Igor Feldman
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Immunology top 5%
- Immunotherapy and Immune Responses
Papers in
-
- Immune cells in cancer 4
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Cutaneous Melanoma Detection and Management 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Dennis Vitkup (1 shared paper)Andrey Rzhetsky (1 shared paper)Brian S. Roberts (4 shared papers)Yair Benita (3 shared papers)Stuart D. Shumway (3 shared papers)William T. Arthur (3 shared papers)Theresa Zhang (3 shared papers)Andrey P. Loboda (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (4 papers)Science Translational Medicine (1 paper)The Lancet (1 paper)Cancers (1 paper)Cancer Cell International (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Igor Feldman
15 papers receiving 1.9k citations
Igor Feldman's Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 496
- Immunology 364
- Computational Theory and Mathematics 252
- Molecular Biology 739
- Cancer Research 95
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
| # | Work | ||
|---|---|---|---|
| 1 | Individualised neoantigen therapy mRNA-4157 (V940) plus pembrolizumab versus pembrolizumab monotherapy in resected melanoma (KEYNOTE-942): a randomised, phase 2b study Hit paper breakdown → | 2024 | 593 |
| 2 | 2016 | 264 | |
| 3 | 2008 | 227 | |
| 4 | 2013 | 155 | |
| 5 | 2017 | 149 | |
| 6 | 2010 | 141 | |
| 7 | 2010 | 127 | |
| 8 | 2024 | 78 | |
| 9 | 2012 | 69 | |
| 10 | 2017 | 61 | |
| 11 | 2003 | 51 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 6 | |
| 15 | 2026 | 3 | |
| 16 | 2024 | 0 |
About Igor Feldman
Igor Feldman is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cutaneous Melanoma Detection and Management (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Oncology (496 citations), Immunology (364 citations), Computational Theory and Mathematics (252 citations), Molecular Biology (739 citations) and Cancer Research (95 citations). Igor Feldman has collaborated with scholars based in United States and Australia. Frequent co-authors include Dennis Vitkup, Andrey Rzhetsky, Brian S. Roberts, Yair Benita, Stuart D. Shumway, William T. Arthur, Theresa Zhang, Andrey P. Loboda, Mélissa Chénard and Brian B. Haines. Their work appears in journals such as Molecular Cancer Therapeutics, Science Translational Medicine, The Lancet, Cancers and Cancer Cell International.
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.