Jonathan W. Lee
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- PARP inhibition in cancer therapy
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- RNA Research and Splicing 2
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- Neonatal and fetal brain pathology 3
- Co-authors
- Kenneth H. Yu (3 shared papers)Maeve A. Lowery (3 shared papers)David P. Kelsen (3 shared papers)Richard Kinh Gian (3 shared papers)Zsofia K. Stadler (3 shared papers)Talia Golan (3 shared papers)Alice P. Chen (3 shared papers)Marinela Capanu (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Developmental Neuroscience (1 paper)Clinical Genitourinary Cancer (1 paper)RNA (1 paper)Journal of Nursing Education (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Jonathan W. Lee
16 papers receiving 702 citations
Peers
Comparison fields: 5 of 97
- Oncology 354
- Cancer Research 193
- Biological Psychiatry 7
- Genetics 82
- Molecular Biology 184
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 271 | |
| 2 | 2017 | 124 | |
| 3 | 1990 | 63 | |
| 4 | 2015 | 44 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 29 | |
| 7 | 2014 | 25 | |
| 8 | 2017 | 24 | |
| 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 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 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 Surgery, having authored 21 papers that have together received 708 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Neonatal Respiratory Health Research (2 papers), Stress Responses and Cortisol (2 papers), Healthcare cost, quality, practices (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Oncology (354 citations), Cancer Research (193 citations), Biological Psychiatry (7 citations), Genetics (82 citations) and Molecular Biology (184 citations). Jonathan W. Lee has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Kenneth H. Yu, Maeve A. Lowery, David P. Kelsen, Richard Kinh Gian, Zsofia K. Stadler, Talia Golan, Alice P. Chen, Marinela Capanu, Hedy L. Kindler and Eileen M. O’Reilly. Their work appears in journals such as Journal of Clinical Oncology, Developmental Neuroscience, Clinical Genitourinary Cancer, RNA and Journal of Nursing Education.
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.