Jonathan J. Cherry
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Virus-based gene therapy research
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- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
-
- RNA modifications and cancer 10
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- Genetics 12
- Neurogenetic and Muscular Disorders Research 12
- Co-authors
- Elliot J. Androphy (12 shared papers)James Baleja (3 shared papers)Yuqi Liu (2 shared papers)Matthew C. Evans (3 shared papers)Marcie A. Glicksman (4 shared papers)V. Jo Davisson (1 shared paper)Jason J. Chen (1 shared paper)Johannes Voigt (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Biochemical and Biophysical Research Communications (1 paper)Assay and Drug Development Technologies (1 paper)Antiviral Research (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Jonathan J. Cherry
18 papers receiving 433 citations
Peers
Comparison fields: 5 of 57
- Genetics 144
- Molecular Biology 262
- Epidemiology 115
- Oncology 63
- Genetics 62
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2006 | 60 | |
| 3 | 2013 | 36 | |
| 4 | 2007 | 33 | |
| 5 | 2011 | 32 | |
| 6 | 2009 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2012 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2011 | 17 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2007 | 13 | |
| 16 | 2023 | 10 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 4 |
About Jonathan J. Cherry
Jonathan J. Cherry is a scholar working on Molecular Biology, Genetics, Epidemiology, Surgery and Oncology, having authored 18 papers that have together received 435 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (12 papers), RNA modifications and cancer (10 papers), Cervical Cancer and HPV Research (4 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (4 papers), Hepatitis B Virus Studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Genetics (144 citations), Molecular Biology (262 citations), Epidemiology (115 citations), Oncology (63 citations) and Genetics (62 citations). Jonathan J. Cherry has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Elliot J. Androphy, James Baleja, Yuqi Liu, Matthew C. Evans, Marcie A. Glicksman, V. Jo Davisson, Jason J. Chen, Johannes Voigt, Zhiguo Liu and Gregory D. Cuny. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Assay and Drug Development Technologies, Antiviral Research and JCI Insight.
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.