Jagan N. Thupari

1.7k citations
20 papers · 1.4k indexed · h-index 15

Jagan N. Thupari

20 papers receiving 1.4k citations

Peers

Jagan N. Thupari
Comparison fields: 5 of 97
  • Cancer Research 613
  • Endocrine and Autonomic Systems 157
  • Biochemistry 108
  • Molecular Biology 837
  • Physiology 223
Replace G. Vallette with:
G. Vallette France
Anne M. Karinch United States
Anastasia Sobolewski United Kingdom
Concetta Panebianco Italy
Eric Pédruzzi France
Martin D. Lehner Germany
Kuniyasu Soda Japan
Ivy Ka Man Law United States
Bok-Soo Lee South Korea
Roberto Rivabene Italy
Jagan N. Thupari relative to G. Vallette France G. Vallette's profile →
Citations per field
00.5×9.5×
G. Vallette · 1×
Citations per year

Countries citing papers authored by Jagan N. Thupari

Since Specialization
Citations

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

Fields of papers citing papers by Jagan N. Thupari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jagan N. Thupari. 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 Jagan N. Thupari. The network helps show where Jagan N. Thupari may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200745
2 2007129
3 20062
4 200571
5 200462
6 2004102
7 200457
8 2002217
9 2001159
10
Malonyl-coenzyme-A is a potential mediator of cytotoxicity induced by fatty-acid synthase inhibition in human breast cancer cells and xenografts.
2000315
11 19962
12 19957
13 199525
14 19892
15
Depressed natural killer cell function in thermally injured adults: successful in vivo and in vitro immunomodulation and the role of endotoxin.
198828
16 198814
17 19882
18 198723
19
Endotoxemia in burn patients: levels of circulating endotoxins are related to burn size.
198796
20 198624

About Jagan N. Thupari

Jagan N. Thupari is a scholar working on Critical Care and Intensive Care Medicine, Clinical Biochemistry and Endocrinology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Immune Response and Inflammation (4 papers), Cancer, Lipids, and Metabolism (4 papers), Metabolism and Genetic Disorders (3 papers), Diet and metabolism studies (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes and associated disorders (2 papers) and Thermal Regulation in Medicine (2 papers). The work is most often cited by research in Cancer Research (613 citations), Endocrine and Autonomic Systems (157 citations) and Biochemistry (108 citations). Jagan N. Thupari has collaborated with scholars based in United States. Frequent co-authors include Francis P. Kuhajda, Michael L. Pinn, Gabriele V. Ronnett, Leslie E. Landree, Craig A. Townsend, Andrew M. Munster, Wan Fang Han, Richard A. Winchurch, Ellen S. Pizer and Francis J. Chrest. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

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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