Jonathan W. Lee
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- PARP inhibition in cancer therapy
- Cancer Immunotherapy and Biomarkers
Papers in
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- RNA Research and Splicing 2
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- Neonatal and fetal brain pathology 3
- Co-authors
- Eileen M. O’Reilly (3 shared papers)David P. Kelsen (3 shared papers)Hedy L. Kindler (3 shared papers)Maeve A. Lowery (3 shared papers)Marinela Capanu (3 shared papers)Alice P. Chen (3 shared papers)Talia Golan (3 shared papers)Zsofia K. Stadler (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)RNA (1 paper)European Journal of Cancer (1 paper)International Journal of Molecular Sciences (1 paper)The American Journal of Medicine (1 paper)
- Partner nations
- United StatesTaiwanIsrael
In The Last Decade
Jonathan W. Lee
16 papers receiving 680 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 244
- Oncology 374
- Genetics 97
- Biological Psychiatry 8
- Molecular Biology 203
Countries citing papers authored by Jonathan W. Lee
This map shows the geographic impact of Jonathan W. Lee'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 W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Lee more than expected).
Fields of papers citing papers by Jonathan W. Lee
This network shows the impact of papers produced by Jonathan W. Lee. 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 W. Lee. The network helps show where Jonathan W. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan W. Lee, 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 | 2020 | 253 | |
| 2 | 2017 | 123 | |
| 3 | 1990 | 63 | |
| 4 | 2015 | 43 | |
| 5 | 2015 | 29 | |
| 6 | 2017 | 29 | |
| 7 | 2014 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2013 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2017 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Jonathan W. Lee
Jonathan W. Lee is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 20 papers that have together received 687 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), PARP inhibition in cancer therapy (3 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), RNA Research and Splicing (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neonatal Respiratory Health Research (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Cancer Research (244 citations), Oncology (374 citations), Genetics (97 citations), Biological Psychiatry (8 citations) and Molecular Biology (203 citations). Jonathan W. Lee has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Eileen M. O’Reilly, David P. Kelsen, Hedy L. Kindler, Maeve A. Lowery, Marinela Capanu, Alice P. Chen, Talia Golan, Zsofia K. Stadler, Kenneth H. Yu and Richard Kinh Gian. Their work appears in journals such as Journal of Clinical Oncology, RNA, European Journal of Cancer, International Journal of Molecular Sciences and The American Journal of Medicine.
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.