Peter Sabbatini
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Biotechnology top 1%
- Cancer Research and Treatments
Papers in
- Co-authors
- Eileen WhiteLakshmi RaoJeonghoon HanDavid M. HockenberyS J KorsmeyerFrank McCormickWilliam S.M. WoldL R Gooding
- Journals
- Blood (6 papers)Molecular and Cellular Biology (4 papers)Clinical Cancer Research (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Genes & Development (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Peter Sabbatini
28 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 1.4k
- Biotechnology 383
- Genetics 936
- Molecular Biology 2.0k
- Immunology 575
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2019 | 79 | |
| 3 | 2018 | 3 | |
| 4 | 2013 | 9 | |
| 5 | 2013 | 6 | |
| 6 | 2009 | 86 | |
| 7 | 2009 | 62 | |
| 8 | Abstract #1740: Characterization of GSK1838705A, a small molecule inhibitor of the insulin-like growth factor-1 receptor and anaplastic lymphoma kinase that delays growth of IGF-1R-dependent tumors and causes regression of ALK-dependent tumors in vivo | 2009 | 2 |
| 9 | 2008 | 27 | |
| 10 | 2006 | 15 | |
| 11 | 2002 | 42 | |
| 12 | 1999 | 121 | |
| 13 | 1997 | 244 | |
| 14 | 1996 | 165 | |
| 15 | 1995 | 81 | |
| 16 | 1995 | 163 | |
| 17 | 1994 | 12 | |
| 18 | 1992 | 171 | |
| 19 | 1992 | 315 | |
| 20 | 1991 | 216 |
About Peter Sabbatini
Peter Sabbatini is a scholar working on Oncology, Genetics, Hematology, Biotechnology and Molecular Biology, 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), Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Chemokine receptors and signaling (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Oncology (1.4k citations), Biotechnology (383 citations), Genetics (936 citations), Molecular Biology (2.0k citations) and Immunology (575 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, Frank McCormick, William S.M. Wold, L R Gooding, George C. Prendergast and Daitoku Sakamuro. Their work appears in journals such as Blood, Molecular and Cellular Biology, Clinical Cancer Research, Bioorganic & Medicinal Chemistry Letters and Genes & Development.
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.