Vidhya M. Ravi
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Tryptophan and brain disorders
Papers in
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- Single-cell and spatial transcriptomics 3
- Extracellular vesicles in disease 2
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- Immune cells in cancer 4
- interferon and immune responses 2
- Co-authors
- Kevin Joseph (14 shared papers)Oliver Schnell (11 shared papers)Dieter Henrik Heiland (13 shared papers)Melanie Meyer‐Luehmann (2 shared papers)Sabina Tahirović (1 shared paper)Laura Sebastián Monasor (1 shared paper)Marco Prinz (3 shared papers)Sabine Liebscher (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)Cell Death and Disease (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Vidhya M. Ravi
26 papers receiving 427 citations
Peers
Comparison fields: 5 of 72
- Neurology 123
- Biological Psychiatry 26
- Developmental Neuroscience 23
- Genetics 55
- Immunology 88
Countries citing papers authored by Vidhya M. Ravi
This map shows the geographic impact of Vidhya M. Ravi'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 Vidhya M. Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidhya M. Ravi more than expected).
Fields of papers citing papers by Vidhya M. Ravi
This network shows the impact of papers produced by Vidhya M. Ravi. 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 Vidhya M. Ravi. The network helps show where Vidhya M. Ravi may publish in the future.
Co-authors
The 25 scholars most cited alongside Vidhya M. Ravi, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2022 | 60 | |
| 3 | 2019 | 51 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 11 | |
| 10 | 2025 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2019 | 1 |
About Vidhya M. Ravi
Vidhya M. Ravi is a scholar working on Molecular Biology, Immunology, Genetics, Neurology and Oncology, having authored 26 papers that have together received 431 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Neuroscience and Neuropharmacology Research (2 papers), interferon and immune responses (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Neurology (123 citations), Biological Psychiatry (26 citations), Developmental Neuroscience (23 citations), Genetics (55 citations) and Immunology (88 citations). Vidhya M. Ravi has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Kevin Joseph, Oliver Schnell, Dieter Henrik Heiland, Melanie Meyer‐Luehmann, Sabina Tahirović, Laura Sebastián Monasor, Marco Prinz, Sabine Liebscher, Daniel Erny and Stephanie Ziegler‐Waldkirch. Their work appears in journals such as Neuro-Oncology, Cell Death and Disease, Nature Communications, Clinical Cancer Research and PLoS ONE.
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.