Jonathan D. Lee
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Protein Degradation and Inhibitors 2
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 1
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Pier Paolo Pandolfi (3 shared papers)Yu-Ru Lee (2 shared papers)John G. Clohessy (2 shared papers)Emanuele Monteleone (1 shared paper)Daphna Nachmani (1 shared paper)Suhani Vora (1 shared paper)John L. Rinn (1 shared paper)Joshua Victor (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Journal of Visualized Experiments (2 papers)Nature Methods (1 paper)Blood (1 paper)
- Partner nations
- United StatesSingaporeTaiwan
In The Last Decade
Jonathan D. Lee
14 papers receiving 457 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 175
- Aging 17
- Molecular Biology 359
- Biological Psychiatry 9
- Neurology 23
Countries citing papers authored by Jonathan D. Lee
This map shows the geographic impact of Jonathan D. 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 D. 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 D. Lee more than expected).
Fields of papers citing papers by Jonathan D. Lee
This network shows the impact of papers produced by Jonathan D. 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 D. Lee. The network helps show where Jonathan D. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. 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 | 2018 | 237 | |
| 2 | 2016 | 83 | |
| 3 | 2022 | 51 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 3 | |
| 11 | 2025 | 2 | |
| 12 | NEW F-SATURATION GAMES ON DIRECTED GRAPHS | 2016 | 2 |
| 13 | 2007 | 2 | |
| 14 | 2024 | 1 |
About Jonathan D. Lee
Jonathan D. Lee is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Surgery and Genetics, having authored 14 papers that have together received 459 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (2 papers), Protein Degradation and Inhibitors (2 papers), RNA Research and Splicing (2 papers), Coronary Interventions and Diagnostics (2 papers), RNA modifications and cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cancer Research (175 citations), Aging (17 citations), Molecular Biology (359 citations), Biological Psychiatry (9 citations) and Neurology (23 citations). Jonathan D. Lee has collaborated with scholars based in United States, Singapore and Taiwan. Frequent co-authors include Pier Paolo Pandolfi, Yu-Ru Lee, John G. Clohessy, Emanuele Monteleone, Daphna Nachmani, Suhani Vora, John L. Rinn, Joshua Victor, Alejandro Chavez and George M. Church. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Visualized Experiments, Nature Methods and Blood.
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.