Iván Pedrosa
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- MRI in cancer diagnosis 78
- Radiomics and Machine Learning in Medical Imaging 30
- Advanced MRI Techniques and Applications 28
- Radiation Dose and Imaging 16
- Pulmonary and Respiratory Medicine top 0.5%
- Renal cell carcinoma treatment 82
- Prostate Cancer Diagnosis and Treatment 19
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 12
- Hepatology top 2%
- Oncology top 2%
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- Renal and related cancers 41
Iván Pedrosa
205 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Radiology, Nuclear Medicine and Imaging 2.9k
- Pulmonary and Respiratory Medicine 3.7k
- Cancer Research 682
- Hepatology 353
- Oncology 1.2k
Countries citing papers authored by Iván Pedrosa
This map shows the geographic impact of Iván Pedrosa'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 Iván Pedrosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Pedrosa more than expected).
Fields of papers citing papers by Iván Pedrosa
This network shows the impact of papers produced by Iván Pedrosa. 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 Iván Pedrosa. The network helps show where Iván Pedrosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iván Pedrosa, 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 | 2024 | 0 | |
| 2 | 2023 | 27 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 43 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 27 | |
| 12 | Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessmentbreakdown → | 2019 | 290 |
| 13 | 2018 | 36 | |
| 14 | 2017 | 110 | |
| 15 | 2017 | 6 | |
| 16 | 2017 | 12 | |
| 17 | 2012 | 13 | |
| 18 | Metastatic workup of a morbidly obese patient with colorectal cancer | 2012 | 1 |
| 19 | 2010 | 30 | |
| 20 | 1998 | 10 |
About Iván Pedrosa
Iván Pedrosa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Rheumatology and Emergency Medicine, having authored 207 papers that have together received 7.0k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (82 papers), MRI in cancer diagnosis (78 papers), Renal and related cancers (41 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Advanced MRI Techniques and Applications (28 papers), Prostate Cancer Diagnosis and Treatment (19 papers), Radiation Dose and Imaging (16 papers) and Cancer Genomics and Diagnostics (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Pulmonary and Respiratory Medicine (3.7k citations), Cancer Research (682 citations), Hepatology (353 citations) and Oncology (1.2k citations). Iván Pedrosa has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Neil M. Rofsky, Karen Lee, Elizabeth M. Genega, Aarti Sekhar, Payal Kapur, Alberto Diaz de Leon, Maryellen Sun, Jeffrey A. Cadeddu, Long Ngo and David C. Alsop. Their work appears in journals such as Radiology, American Journal of Roentgenology, Abdominal Radiology, Journal of Magnetic Resonance Imaging and Magnetic Resonance in Medicine.
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.