Kavi Devraj
- Neurology top 1%
- Barrier Structure and Function Studies 16
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Cancer Research top 10%
- Genetics top 5%
- Glioma Diagnosis and Treatment 4
- Hematology top 5%
- Molecular Biology top 10%
- Ion Transport and Channel Regulation 3
- Angiogenesis and VEGF in Cancer 3
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- Drug Transport and Resistance Mechanisms 9
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- Axon Guidance and Neuronal Signaling 3
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- Caveolin-1 and cellular processes 3
- Co-authors
- Stefan LiebnerCathrin J. CzupallaJadranka MacasKarl H. PlateIan A. SimpsonJames R. ConnorYvonne ReissRoland L. Myers
- Cited by
- NeurologyCancer ResearchGenetics
- Journals
- Journal of Cerebral Blood Flow & Metabolism (6 papers)Acta Neuropathologica (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kavi Devraj
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Neurology 609
- Cancer Research 301
- Genetics 178
- Hematology 183
- Molecular Biology 940
Countries citing papers authored by Kavi Devraj
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2023 | 28 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 76 | |
| 7 | 2020 | 98 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 33 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 36 | |
| 12 | 2017 | 34 | |
| 13 | 2017 | 20 | |
| 14 | 2016 | 42 | |
| 15 | 2016 | 128 | |
| 16 | 2014 | 115 | |
| 17 | 2014 | 332 | |
| 18 | 2013 | 87 | |
| 19 | 2007 | 172 | |
| 20 | 2004 | 7 |
About Kavi Devraj
Kavi Devraj is a scholar working on Neurology, Genetics and Oncology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (16 papers), Drug Transport and Resistance Mechanisms (9 papers), Glioma Diagnosis and Treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ion Transport and Channel Regulation (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Caveolin-1 and cellular processes (3 papers). The work is most often cited by research in Neurology (609 citations), Cancer Research (301 citations) and Genetics (178 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, Yvonne Reiss, Roland L. Myers, Sylvaine Guérit and Jasmin Fisher. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Acta Neuropathologica, Journal of Visualized Experiments, Scientific Reports and Progress in Neurobiology.
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.