John J. Sninsky
- Virology top 0.1%
- HIV Research and Treatment 20
- Hepatology top 0.5%
- Hepatitis C virus research 14
- Infectious Diseases top 0.2%
- Genetics top 0.5%
- Epidemiology top 0.5%
- Hepatitis B Virus Studies 20
- Liver Disease Diagnosis and Treatment 18
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- T-cell and Retrovirus Studies 16
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- Animal Disease Management and Epidemiology 15
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- RNA and protein synthesis mechanisms 10
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- Cancer Genomics and Diagnostics 9
- Co-authors
- Shirley KwokDavid H. GelfandThomas J. WhiteNancy McKinneyDavid H. MackAndrew G. ClarkRasmus NielsenD.E. Kellogg
- Journals
- Journal of Clinical Oncology (7 papers)The Journal of Infectious Diseases (6 papers)Nucleic Acids Research (6 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
John J. Sninsky
114 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Virology 2.9k
- Hepatology 1.5k
- Infectious Diseases 2.9k
- Genetics 2.6k
- Epidemiology 3.1k
Countries citing papers authored by John J. Sninsky
This map shows the geographic impact of John J. Sninsky'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 John J. Sninsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Sninsky more than expected).
Fields of papers citing papers by John J. Sninsky
This network shows the impact of papers produced by John J. Sninsky. 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 John J. Sninsky. The network helps show where John J. Sninsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John J. Sninsky, 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 | 2024 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 4 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 136 | |
| 6 | 2014 | 48 | |
| 7 | 2013 | 27 | |
| 8 | 2010 | 43 | |
| 9 | 2009 | 17 | |
| 10 | 2009 | 31 | |
| 11 | A Scan for Positively Selected Genes in the Genomes of Humans and Chimpanzeesbreakdown → | 2005 | 699 |
| 12 | Genetic Variation of BIV Isolates Characterized by PCR Using Degenerate Primers | 1995 | 3 |
| 13 | 1995 | 417 | |
| 14 | 1994 | 106 | |
| 15 | 1990 | 43 | |
| 16 | 1990 | 19 | |
| 17 | 1990 | 103 | |
| 18 | 1989 | 331 | |
| 19 | 1988 | 118 | |
| 20 | 1987 | 28 |
About John J. Sninsky
John J. Sninsky is a scholar working on Virology, Hepatology, Transplantation, Agronomy and Crop Science and Infectious Diseases, having authored 120 papers that have together received 12.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Hepatitis B Virus Studies (20 papers), Liver Disease Diagnosis and Treatment (18 papers), T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (15 papers), Hepatitis C virus research (14 papers), RNA and protein synthesis mechanisms (10 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Virology (2.9k citations), Hepatology (1.5k citations), Infectious Diseases (2.9k citations), Genetics (2.6k citations) and Epidemiology (3.1k citations). John J. Sninsky has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Shirley Kwok, David H. Gelfand, Thomas J. White, Nancy McKinney, David H. Mack, Andrew G. Clark, Rasmus Nielsen, D.E. Kellogg, Mark D. Adams and Carlos D. Bustamante. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Infectious Diseases, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Journal of Hepatology.
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.