Ravindra Pathak
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Genetics top 5%
- Virus-based gene therapy research
Papers in
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- Caveolin-1 and cellular processes 4
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- Metabolism, Diabetes, and Cancer 2
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Richard G.W. Anderson (5 shared papers)Joseph L. Goldstein (2 shared papers)Michael S. Brown (2 shared papers)Christine Kim Garcia (2 shared papers)Steven E. Raper (1 shared paper)Yiping Yang (1 shared paper)Karin Jooss (1 shared paper)Katherine A. High (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (2 papers)Cell (2 papers)Nature Medicine (1 paper)Biology of Reproduction (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Ravindra Pathak
11 papers receiving 1.8k citations
Ravindra Pathak's Hit Papers
Peers
Comparison fields: 5 of 102
- Cell Biology 355
- Genetics 537
- Biochemistry 129
- Molecular Biology 1.1k
- Clinical Biochemistry 107
Countries citing papers authored by Ravindra Pathak
This map shows the geographic impact of Ravindra Pathak'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 Ravindra Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravindra Pathak more than expected).
Fields of papers citing papers by Ravindra Pathak
This network shows the impact of papers produced by Ravindra Pathak. 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 Ravindra Pathak. The network helps show where Ravindra Pathak may publish in the future.
Co-authors
The 21 scholars most cited alongside Ravindra Pathak, 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 | Recombinant adeno-associated virus for muscle directed gene therapy Hit paper breakdown → | 1997 | 564 |
| 2 | 1994 | 483 | |
| 3 | 1985 | 307 | |
| 4 | 1995 | 301 | |
| 5 | 1996 | 108 | |
| 6 | Early effects of pp60(v-src) kinase activation on caveolae. | 1998 | 39 |
| 7 | 1998 | 38 | |
| 8 | 1983 | 10 | |
| 9 | 1998 | 1 | |
| 10 | 2011 | 1 | |
| 11 | 2021 | 1 |
About Ravindra Pathak
Ravindra Pathak is a scholar working on Cell Biology, Molecular Biology, Genetics, Immunology and Surgery, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Metabolism and Genetic Disorders (1 paper), Geotechnical Engineering and Underground Structures (1 paper), Geotechnical Engineering and Soil Stabilization (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (355 citations), Genetics (537 citations), Biochemistry (129 citations), Molecular Biology (1.1k citations) and Clinical Biochemistry (107 citations). Ravindra Pathak has collaborated with scholars based in United States and India. Frequent co-authors include Richard G.W. Anderson, Joseph L. Goldstein, Michael S. Brown, Christine Kim Garcia, Steven E. Raper, Yiping Yang, Karin Jooss, Katherine A. High, J. M. Alston and James M. Wilson. Their work appears in journals such as Journal of Cellular Biochemistry, Cell, Nature Medicine, Biology of Reproduction and Journal of Biological Chemistry.
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.