Sam W. Lee
Impact in
- Oncology top 1%
- Cancer-related Molecular Pathways
- Cancer Research top 1%
Papers in
-
- Cell death mechanisms and regulation 13
- DNA Repair Mechanisms 10
- Ubiquitin and proteasome pathways 7
- Epigenetics and DNA Methylation 6
- Oncology 47
- Cancer-related Molecular Pathways 37
- Co-authors
- Stuart A. Aaronson (31 shared papers)Anna Mandinova (19 shared papers)Salvador Macip (7 shared papers)Fang Li (7 shared papers)Makoto Igarashi (5 shared papers)Pat P. Ongusaha (12 shared papers)Toru Ouchi (8 shared papers)Akihide Ryo (6 shared papers)
- Journals
- Journal of Biological Chemistry (15 papers)Cancer Research (7 papers)Oncogene (7 papers)Molecular and Cellular Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sam W. Lee
93 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 126
- Oncology 2.2k
- Cancer Research 1.0k
- Molecular Biology 4.9k
- Aging 111
- Immunology 1.2k
Countries citing papers authored by Sam W. Lee
This map shows the geographic impact of Sam 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 Sam 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 Sam W. Lee more than expected).
Fields of papers citing papers by Sam W. Lee
This network shows the impact of papers produced by Sam 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 Sam W. Lee. The network helps show where Sam W. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 374 | |
| 2 | 2002 | 305 | |
| 3 | 2003 | 280 | |
| 4 | 2016 | 261 | |
| 5 | 1997 | 252 | |
| 6 | 2009 | 243 | |
| 7 | 2002 | 222 | |
| 8 | 2004 | 207 | |
| 9 | 2002 | 197 | |
| 10 | 2008 | 194 | |
| 11 | 2008 | 193 | |
| 12 | 1996 | 183 | |
| 13 | 2004 | 182 | |
| 14 | 2015 | 177 | |
| 15 | 2000 | 174 | |
| 16 | 1999 | 168 | |
| 17 | 1998 | 151 | |
| 18 | 2010 | 146 | |
| 19 | 2005 | 142 | |
| 20 | 2013 | 134 |
About Sam W. Lee
Sam W. Lee is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Cancer Research, having authored 93 papers that have together received 7.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (37 papers), Cell death mechanisms and regulation (13 papers), DNA Repair Mechanisms (10 papers), Cancer Research and Treatments (8 papers), Ubiquitin and proteasome pathways (7 papers), interferon and immune responses (6 papers), Epigenetics and DNA Methylation (6 papers) and Telomeres, Telomerase, and Senescence (6 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (1.0k citations), Molecular Biology (4.9k citations), Aging (111 citations) and Immunology (1.2k citations). Sam W. Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Stuart A. Aaronson, Anna Mandinova, Salvador Macip, Fang Li, Makoto Igarashi, Pat P. Ongusaha, Toru Ouchi, Akihide Ryo, Kun Ping Lu and Corinne Reimer. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Oncogene, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.
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.