Peter Sabbatini

3.8k citations
29 papers · 3.1k indexed · 1 hit paper · h-index 20

Impact in

Papers in

    • Cancer-related Molecular Pathways 10
    • Chemokine receptors and signaling 4
    • Virus-based gene therapy research 7
    • Chronic Lymphocytic Leukemia Research 5

Peter Sabbatini

28 papers receiving 3.0k citations

Hit Papers

The adenovirus E1A proteins induce apoptosis, which is inhibited by the E1B 19-kDa and Bcl-2 proteins. 1992 · 567 citations
5671992202620032014100200300400500

Peers

Peter Sabbatini
Comparison fields: 5 of 94
  • Oncology 1.4k
  • Biotechnology 383
  • Genetics 936
  • Molecular Biology 2.0k
  • Immunology 575
Replace Sibylle Mittnacht with:
Sibylle Mittnacht United Kingdom
Edmund C. Lattime United States
Hsing‐Jien Kung United States
Hidekazu Nakabayashi Japan
Betty L. Slagle United States
Lea Eisenbach Israel
Pradip Raychaudhuri United States
Luigi Aurisicchio Italy
Jonathan Pol France
Tsuneya Ohno Japan
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Citations per field
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Sibylle Mittnacht · 1×
Citations per year

Countries citing papers authored by Peter Sabbatini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Sabbatini Line = papers co-authored together Peter Sabbatini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 201979
3 20183
4 20139
5 20136
6 200986
7 200962
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
20092
9 200827
10 200615
11 200242
12 1999121
13 1997244
14 1996165
15 199581
16 1995163
17 199412
18 1992171
19 1992315
20 1991216

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.

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