Tyson V. Sharp
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Immunology top 10%
- interferon and immune responses
Papers in
-
- Cancer, Hypoxia, and Metabolism 9
- MicroRNA in disease regulation 5
-
- RNA modifications and cancer 9
- RNA Research and Splicing 6
- RNA regulation and disease 6
- Co-authors
- Michael J. Clemens (5 shared papers)Ian W. Jeffrey (4 shared papers)Dimitris Lagos (7 shared papers)Rosemary Jagus (3 shared papers)Kunal Shah (8 shared papers)Hsei–Wei Wang (3 shared papers)CHRIS H. BOSHOFF (3 shared papers)Tristan R. McKay (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (3 papers)European Journal of Biochemistry (3 papers)Virology (2 papers)Stem Cell Research (2 papers)
- Partner nations
- United KingdomUnited StatesTaiwan
In The Last Decade
Tyson V. Sharp
48 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 342
- Immunology 314
- Oncology 365
- Molecular Biology 967
- Virology 62
Countries citing papers authored by Tyson V. Sharp
This map shows the geographic impact of Tyson V. Sharp'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 Tyson V. Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyson V. Sharp more than expected).
Fields of papers citing papers by Tyson V. Sharp
This network shows the impact of papers produced by Tyson V. Sharp. 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 Tyson V. Sharp. The network helps show where Tyson V. Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyson V. Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 170 | |
| 2 | 1993 | 157 | |
| 3 | 2017 | 117 | |
| 4 | 1998 | 102 | |
| 5 | 2012 | 83 | |
| 6 | 2012 | 75 | |
| 7 | 2004 | 73 | |
| 8 | 2013 | 62 | |
| 9 | 2008 | 62 | |
| 10 | 2010 | 57 | |
| 11 | 2017 | 56 | |
| 12 | 1994 | 55 | |
| 13 | 1994 | 55 | |
| 14 | 2016 | 52 | |
| 15 | 2008 | 49 | |
| 16 | 1997 | 47 | |
| 17 | 2014 | 44 | |
| 18 | 2016 | 38 | |
| 19 | 1993 | 35 | |
| 20 | 1999 | 31 |
About Tyson V. Sharp
Tyson V. Sharp is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), RNA Research and Splicing (6 papers), RNA regulation and disease (6 papers), Viral-associated cancers and disorders (5 papers), MicroRNA in disease regulation (5 papers), interferon and immune responses (4 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Cancer Research (342 citations), Immunology (314 citations), Oncology (365 citations), Molecular Biology (967 citations) and Virology (62 citations). Tyson V. Sharp has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Michael J. Clemens, Ian W. Jeffrey, Dimitris Lagos, Rosemary Jagus, Kunal Shah, Hsei–Wei Wang, CHRIS H. BOSHOFF, Tristan R. McKay, Daniel Yee and Ken G. Laing. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, European Journal of Biochemistry, Virology and Stem Cell Research.
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.