Ravinder Abrol

2.6k citations
62 papers · 1.6k indexed · h-index 27

Impact in

Papers in

Ravinder Abrol

60 papers receiving 1.6k citations

Peers

Ravinder Abrol
Comparison fields: 5 of 106
  • Sensory Systems 146
  • Cellular and Molecular Neuroscience 329
  • Nutrition and Dietetics 240
  • Molecular Biology 926
  • Virology 48
Replace Elisabeth P. Carpenter with:
Elisabeth P. Carpenter United Kingdom
Kevin Song United States
Emilia L. Wu United States
Richard K. Hite United States
Wade D. Van Horn United States
Ulrich Zachariae United Kingdom
Jian Payandeh United States
William E. Meador United States
Joseph B. Lim United States
Irina D. Pogozheva United States
Ravinder Abrol relative to Elisabeth P. Carpenter United Kingdom Elisabeth P. Carpenter's profile →
Citations per field
00.5×1.5×
Elisabeth P. Carpenter · 1×
Citations per year

Countries citing papers authored by Ravinder Abrol

Since Specialization
Citations

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

Fields of papers citing papers by Ravinder Abrol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20223
4 20207
5 201670
6 201610
7 201415
8 201413
9 201355
10 201317
11 20121
12 201234
13 20122
14 201191
15 201120
16 201048
17 200731
18 200683
19 200540
20 200228

About Ravinder Abrol

Ravinder Abrol is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Virology, Sensory Systems and Spectroscopy, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (19 papers), Advanced Chemical Physics Studies (8 papers), Protein Structure and Dynamics (7 papers), Biochemical Analysis and Sensing Techniques (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Sensory Systems (146 citations), Cellular and Molecular Neuroscience (329 citations), Nutrition and Dietetics (240 citations), Molecular Biology (926 citations) and Virology (48 citations). Ravinder Abrol has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include William A. Goddard, Aron Kuppermann, Bartosz Trzaskowski, Soo‐Kyung Kim, Vaclav Cvicek, Jun Tan, Linda C. Hsieh‐Wilson, Claude J. Rogers, Youyong Li and Jiyoung Heo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics, Journal of Chemical Information and Modeling, Biochemical and Biophysical Research Communications and Proteins Structure Function and Bioinformatics.

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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