Kavi Devraj

3.4k citations
41 papers · 1.9k · h-index 22

Impact in

  • Neurology top 1%
    • Barrier Structure and Function Studies
    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation

Papers in

    • Ion Transport and Channel Regulation 3
    • Metabolism, Diabetes, and Cancer 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Barrier Structure and Function Studies 15
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Kavi Devraj

41 papers receiving 1.9k citations

Peers

Kavi Devraj
Comparison fields: 5 of 111
  • Neurology 592
  • Cancer Research 284
  • Hematology 171
  • Genetics 150
  • Molecular Biology 885
Replace Yasuo Kokai with:
Yasuo Kokai Japan
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Chun Cheng China
André L. Samson Australia
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Celina García Mexico
Ingeborg Klaassen Netherlands
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Hyun‐Woo Jeong Germany
G. Astrid Limb United Kingdom
Kavi Devraj relative to Yasuo Kokai Japan Yasuo Kokai's profile →
Citations per field
00.5×
Yasuo Kokai · 1×
Citations per year

Countries citing papers authored by Kavi Devraj

Since Specialization
Citations

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

Fields of papers citing papers by Kavi Devraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014337
2 2007175
3 2016129
4 2012127
5 2014117
6 2014109
7 2020104
8 201387
9 201180
10 202077
11 201556
12 201744
13 201643
14 201836
15 202034
16 201734
17 202330
18 201928
19 201427
20 202022

About Kavi Devraj

Kavi Devraj is a scholar working on Molecular Biology, Neurology, Oncology, Genetics and Cell Biology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (15 papers), Drug Transport and Resistance Mechanisms (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ion Transport and Channel Regulation (3 papers), Caveolin-1 and cellular processes (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Neurology (592 citations), Cancer Research (284 citations), Hematology (171 citations), Genetics (150 citations) and Molecular Biology (885 citations). Kavi Devraj has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Liebner, Cathrin J. Czupalla, Jadranka Macas, Karl H. Plate, Ian A. Simpson, James R. Connor, Roland L. Myers, Yvonne Reiss, Stefan Momma and Sylvaine Guérit. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Journal of Visualized Experiments, Acta Neuropathologica, The Journal of Experimental Medicine and Journal of Neuroinflammation.

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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