Vikas Arige

566 citations
23 papers · 367 · h-index 12

Impact in

Papers in

    • Ion channel regulation and function 9
    • Protein Kinase Regulation and GTPase Signaling 6
    • Mitochondrial Function and Pathology 2
    • Neurobiology and Insect Physiology Research 3
    • Neuroscience and Neuropharmacology Research 2

Vikas Arige

20 papers receiving 366 citations

Peers

Vikas Arige
Comparison fields: 5 of 78
  • Sensory Systems 99
  • Physiology 73
  • Biochemistry 25
  • Cellular and Molecular Neuroscience 73
  • Molecular Biology 208
Replace Baixia Hao with:
Baixia Hao Hong Kong
Chun-Yin Lo Hong Kong
Anne‐Sophie Borowiec France
Alexandre Bokhobza France
Krishna Samanta India
Jonathan E. Pottle United States
Lu Sun China
A. Freek Weidema Netherlands
Michael S. Schappe United States
Pierre Rybarczyk France
Vikas Arige relative to Baixia Hao Hong Kong Baixia Hao's profile →
Citations per field
00.5×4.2×
Baixia Hao · 1×
Citations per year

Countries citing papers authored by Vikas Arige

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Arige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202170
2 202138
3 201938
4 202229
5 202029
6 202228
7 202220
8 202318
9 202316
10 202313
11 202212
12 201911
13 20219
14 20218
15 20167
16 20227
17 20206
18 20243
19 20213
20 20202

About Vikas Arige

Vikas Arige is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Sensory Systems and Cell Biology, having authored 23 papers that have together received 367 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Calcium signaling and nucleotide metabolism (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Ion Channels and Receptors (5 papers), Cellular transport and secretion (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Sensory Systems (99 citations), Physiology (73 citations), Biochemistry (25 citations), Cellular and Molecular Neuroscience (73 citations) and Molecular Biology (208 citations). Vikas Arige has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include David I. Yule, Larry E. Wagner, Mohamed Trebak, Ryan E. Yoast, Scott M. Emrich, Mariah R. Baker, Guizhen Fan, Ping Xin, Irina I. Serysheva and Nadine Hempel. Their work appears in journals such as Cell Calcium, Journal of Molecular and Cellular Cardiology, Nature Communications, Cell Reports and Journal of Biological Chemistry.

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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