Igor Odintsov
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Lung Cancer Treatments and Mutations 22
- Sarcoma Diagnosis and Treatment 10
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Drew F. K. Williamson (1 shared paper)Guillaume Jaume (1 shared paper)Ming Y. Lu (1 shared paper)Georg Kurt Gerber (1 shared paper)Faisal Mahmood (1 shared paper)Bowen Chen (1 shared paper)Long P. Le (1 shared paper)Ivy Liang (1 shared paper)
- Journals
- The American Journal of Surgical Pathology (8 papers)Journal of Thoracic Oncology (6 papers)Clinical Cancer Research (4 papers)Modern Pathology (4 papers)Disease Models & Mechanisms (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Igor Odintsov
41 papers receiving 879 citations
Igor Odintsov's Hit Papers
Peers
Comparison fields: 5 of 55
- Health Informatics 75
- Artificial Intelligence 319
- Pulmonary and Respiratory Medicine 267
- Oncology 95
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Igor Odintsov
This map shows the geographic impact of Igor Odintsov'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 Odintsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Odintsov more than expected).
Fields of papers citing papers by Igor Odintsov
This network shows the impact of papers produced by Igor Odintsov. 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 Odintsov. The network helps show where Igor Odintsov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Odintsov, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 466 |
| 2 | 2019 | 49 | |
| 3 | 2020 | 47 | |
| 4 | 2021 | 41 | |
| 5 | 2023 | 29 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2025 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Igor Odintsov
Igor Odintsov is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Pathology and Forensic Medicine, Rheumatology and Oncology, having authored 46 papers that have together received 900 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (22 papers), Sarcoma Diagnosis and Treatment (10 papers), Cancer Genomics and Diagnostics (8 papers), Cancer Mechanisms and Therapy (4 papers), HER2/EGFR in Cancer Research (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Oral and Maxillofacial Pathology (2 papers) and Tuberous Sclerosis Complex Research (2 papers). The work is most often cited by research in Health Informatics (75 citations), Artificial Intelligence (319 citations), Pulmonary and Respiratory Medicine (267 citations), Oncology (95 citations) and Computer Vision and Pattern Recognition (69 citations). Igor Odintsov has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Drew F. K. Williamson, Guillaume Jaume, Ming Y. Lu, Georg Kurt Gerber, Faisal Mahmood, Bowen Chen, Long P. Le, Ivy Liang, Anil Vasdev Parwani and Andrew Zhang. Their work appears in journals such as The American Journal of Surgical Pathology, Journal of Thoracic Oncology, Clinical Cancer Research, Modern Pathology and Disease Models & Mechanisms.
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.