David M. Lee
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
Papers in
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- Cancer-related molecular mechanisms research 5
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- RNA regulation and disease 1
- Co-authors
- Dhavalkumar D. Patel (2 shared papers)Barton F. Haynes (1 shared paper)Wi S. Lai (1 shared paper)Gregory Alan Taylor (1 shared paper)Hal E. Broxmeyer (1 shared paper)Gary S. Gilkeson (1 shared paper)Daniel I. Schenkman (1 shared paper)Perry J. Blackshear (1 shared paper)
- Journals
- Clinical Immunology (1 paper)Nature Genetics (1 paper)Nucleic Acids Research (1 paper)Immunity (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
David M. Lee
9 papers receiving 1.2k citations
David M. Lee's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 471
- Molecular Biology 972
- Immunology 229
- Endocrinology 27
- Oncology 105
Countries citing papers authored by David M. Lee
This map shows the geographic impact of David M. 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 David M. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Lee more than expected).
Fields of papers citing papers by David M. Lee
This network shows the impact of papers produced by David M. 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 David M. Lee. The network helps show where David M. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. 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 | A Pathogenetic Role for TNFα in the Syndrome of Cachexia, Arthritis, and Autoimmunity Resulting from Tristetraprolin (TTP) Deficiency Hit paper breakdown → | 1996 | 693 |
| 2 | 2018 | 185 | |
| 3 | 2016 | 180 | |
| 4 | 2019 | 104 | |
| 5 | 2008 | 32 | |
| 6 | 2019 | 32 | |
| 7 | 2023 | 19 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 6 |
About David M. Lee
David M. Lee is a scholar working on Cancer Research, Molecular Biology, Genetics, Genetics and Insect Science, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Animal Genetics and Reproduction (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cancer Research (471 citations), Molecular Biology (972 citations), Immunology (229 citations), Endocrinology (27 citations) and Oncology (105 citations). David M. Lee has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Dhavalkumar D. Patel, Barton F. Haynes, Wi S. Lai, Gregory Alan Taylor, Hal E. Broxmeyer, Gary S. Gilkeson, Daniel I. Schenkman, Perry J. Blackshear, Ester Carballo and Michael James Thompson. Their work appears in journals such as Clinical Immunology, Nature Genetics, Nucleic Acids Research, Immunity and Nature Communications.
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.