Jeffrey A. Toretsky

10.4k citations
121 papers · 7.2k · h-index 46

Impact in

    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
  • Oncology top 1%
    • Cancer-related Molecular Pathways

Papers in

    • RNA Research and Splicing 16
    • Protein Degradation and Inhibitors 16
    • RNA modifications and cancer 14
    • Ubiquitin and proteasome pathways 9
    • Signaling Pathways in Disease 9
    • Sarcoma Diagnosis and Treatment 35

Jeffrey A. Toretsky

119 papers receiving 7.1k citations

Peers

Jeffrey A. Toretsky
Comparison fields: 5 of 126
  • Molecular Biology 4.6k
  • Oncology 1.5k
  • Cancer Research 781
  • Pulmonary and Respiratory Medicine 1.7k
  • Cell Biology 707
Replace Victor M. Rivera with:
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Citations per field
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Citations per year

Countries citing papers authored by Jeffrey A. Toretsky

Since Specialization
Citations

This map shows the geographic impact of Jeffrey A. Toretsky'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 Jeffrey A. Toretsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey A. Toretsky more than expected).

Fields of papers citing papers by Jeffrey A. Toretsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Toretsky. 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 Jeffrey A. Toretsky. The network helps show where Jeffrey A. Toretsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeffrey A. Toretsky, 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 Jeffrey A. Toretsky Line = papers co-authored together Jeffrey A. Toretsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009362
2 2007346
3 2011326
4 2004319
5 2014302
6 2010285
7 1996277
8 2018215
9 2014214
10 1997205
11
Geldanamycin selectively destabilizes and conformationally alters mutated p53.
1995165
12 2011143
13 2009139
14 2021137
15 2005136
16 1996136
17 2010130
18 2010127
19 2005122
20 2015108

About Jeffrey A. Toretsky

Jeffrey A. Toretsky is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Neurology and Hematology, having authored 121 papers that have together received 7.2k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (35 papers), RNA Research and Splicing (16 papers), Protein Degradation and Inhibitors (16 papers), RNA modifications and cancer (14 papers), Neuroblastoma Research and Treatments (13 papers), Peptidase Inhibition and Analysis (13 papers), Ubiquitin and proteasome pathways (9 papers) and Signaling Pathways in Disease (9 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Oncology (1.5k citations), Cancer Research (781 citations), Pulmonary and Respiratory Medicine (1.7k citations) and Cell Biology (707 citations). Jeffrey A. Toretsky has collaborated with scholars based in United States, Türkiye and Austria. Frequent co-authors include Aykut Üren, Len Neckers, Lee J. Helman, Mikhail V. Blagosklonny, Hayriye V. Erkizan, Peter E. Wright, Ogan D. Abaan, Elspeth M. Beauchamp, Milton L. Brown and Sean P. Bohen. Their work appears in journals such as Cancer Research, Oncogene, PLoS ONE, Oncotarget and Journal of Biological Chemistry.

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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