankar, Anil Nilkanth Gaikwad, Durgesh Kumar, Sujith Rajan, Abhishek Gupta, Muheeb Beg, Ankita Srivastava, Jeffrey Marc Zigman, Deepali Gupta and Vishal M. Balaramnavar. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Metabolism, Molecular and Cellular Endocrinology, Metabolism and 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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