Satyesh K. Sinha

1.0k citations
25 papers · 733 indexed · h-index 14
Topics
Atherosclerosis and Cardiovascular Diseases (6 papers)Chronic Kidney Disease and Diabetes (4 papers)Protease and Inhibitor Mechanisms (4 papers)
Partner nations
United StatesIndiaPoland

In The Last Decade

Satyesh K. Sinha

23 papers receiving 728 citations

Peers

Satyesh K. Sinha
Comparison fields: 5 of 95
  • Molecular Biology 252
  • Endocrinology, Diabetes and Metabolism 157
  • Immunology 138
  • Physiology 132
  • Pharmacology 128
Replace Ashley Pitzer with:
Ashley Pitzer United States
Pablo Nakagawa United States
Figen Gürdöl Türkiye
Takafumi Taguchi Japan
Füsun Erdenen Türkiye
Rosangela Spiga Italy
Marie Buléon France
Chieh‐Hua Lu Taiwan
Liad Hinden Israel
Peter Ochodnický Netherlands
Satyesh K. Sinha relative to Ashley Pitzer United States Ashley Pitzer's profile →
Citations per field
00.5×4.6×
Ashley Pitzer · 1×
Citations per year

Countries citing papers authored by Satyesh K. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Satyesh K. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satyesh K. Sinha. 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 Satyesh K. Sinha. The network helps show where Satyesh K. Sinha may publish in the future.

Co-authorship network of co-authors of Satyesh K. Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Satyesh K. Sinha. A scholar is included among the top collaborators of Satyesh K. Sinha 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 Satyesh K. Sinha. Satyesh K. Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 5
5 33
6 4
7 71
8 7
9 2
10 74
11 26
12 4
13 29
14
Nuclear localization of catalytically active MMP-2 in endothelial cells and neurons.
19
15
Effects of G-CSF on serum cholesterol and development of atherosclerotic plaque in apolipoprotein E-deficient mice.
10
16 113
17 19
18 10
19 12
20 106

About Satyesh K. Sinha

Satyesh K. Sinha is a scholar working on Nephrology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 733 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Nephrology (79 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Pharmacology (128 citations). Satyesh K. Sinha has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Tripathi B. Rajavashisth, Susanne B. Nicholas, Aldons J. Lusis, Keith C. Norris, Magda Shaheen, Theodore C. Friedman, Deyu Pan, Ravi Jasuja, Shalender Bhasin and Venkatesh Krishnan. Their work appears in journals such as Diabetes Care, Endocrinology and Arteriosclerosis Thrombosis and Vascular Biology.

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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