Michael A. Tainsky
Impact in
- Oncology top 0.2%
- Cancer-related Molecular Pathways
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 52
- Cancer-related Molecular Pathways 35
-
- Genomics and Chromatin Dynamics 13
- DNA Repair Mechanisms 12
- Advanced Biosensing Techniques and Applications 12
- Co-authors
- Louise C. StrongFarideh Z. BischoffNoël BouckOlga V. VolpertStephen FriendDavid MalkinJoseph F. FraumeniJ Kassel
- Journals
- Molecular and Cellular Biology (10 papers)Cancer Biomarkers (7 papers)Cancer Research (6 papers)Oncogene (5 papers)Science (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Michael A. Tainsky
155 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 5.2k
- Cancer Research 2.5k
- Biotechnology 1.0k
- Molecular Biology 7.8k
- Geriatrics and Gerontology 412
Countries citing papers authored by Michael A. Tainsky
This map shows the geographic impact of Michael A. Tainsky'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 Michael A. Tainsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Tainsky more than expected).
Fields of papers citing papers by Michael A. Tainsky
This network shows the impact of papers produced by Michael A. Tainsky. 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 Michael A. Tainsky. The network helps show where Michael A. Tainsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael A. Tainsky, 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 | 2024 | 0 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 10 | |
| 6 | 2013 | 11 | |
| 7 | 2011 | 2 | |
| 8 | 2011 | 32 | |
| 9 | 2011 | 56 | |
| 10 | 2008 | 49 | |
| 11 | 2008 | 53 | |
| 12 | 2008 | 11 | |
| 13 | 2006 | 165 | |
| 14 | 2006 | 5 | |
| 15 | 2005 | 50 | |
| 16 | 2003 | 408 | |
| 17 | 2003 | 117 | |
| 18 | 2000 | 57 | |
| 19 | 1998 | 7 | |
| 20 | 1995 | 23 |
About Michael A. Tainsky
Michael A. Tainsky is a scholar working on Oncology, Molecular Biology, Genetics, Biotechnology and Immunology, having authored 156 papers that have together received 12.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (35 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Virus-based gene therapy research (15 papers), BRCA gene mutations in cancer (13 papers), Genomics and Chromatin Dynamics (13 papers), DNA Repair Mechanisms (12 papers), Immunotherapy and Immune Responses (12 papers) and Advanced Biosensing Techniques and Applications (12 papers). The work is most often cited by research in Oncology (5.2k citations), Cancer Research (2.5k citations), Biotechnology (1.0k citations), Molecular Biology (7.8k citations) and Geriatrics and Gerontology (412 citations). Michael A. Tainsky has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Louise C. Strong, Farideh Z. Bischoff, Noël Bouck, Olga V. Volpert, Stephen Friend, David Malkin, Joseph F. Fraumeni, J Kassel, Frederick P. Li and David H. Kim. Their work appears in journals such as Molecular and Cellular Biology, Cancer Biomarkers, Cancer Research, Oncogene and Science.
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.