Nitin Kumar

27 papers receiving 482 citations

Peers

Nitin Kumar
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 109
  • Cardiology and Cardiovascular Medicine 128
  • Physiology 74
  • Nephrology 19
  • Endocrinology, Diabetes and Metabolism 44
Replace Angela Serena Maione with:
Angela Serena Maione Italy
Guowei Zhou China
J. N. Sharma Malaysia
Haiying Peng China
Helen Prior United Kingdom
Marjan van Erk Netherlands
Xiao Han China
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Citations per field
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Citations per year

Countries citing papers authored by Nitin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201255
2 201849
3 201448
4 201645
5 201341
6 201741
7 202140
8 201837
9 201823
10 202417
11 201815
12 201013
13 201612
14 20159
15 20179
16 20187
17 20236
18 20206
19 20244
20 20241

About Nitin Kumar

Nitin Kumar is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 30 papers that have together received 485 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (3 papers), Diet, Metabolism, and Disease (3 papers), Hormonal Regulation and Hypertension (3 papers), Natural Antidiabetic Agents Studies (2 papers), Cell Adhesion Molecules Research (2 papers), Pain Mechanisms and Treatments (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (109 citations), Cardiology and Cardiovascular Medicine (128 citations), Physiology (74 citations), Nephrology (19 citations) and Endocrinology, Diabetes and Metabolism (44 citations). Nitin Kumar has collaborated with scholars based in United States, India and New Zealand. Frequent co-authors include Congcong Yin, Thomas E. Prisinzano, Bronwyn M. Kivell, Edward L. Peterson, Oscar A. Carretero, Rachel Saylor Crowley, César A. Romero, Santhi K. Ganesh, Helen Close and A. P. S. Hungin. Their work appears in journals such as American Journal of Physiology-Renal Physiology, International Journal of Retina and Vitreous, Hypertension, Journal of the Neurological Sciences and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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