David S. Levin
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cancer therapeutics and mechanisms
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- DNA Repair Mechanisms 9
- DNA and Nucleic Acid Chemistry 7
- Genomics and Chromatin Dynamics 4
- Cancer therapeutics and mechanisms 2
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
-
- Toxin Mechanisms and Immunotoxins 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Co-authors
- Alan E. Tomkinson (10 shared papers)Yoshihiro Matsumoto (3 shared papers)Min S. Park (2 shared papers)Ronald K. Gary (2 shared papers)Nina Y. Yao (1 shared paper)Wei Bai (1 shared paper)Jerard Hurwitz (4 shared papers)Zachary B. Mackey (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular and Cellular Biology (2 papers)Current Biology (1 paper)BioEssays (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
David S. Levin
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 1.1k
- Cancer Research 183
- Oncology 288
- Cell Biology 65
- Genetics 99
Countries citing papers authored by David S. Levin
This map shows the geographic impact of David S. Levin'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 S. Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Levin more than expected).
Fields of papers citing papers by David S. Levin
This network shows the impact of papers produced by David S. Levin. 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 S. Levin. The network helps show where David S. Levin may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Levin, 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 | 1997 | 196 | |
| 2 | 2000 | 183 | |
| 3 | 1998 | 174 | |
| 4 | 1999 | 154 | |
| 5 | 1997 | 101 | |
| 6 | 1997 | 95 | |
| 7 | 2004 | 89 | |
| 8 | 2001 | 82 | |
| 9 | 2004 | 44 | |
| 10 | 2009 | 27 | |
| 11 | 2007 | 20 | |
| 12 | 2012 | 7 |
About David S. Levin
David S. Levin is a scholar working on Molecular Biology, Immunology, Computer Networks and Communications, Oncology and Nutrition and Dietetics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Genomics and Chromatin Dynamics (4 papers), Cancer therapeutics and mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Epigenetics and DNA Methylation (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (183 citations), Oncology (288 citations), Cell Biology (65 citations) and Genetics (99 citations). David S. Levin has collaborated with scholars based in United States and Italy. Frequent co-authors include Alan E. Tomkinson, Yoshihiro Matsumoto, Min S. Park, Ronald K. Gary, Nina Y. Yao, Wei Bai, Jerard Hurwitz, Zachary B. Mackey, Kyung Mo Kim and Christi A. Walter. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Current Biology, BioEssays 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.