Arvind Nanda

797 citations
16 papers · 701 · h-index 12

Impact in

Papers in

Arvind Nanda

16 papers receiving 686 citations

Peers

Arvind Nanda
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 171
  • Physiology 42
  • Molecular Biology 515
  • Immunology 156
  • Physiology 106
Replace E R Simons with:
E R Simons United States
J T Curnutte United States
Junko Kawawaki Japan
Dimitrios N. Sidiropoulos United States
Elizabeth Garami Canada
Lloyd S. Gray United States
J. D. Jamieson United States
R Klinger Germany
Sung Wook Park United States
N van den Berghe Netherlands
Arvind Nanda relative to E R Simons United States E R Simons's profile →
Citations per field
00.5×3.2×
E R Simons · 1×
Citations per year

Countries citing papers authored by Arvind Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Arvind Nanda, 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 Arvind Nanda Line = papers co-authored together Arvind Nanda links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1993112
2 1996104
3 199299
4 199185
5 199253
6 199444
7 199344
8 199133
9 199431
10 199426
11 199525
12 202012
13 199411
14 199111
15 20067
16 20114

About Arvind Nanda

Arvind Nanda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Physiology, having authored 16 papers that have together received 701 indexed citations. Recurring topics across this work include Ion channel regulation and function (7 papers), Lipid Membrane Structure and Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), ATP Synthase and ATPases Research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (171 citations), Physiology (42 citations), Molecular Biology (515 citations), Immunology (156 citations) and Physiology (106 citations). Arvind Nanda has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Sergio Grinstein, Gergely L. Lukács, J T Curnutte, Ori D. Rotstein, R Romanek, Julia Tseng, Anna S. Gukovskaya, András Kapùs, S Grinstein and Henrik Sengeløv. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Physiology-Cell Physiology, Molecular Biology of the Cell and FEBS Letters.

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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