Vrushali Chavan
Impact in
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- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
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- Virus-based gene therapy research
- Genetics and Neurodevelopmental Disorders
Papers in
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- Mitochondrial Function and Pathology 3
- Connexins and lens biology 2
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- Hippo pathway signaling and YAP/TAZ 4
- Cellular transport and secretion 4
- Co-authors
- Konark Mukherjee (8 shared papers)Leslie E. W. LaConte (4 shared papers)Sarika Srivastava (5 shared papers)Moanaro Biswas (1 shared paper)Subbiah Elankumaran (1 shared paper)Siba K. Samal (1 shared paper)Dan Qiao (1 shared paper)Susanne Schoch (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)Acta Neuropathologica Communications (1 paper)Scientific Reports (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Vrushali Chavan
10 papers receiving 285 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 89
- Genetics 119
- Cellular and Molecular Neuroscience 49
- Molecular Biology 171
- Animal Science and Zoology 23
Countries citing papers authored by Vrushali Chavan
This map shows the geographic impact of Vrushali Chavan'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 Vrushali Chavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vrushali Chavan more than expected).
Fields of papers citing papers by Vrushali Chavan
This network shows the impact of papers produced by Vrushali Chavan. 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 Vrushali Chavan. The network helps show where Vrushali Chavan may publish in the future.
Co-authors
The 24 scholars most cited alongside Vrushali Chavan, 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 | 2010 | 69 | |
| 2 | 2016 | 48 | |
| 3 | 2015 | 40 | |
| 4 | 2016 | 36 | |
| 5 | 2018 | 29 | |
| 6 | 2016 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2014 | 15 | |
| 9 | 2016 | 7 | |
| 10 | 2020 | 4 |
About Vrushali Chavan
Vrushali Chavan is a scholar working on Molecular Biology, Cell Biology, Clinical Biochemistry, Genetics and Genetics, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Cellular transport and secretion (4 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (2 papers), Connexins and lens biology (2 papers), Neurological diseases and metabolism (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Cell Biology (89 citations), Genetics (119 citations), Cellular and Molecular Neuroscience (49 citations), Molecular Biology (171 citations) and Animal Science and Zoology (23 citations). Vrushali Chavan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Konark Mukherjee, Leslie E. W. LaConte, Sarika Srivastava, Moanaro Biswas, Subbiah Elankumaran, Siba K. Samal, Dan Qiao, Susanne Schoch, Grahame J. Kidd and Xinran Liu. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, Acta Neuropathologica Communications, Scientific Reports and Cellular and Molecular Life Sciences.
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.