Ravi Basavappa
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 5
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
- Genetics top 10%
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- Viral Infections and Immunology Research 3
- Infectious Diseases top 10%
- Agronomy and Crop Science top 10%
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- Microtubule and mitosis dynamics 4
- Endoplasmic Reticulum Stress and Disease 3
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- Plant Virus Research Studies 3
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- Cancer-related Molecular Pathways 3
Ravi Basavappa
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 817
- Genetics 309
- Cardiology and Cardiovascular Medicine 188
- Infectious Diseases 118
- Agronomy and Crop Science 63
Countries citing papers authored by Ravi Basavappa
This map shows the geographic impact of Ravi Basavappa'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 Ravi Basavappa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Basavappa more than expected).
Fields of papers citing papers by Ravi Basavappa
This network shows the impact of papers produced by Ravi Basavappa. 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 Ravi Basavappa. The network helps show where Ravi Basavappa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravi Basavappa, 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 | 2011 | 2 | |
| 2 | 2008 | 13 | |
| 3 | 2007 | 56 | |
| 4 | 2006 | 3 | |
| 5 | 2005 | 28 | |
| 6 | 2004 | 135 | |
| 7 | 2003 | 13 | |
| 8 | 2003 | 10 | |
| 9 | 2003 | 9 | |
| 10 | 2002 | 59 | |
| 11 | 2002 | 35 | |
| 12 | 2002 | 19 | |
| 13 | 2002 | 12 | |
| 14 | 1999 | 58 | |
| 15 | 1999 | 22 | |
| 16 | 1998 | 15 | |
| 17 | 1994 | 150 | |
| 18 | 1991 | 177 | |
| 19 | Tertiary structure and computer modeling of plant 5S ribosomal RNA. | 1990 | 5 |
| 20 | 1988 | 416 |
About Ravi Basavappa
Ravi Basavappa is a scholar working on Cell Biology, Virology, Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Microtubule and mitosis dynamics (4 papers), Protein Structure and Dynamics (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Viral Infections and Immunology Research (3 papers), Plant Virus Research Studies (3 papers), Cancer-related Molecular Pathways (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Molecular Biology (817 citations), Genetics (309 citations), Cardiology and Cardiovascular Medicine (188 citations), Infectious Diseases (118 citations) and Agronomy and Crop Science (63 citations). Ravi Basavappa has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Paul B. Sigler, Keith R. Yamamoto, Leonard P. Freedman, Ben F. Luisi, Z. R. Korszun, James M. Hogle, Blanton S. Tolbert, Benjamin L. Miller, W.C. Hwang and R. Syed. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Virology, Journal of Structural Biology and Journal of the American Chemical Society.
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.