Igor Feldman
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- DNA Repair Mechanisms
- Chromatin Remodeling and Cancer
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
Papers in
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- Epigenetics and DNA Methylation 5
- Protein Degradation and Inhibitors 3
- PI3K/AKT/mTOR signaling in cancer 3
- DNA Repair Mechanisms 2
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- Immune cells in cancer 8
- Phagocytosis and Immune Regulation 4
- Co-authors
- Andrey Rzhetsky (1 shared paper)Dennis Vitkup (1 shared paper)Brian S. Roberts (5 shared papers)Stuart D. Shumway (4 shared papers)Yair Benita (3 shared papers)Yaping Liu (4 shared papers)Theresa Zhang (5 shared papers)William T. Arthur (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (5 papers)Cancer Research (5 papers)Journal of Clinical Oncology (2 papers)Science Translational Medicine (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Igor Feldman
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 248
- Molecular Biology 856
- Oncology 234
- Cancer Research 96
- Pathology and Forensic Medicine 101
Countries citing papers authored by Igor Feldman
This map shows the geographic impact of Igor Feldman'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 Igor Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Feldman more than expected).
Fields of papers citing papers by Igor Feldman
This network shows the impact of papers produced by Igor Feldman. 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 Igor Feldman. The network helps show where Igor Feldman may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Feldman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 243 | |
| 2 | 2008 | 230 | |
| 3 | 2013 | 145 | |
| 4 | 2010 | 139 | |
| 5 | 2017 | 130 | |
| 6 | 2010 | 111 | |
| 7 | 2012 | 67 | |
| 8 | 2017 | 55 | |
| 9 | 2003 | 51 | |
| 10 | 2023 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2002 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 2 |
About Igor Feldman
Igor Feldman is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Epigenetics and DNA Methylation (5 papers), Phagocytosis and Immune Regulation (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (248 citations), Molecular Biology (856 citations), Oncology (234 citations), Cancer Research (96 citations) and Pathology and Forensic Medicine (101 citations). Igor Feldman has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Andrey Rzhetsky, Dennis Vitkup, Brian S. Roberts, Stuart D. Shumway, Yair Benita, Yaping Liu, Theresa Zhang, William T. Arthur, Brian B. Haines and Andrey Loboda. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, Journal of Clinical Oncology, Science Translational Medicine and Clinical Cancer Research.
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.