Arnab Barik

25 papers receiving 1.2k citations

Peers

Arnab Barik
Comparison fields: 5 of 93
  • Sensory Systems 113
  • Cellular and Molecular Neuroscience 346
  • Neurology 260
  • Physiology 398
  • Developmental Neuroscience 57
Replace Anupama Sathyamurthy with:
Anupama Sathyamurthy United States
M.J. Oswald New Zealand
Jean Valmier France
Mona M. Freidin United States
Laura Flores‐Sarnat Canada
Marcin Szczot United States
Mohamed Lehar United States
Eduardo Silva Portugal
Stephen A. Schnell United States
Ilia D. Vainchtein United States
Arnab Barik relative to Anupama Sathyamurthy United States Anupama Sathyamurthy's profile →
Citations per field
00.5×2.7×
Anupama Sathyamurthy · 1×
Citations per year

Countries citing papers authored by Arnab Barik

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Barik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018212
2 2013152
3 2014110
4 201994
5 201682
6 201882
7 201778
8 201665
9 201460
10 201554
11 201245
12 202143
13 202042
14 201927
15 201026
16 201823
17 201517
18 20228
19 20216
20 20233

About Arnab Barik

Arnab Barik is a scholar working on Behavioral Neuroscience, Developmental Neuroscience, Sensory Systems, Cellular and Molecular Neuroscience and Dermatology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Neuroendocrine regulation and behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Nerve injury and regeneration (4 papers), Dermatology and Skin Diseases (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Sensory Systems (113 citations), Cellular and Molecular Neuroscience (346 citations), Neurology (260 citations), Physiology (398 citations) and Developmental Neuroscience (57 citations). Arnab Barik has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Lin Mei, Wen‐Cheng Xiong, Alexander T. Chesler, Anupama Sathyamurthy, James H. Thompson, Yisheng Lu, Chengyong Shen, Nima Ghitani, Haitao Wu and Bin Zhang. Their work appears in journals such as eLife, Journal of Neuroscience, Development, Neuron and Cell Reports.

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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