Javier F. Torres–Roca
- Radiation top 1%
- Advanced Radiotherapy Techniques 16
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 9
- Otorhinolaryngology top 2%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 9
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- Radiomics and Machine Learning in Medical Imaging 23
- Effects of Radiation Exposure 9
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- Prostate Cancer Diagnosis and Treatment 10
- Lung Cancer Diagnosis and Treatment 9
- Lung Cancer Treatments and Mutations 9
- Co-authors
- Steven A. EschrichJimmy J. CaudellKamran A. AhmedWilliam J. FulpGregory BloomJi‐Hyun LeeLouis B. HarrisonDavid Boulware
- Journals
- The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Javier F. Torres–Roca
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Radiation 482
- Cancer Research 696
- Otorhinolaryngology 153
- Oncology 938
- Radiology, Nuclear Medicine and Imaging 722
Countries citing papers authored by Javier F. Torres–Roca
This map shows the geographic impact of Javier F. Torres–Roca'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 Javier F. Torres–Roca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier F. Torres–Roca more than expected).
Fields of papers citing papers by Javier F. Torres–Roca
This network shows the impact of papers produced by Javier F. Torres–Roca. 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 Javier F. Torres–Roca. The network helps show where Javier F. Torres–Roca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier F. Torres–Roca, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 39 | |
| 10 | 2018 | 52 | |
| 11 | 2017 | 24 | |
| 12 | 2017 | 40 | |
| 13 | 2017 | 156 | |
| 14 | 2015 | 98 | |
| 15 | 2015 | 71 | |
| 16 | 2012 | 145 | |
| 17 | A robust multigene expression assay to predict clinical response to chemoradiotherapy | 2008 | 1 |
| 18 | 2006 | 28 | |
| 19 | 2000 | 28 | |
| 20 | 1997 | 25 |
About Javier F. Torres–Roca
Javier F. Torres–Roca is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Advanced Radiotherapy Techniques (16 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Cancer Genomics and Diagnostics (9 papers), Effects of Radiation Exposure (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Radiation (482 citations), Cancer Research (696 citations) and Otorhinolaryngology (153 citations). Javier F. Torres–Roca has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Steven A. Eschrich, Jimmy J. Caudell, Kamran A. Ahmed, William J. Fulp, Gregory Bloom, Ji‐Hyun Lee, Louis B. Harrison, David Boulware, Haiyan Zhao and A.O. Naghavi. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.