Utpal Sen

118 papers receiving 3.8k citations

Peers

Utpal Sen
Comparison fields: 5 of 119
  • Biochemistry 1.1k
  • Rheumatology 831
  • Physiology 188
  • Nephrology 213
  • Clinical Biochemistry 180
Replace Naira Metreveli with:
Naira Metreveli United States
Jeffrey G. Dickhout Canada
Pawel M. Kaminski United States
Balakuntalam S. Kasinath United States
Tetsuro Ago Japan
Goutam Ghosh Choudhury United States
Mohamed Al‐Shabrawey United States
Belinda J. Michell Australia
Karni S. Moshal United States
Paras K. Mishra United States
Utpal Sen relative to Naira Metreveli United States Naira Metreveli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Utpal Sen

Since Specialization
Citations

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

Fields of papers citing papers by Utpal Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 2012179
3 2008151
4 2005147
5 2010142
6 2009133
7 2012101
8 200984
9 201379
10 200578
11 201774
12 200670
13 201068
14 200866
15 201064
16 201664
17 200663
18 201061
19 201160
20 200760

About Utpal Sen

Utpal Sen is a scholar working on Rheumatology, Biochemistry, Molecular Biology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 119 papers that have together received 3.9k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (38 papers), Sulfur Compounds in Biology (28 papers), Advanced Glycation End Products research (7 papers), Protease and Inhibitor Mechanisms (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Metabolism and Genetic Disorders (6 papers), Reproductive biology and impacts on aquatic species (6 papers) and Fish Ecology and Management Studies (5 papers). The work is most often cited by research in Biochemistry (1.1k citations), Rheumatology (831 citations), Physiology (188 citations), Nephrology (213 citations) and Clinical Biochemistry (180 citations). Utpal Sen has collaborated with scholars based in United States, India and France. Frequent co-authors include Neetu Tyagi, Suresh C. Tyagi, Sathnur Pushpakumar, Sourav Kundu, Srikanth Givvimani, Paras K. Mishra, Suresh C. Tyagi, Karni S. Moshal, Naira Metreveli and Charu Munjal. Their work appears in journals such as The FASEB Journal, Molecular and Cellular Biochemistry, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Heart and Circulatory Physiology and Pharmacological 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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