Sushilkumar G. Devare
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- T-cell and Retrovirus Studies 5
-
- Animal Disease Management and Epidemiology 4
- Co-authors
- Stuart A. Aaronson (5 shared papers)Keith C. Robbins (3 shared papers)Harry N. Antoniades (2 shared papers)Michael W. Hunkapiller (2 shared papers)Russell F. Doolittle (1 shared paper)Leroy Hood (1 shared paper)John Stephenson (6 shared papers)E. Premkumar Reddy (2 shared papers)
- Journals
- Virology (4 papers)Science (3 papers)The Journal of Pediatrics (1 paper)Journal of Biosciences (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesItalyTanzania
In The Last Decade
Sushilkumar G. Devare
16 papers receiving 1.8k citations
Sushilkumar G. Devare's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 433
- Oncology 454
- Genetics 487
- Molecular Biology 1.2k
- Immunology and Allergy 96
Countries citing papers authored by Sushilkumar G. Devare
This map shows the geographic impact of Sushilkumar G. Devare'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 Sushilkumar G. Devare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushilkumar G. Devare more than expected).
Fields of papers citing papers by Sushilkumar G. Devare
This network shows the impact of papers produced by Sushilkumar G. Devare. 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 Sushilkumar G. Devare. The network helps show where Sushilkumar G. Devare may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushilkumar G. Devare, 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 | Simian Sarcoma Virus onc Gene, v- sis , Is Derived from the Gene (or Genes) Encoding a Platelet-Derived Growth Factor Hit paper breakdown → | 1983 | 1358 |
| 2 | 1983 | 318 | |
| 3 | 1982 | 87 | |
| 4 | 1981 | 78 | |
| 5 | 1988 | 49 | |
| 6 | 1978 | 44 | |
| 7 | 1976 | 40 | |
| 8 | 1977 | 28 | |
| 9 | 1982 | 21 | |
| 10 | 1978 | 20 | |
| 11 | 1986 | 15 | |
| 12 | 1979 | 14 | |
| 13 | 1977 | 14 | |
| 14 | 1978 | 7 | |
| 15 | 1985 | 6 | |
| 16 | 1988 | 4 |
About Sushilkumar G. Devare
Sushilkumar G. Devare is a scholar working on Immunology, Agronomy and Crop Science, Virology, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Polyomavirus and related diseases (3 papers), HIV Research and Treatment (3 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Immunology (433 citations), Oncology (454 citations), Genetics (487 citations), Molecular Biology (1.2k citations) and Immunology and Allergy (96 citations). Sushilkumar G. Devare has collaborated with scholars based in United States, Italy and Tanzania. Frequent co-authors include Stuart A. Aaronson, Keith C. Robbins, Harry N. Antoniades, Michael W. Hunkapiller, Russell F. Doolittle, Leroy Hood, John Stephenson, E. Premkumar Reddy, Fred H. Reynolds and Ronald W. Ellis. Their work appears in journals such as Virology, Science, The Journal of Pediatrics, Journal of Biosciences and JNCI Journal of the National Cancer Institute.
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.