Kavi Devraj
Impact in
- Neurology top 0.5%
- Barrier Structure and Function Studies
- Biochemistry top 5%
Papers in
- Neurology 18
- Barrier Structure and Function Studies 18
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- Angiogenesis and VEGF in Cancer 3
- Bone Metabolism and Diseases 1
- Co-authors
- Stefan Liebner (18 shared papers)Cathrin J. Czupalla (4 shared papers)Jadranka Macas (9 shared papers)Karl Heinz Plate (8 shared papers)Ian A. Simpson (4 shared papers)James R. Connor (2 shared papers)Roland L. Myers (2 shared papers)Yvonne Reiss (7 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (6 papers)Acta Neuropathologica (3 papers)Journal of Visualized Experiments (2 papers)Journal of Alzheimer s Disease (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kavi Devraj
46 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 79
- Neurology 626
- Biochemistry 40
- Molecular Biology 528
- Genetics 79
- Hematology 122
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-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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 358 | |
| 2 | 2017 | 208 | |
| 3 | 2007 | 183 | |
| 4 | 2016 | 147 | |
| 5 | 2017 | 145 | |
| 6 | 2012 | 139 | |
| 7 | 2022 | 138 | |
| 8 | 2014 | 131 | |
| 9 | 2014 | 117 | |
| 10 | 2020 | 114 | |
| 11 | 2013 | 94 | |
| 12 | 2011 | 90 | |
| 13 | 2019 | 83 | |
| 14 | 2020 | 83 | |
| 15 | 2022 | 72 | |
| 16 | 2015 | 59 | |
| 17 | 2017 | 48 | |
| 18 | 2016 | 43 | |
| 19 | 2018 | 40 | |
| 20 | 2017 | 39 |
About Kavi Devraj
Kavi Devraj is a scholar working on Neurology, Molecular Biology, Hematology, Genetics and Ophthalmology, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (18 papers), Angiogenesis and VEGF in Cancer (3 papers), Iron Metabolism and Disorders (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Alzheimer's disease research and treatments (1 paper), Acute Ischemic Stroke Management (1 paper), Caveolin-1 and cellular processes (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Neurology (626 citations), Biochemistry (40 citations), Molecular Biology (528 citations), Genetics (79 citations) and Hematology (122 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 Heinz Plate, Ian A. Simpson, James R. Connor, Roland L. Myers, Yvonne Reiss, Sylvaine Guérit and Stefan Momma. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Acta Neuropathologica, Journal of Visualized Experiments, Journal of Alzheimer s Disease and Journal of Neurochemistry.
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.