Peter Sabbatini
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
- Biotechnology top 1%
- Cancer Research and Treatments
Papers in
-
- RNA Interference and Gene Delivery 4
- Ubiquitin and proteasome pathways 3
- Oncology 13
- Cancer-related Molecular Pathways 10
- Co-authors
- Eileen White (12 shared papers)Lakshmi Rao (4 shared papers)Jeonghoon Han (3 shared papers)David M. Hockenbery (1 shared paper)S J Korsmeyer (1 shared paper)William S.M. Wold (2 shared papers)L R Gooding (2 shared papers)Frank McCormick (2 shared papers)
- Journals
- Blood (6 papers)Molecular and Cellular Biology (4 papers)Clinical Cancer Research (2 papers)Genes & Development (2 papers)Journal of Virology (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Peter Sabbatini
28 papers receiving 3.0k citations
Peter Sabbatini's Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 1.4k
- Biotechnology 369
- Genetics 930
- Molecular Biology 2.0k
- Immunology 555
Countries citing papers authored by Peter Sabbatini
This map shows the geographic impact of Peter Sabbatini'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 Peter Sabbatini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sabbatini more than expected).
Fields of papers citing papers by Peter Sabbatini
This network shows the impact of papers produced by Peter Sabbatini. 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 Peter Sabbatini. The network helps show where Peter Sabbatini may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sabbatini, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The adenovirus E1A proteins induce apoptosis, which is inhibited by the E1B 19-kDa and Bcl-2 proteins. Hit paper breakdown → | 1992 | 566 |
| 2 | 1992 | 315 | |
| 3 | 1996 | 295 | |
| 4 | 1997 | 243 | |
| 5 | 1991 | 216 | |
| 6 | 1995 | 198 | |
| 7 | 1992 | 171 | |
| 8 | 1996 | 165 | |
| 9 | 1995 | 163 | |
| 10 | 1999 | 121 | |
| 11 | 2009 | 86 | |
| 12 | 1995 | 81 | |
| 13 | 2019 | 81 | |
| 14 | 2015 | 69 | |
| 15 | 2009 | 62 | |
| 16 | Interleukin 1 beta converting enzyme-like proteases are essential for p53-mediated transcriptionally dependent apoptosis. | 1997 | 57 |
| 17 | 2014 | 55 | |
| 18 | 2002 | 41 | |
| 19 | 2018 | 30 | |
| 20 | 2008 | 27 |
About Peter Sabbatini
Peter Sabbatini is a scholar working on Molecular Biology, Oncology, Genetics, Genetics and Hematology, having authored 29 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Virus-based gene therapy research (7 papers), Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), RNA Interference and Gene Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Oncology (1.4k citations), Biotechnology (369 citations), Genetics (930 citations), Molecular Biology (2.0k citations) and Immunology (555 citations). Peter Sabbatini has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Eileen White, Lakshmi Rao, Jeonghoon Han, David M. Hockenbery, S J Korsmeyer, William S.M. Wold, L R Gooding, Frank McCormick, George C. Prendergast and Daitoku Sakamuro. Their work appears in journals such as Blood, Molecular and Cellular Biology, Clinical Cancer Research, Genes & Development and Journal of Virology.
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.