Kanwar Virdee

2.4k citations
21 papers · 1.4k · h-index 14

Impact in

Papers in

Kanwar Virdee

21 papers receiving 1.4k citations

Peers

Kanwar Virdee
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 521
  • Neurology 223
  • Physiology 532
  • Behavioral Neuroscience 57
  • Developmental Neuroscience 65
Replace Mikael J. L. Eliasson with:
Mikael J. L. Eliasson United States
Andrew Billinton United Kingdom
Linda M. Callahan United States
Michael Rigby United Kingdom
Joerg Neddens Germany
Jiaping Gu United States
Uta Wagner Germany
Yunfei Huang United States
Brian R. Hoover United States
Seema Malkani United States
Kanwar Virdee relative to Mikael J. L. Eliasson United States Mikael J. L. Eliasson's profile →
Citations per field
00.5×1.5×2×2.4×
Mikael J. L. Eliasson · 1×
Citations per year

Countries citing papers authored by Kanwar Virdee

Since Specialization
Citations

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

Fields of papers citing papers by Kanwar Virdee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002588
2 2000139
3 2014105
4 1997100
5 199694
6 199275
7 199565
8 201250
9 199947
10 201330
11 200724
12 200022
13 199416
14 201116
15 199013
16 201612
17 199411
18 201210
19 20164
20 19941

About Kanwar Virdee

Kanwar Virdee is a scholar working on Behavioral Neuroscience, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Alzheimer's disease research and treatments (5 papers), Stress Responses and Cortisol (4 papers), Neuroendocrine regulation and behavior (3 papers), Prion Diseases and Protein Misfolding (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (521 citations), Neurology (223 citations), Physiology (532 citations), Behavioral Neuroscience (57 citations) and Developmental Neuroscience (65 citations). Kanwar Virdee has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Aviva M. Tolkovsky, Philippe A. Parone, Hirotaka Yoshida, Michel Goedert, Maria Grazia Spillantini, Jeffrey W. Dalley, R. Anthony Crowther, Antonio Migheli, Takao Masaki and Molly Craxton. Their work appears in journals such as Journal of Neurochemistry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Neuroscience, Neurobiology of Aging 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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