Igor Vidal
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
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- Prostate Cancer Diagnosis and Treatment
- Renal cell carcinoma treatment
- Prostate Cancer Treatment and Research
Papers in
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- Prostate Cancer Treatment and Research 3
- Prostate Cancer Diagnosis and Treatment 3
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- Immune cells in cancer 2
- Co-authors
- Tamara Levin Lotan (4 shared papers)Angelo Michael De Marzo (8 shared papers)Kenneth J. Pienta (3 shared papers)Jessica L Hicks (4 shared papers)Daniela Correia Salles (1 shared paper)George Jabboure Netto (1 shared paper)Kaushal V. Asrani (1 shared paper)Hans B. Liu (1 shared paper)
- Journals
- The Journal of Pathology (2 papers)The Journal of Urology (2 papers)The Prostate (2 papers)European Urology Oncology (2 papers)Modern Pathology (1 paper)
- Partner nations
- United StatesTürkiyeColombia
In The Last Decade
Igor Vidal
13 papers receiving 355 citations
Peers
Comparison fields: 5 of 29
- Physiology 26
- Pulmonary and Respiratory Medicine 194
- Radiology, Nuclear Medicine and Imaging 74
- Immunology 35
- Oncology 25
Countries citing papers authored by Igor Vidal
This map shows the geographic impact of Igor Vidal'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 Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Vidal more than expected).
Fields of papers citing papers by Igor Vidal
This network shows the impact of papers produced by Igor Vidal. 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 Vidal. The network helps show where Igor Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Vidal, 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 | 2022 | 90 | |
| 2 | 2017 | 84 | |
| 3 | 2018 | 64 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 2 |
About Igor Vidal
Igor Vidal is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Artificial Intelligence, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Prostate Cancer Treatment and Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Immune cells in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Image Segmentation Techniques (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Physiology (26 citations), Pulmonary and Respiratory Medicine (194 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Immunology (35 citations) and Oncology (25 citations). Igor Vidal has collaborated with scholars based in United States, Türkiye and Colombia. Frequent co-authors include Tamara Levin Lotan, Angelo Michael De Marzo, Kenneth J. Pienta, Jessica L Hicks, Daniela Correia Salles, George Jabboure Netto, Kaushal V. Asrani, Hans B. Liu, Pedram Argani and Andrés Matoso. Their work appears in journals such as The Journal of Pathology, The Journal of Urology, The Prostate, European Urology Oncology and Modern Pathology.
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.