Kashyap Choksi

652 citations
11 papers · 529 indexed · h-index 9
Topics
Mitochondrial Function and Pathology (6 papers)Coenzyme Q10 studies and effects (6 papers)Cardiac Fibrosis and Remodeling (3 papers)
Partner nations
United StatesChina

In The Last Decade

Kashyap Choksi

11 papers receiving 518 citations

Peers

Kashyap Choksi
Comparison fields: 5 of 84
  • Molecular Biology 337
  • Physiology 149
  • Cell Biology 97
  • Epidemiology 62
  • Aging 62
Replace Irene Pradas with:
Irene Pradas Spain
Sung Yeul Yang South Korea
Gobinath Shanmugam United States
Antonio Esteras Spain
Sabine Borchard Germany
Yusuf Olğar Türkiye
Steven Vitale United States
Patrícia Cristine Borck Brazil
Stéphanie Rimbaud France
Steven A. Murfitt United Kingdom
Kashyap Choksi relative to Irene Pradas Spain Irene Pradas's profile →
Citations per field
00.5×8.5×
Irene Pradas · 1×
Citations per year

Countries citing papers authored by Kashyap Choksi

Since Specialization
Citations

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

Fields of papers citing papers by Kashyap Choksi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kashyap Choksi

This figure shows the co-authorship network connecting the top 25 collaborators of Kashyap Choksi. A scholar is included among the top collaborators of Kashyap Choksi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kashyap Choksi. Kashyap Choksi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 11
2 1
3
Abstract 15693: Genetic Deletion of Interleukin-6 Attenuates Left Ventricular Dysfunction and Remodeling After a Reperfused Myocardial Infarction
1
4 27
5 62
6 60
7 18
8 104
9 65
10 163
11 17

About Kashyap Choksi

Kashyap Choksi is a scholar working on Aging, Biochemistry and Clinical Biochemistry, having authored 11 papers that have together received 529 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Coenzyme Q10 studies and effects (6 papers) and Cardiac Fibrosis and Remodeling (3 papers). The work is most often cited by research in Aging (62 citations), Clinical Biochemistry (41 citations) and Cell Biology (97 citations). Kashyap Choksi has collaborated with scholars based in United States and China. Frequent co-authors include John Papaconstantinou, Jonathan E. Nuss, James H. DeFord, Jeffrey P. Rabek, William H. Boylston, William R. Widger, J. E. Johnson, L. Jackson Roberts, Rupal P. Soder and Magdy Girgis. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Circulation 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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