Sushilkumar G. Devare
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects
- Ubiquitin and proteasome pathways
Papers in
- Virology 3
- HIV Research and Treatment 3
-
- Animal Disease Management and Epidemiology 4
- Co-authors
- Stuart A. AaronsonKeith C. RobbinsHarry N. AntoniadesMichael W. HunkapillerRussell F. DoolittleLeroy HoodJohn StephensonE. Premkumar Reddy
- Journals
- Virology (4 papers)Science (3 papers)JNCI Journal of the National Cancer Institute (1 paper)The Journal of Pediatrics (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesTanzaniaItaly
In The Last Decade
Sushilkumar G. Devare
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 386
- Molecular Biology 1.1k
- Genetics 448
- Oncology 414
- Immunology and Allergy 87
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-authorship network
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 | 1988 | 4 | |
| 2 | 1988 | 48 | |
| 3 | 1986 | 13 | |
| 4 | 1985 | 6 | |
| 5 | 1983 | 291 | |
| 6 | Simian Sarcoma Virus onc Gene, v- sis , Is Derived from the Gene (or Genes) Encoding a Platelet-Derived Growth Factor Hit paper breakdown → | 1983 | 1234 |
| 7 | 1982 | 82 | |
| 8 | 1982 | 21 | |
| 9 | 1981 | 75 | |
| 10 | 1979 | 10 | |
| 11 | 1978 | 19 | |
| 12 | 1978 | 38 | |
| 13 | 1978 | 5 | |
| 14 | 1977 | 14 | |
| 15 | 1977 | 23 | |
| 16 | 1976 | 33 |
About Sushilkumar G. Devare
Sushilkumar G. Devare is a scholar working on Virology, Agronomy and Crop Science, Immunology, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 1.9k 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), HIV Research and Treatment (3 papers), Virus-based gene therapy research (3 papers), Polyomavirus and related diseases (3 papers), Animal Virus Infections Studies (3 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Immunology (386 citations), Molecular Biology (1.1k citations), Genetics (448 citations), Oncology (414 citations) and Immunology and Allergy (87 citations). Sushilkumar G. Devare has collaborated with scholars based in United States, Tanzania and Italy. 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, Ronald Ellis and Edward M. Scolnick. Their work appears in journals such as Virology, Science, JNCI Journal of the National Cancer Institute, The Journal of Pediatrics and The Journal of Immunology.
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.