Jonathan J. Cherry
Impact in
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research
- Virus-based gene therapy research
-
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
- Genetics 16
- Neurogenetic and Muscular Disorders Research 16
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- RNA modifications and cancer 12
- RNA Research and Splicing 5
- Cancer-related gene regulation 4
- Co-authors
- Elliot J. Androphy (15 shared papers)James Baleja (3 shared papers)Matthew C. Evans (4 shared papers)Yuqi Liu (2 shared papers)Marcie A. Glicksman (4 shared papers)Gregory D. Cuny (4 shared papers)Jason J. Chen (1 shared paper)Hua Gao (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)PLoS ONE (2 papers)SLAS DISCOVERY (1 paper)Future Medicinal Chemistry (1 paper)Antiviral Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Jonathan J. Cherry
22 papers receiving 482 citations
Peers
Comparison fields: 5 of 58
- Genetics 177
- Molecular Biology 310
- Epidemiology 117
- Oncology 66
- Genetics 72
Countries citing papers authored by Jonathan J. Cherry
This map shows the geographic impact of Jonathan J. Cherry'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 Jonathan J. Cherry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Cherry more than expected).
Fields of papers citing papers by Jonathan J. Cherry
This network shows the impact of papers produced by Jonathan J. Cherry. 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 Jonathan J. Cherry. The network helps show where Jonathan J. Cherry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan J. Cherry, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 75 | |
| 2 | 2006 | 64 | |
| 3 | 2013 | 41 | |
| 4 | 2011 | 36 | |
| 5 | 2007 | 36 | |
| 6 | 2014 | 29 | |
| 7 | 2009 | 26 | |
| 8 | 2012 | 23 | |
| 9 | 2011 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2017 | 17 | |
| 13 | 2012 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2007 | 13 | |
| 17 | 2023 | 10 | |
| 18 | 2017 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2016 | 2 |
About Jonathan J. Cherry
Jonathan J. Cherry is a scholar working on Genetics, Molecular Biology, Epidemiology, Oncology and Genetics, having authored 22 papers that have together received 490 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (16 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (5 papers), Cervical Cancer and HPV Research (4 papers), Cancer-related gene regulation (4 papers), Cancer-related Molecular Pathways (3 papers), Hepatitis B Virus Studies (3 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Genetics (177 citations), Molecular Biology (310 citations), Epidemiology (117 citations), Oncology (66 citations) and Genetics (72 citations). Jonathan J. Cherry has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Elliot J. Androphy, James Baleja, Matthew C. Evans, Yuqi Liu, Marcie A. Glicksman, Gregory D. Cuny, Jason J. Chen, Hua Gao, Marc C. Nicklaus and Zhiguo Liu. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, SLAS DISCOVERY, Future Medicinal Chemistry and Antiviral 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.