Javier F. Torres–Roca
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 2%
- Molecular Biology
- Co-authors
- Steven A. EschrichJimmy J. CaudellKamran A. AhmedWilliam J. FulpGregory BloomJi‐Hyun LeeLouis B. HarrisonDavid Boulware
- Topics
- Radiomics and Machine Learning in Medical Imaging (23 papers)Advanced Radiotherapy Techniques (16 papers)Prostate Cancer Diagnosis and Treatment (10 papers)
- Journals
- The Journal of Experimental MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Javier F. Torres–Roca
80 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Pulmonary and Respiratory Medicine 963
- Oncology 938
- Radiology, Nuclear Medicine and Imaging 722
- Cancer Research 696
- Molecular Biology 613
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 of co-authors of Javier F. Torres–Roca
This figure shows the co-authorship network connecting the top 25 collaborators of Javier F. Torres–Roca. A scholar is included among the top collaborators of Javier F. Torres–Roca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier F. Torres–Roca. Javier F. Torres–Roca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 39 | |
| 10 | 52 | |
| 11 | 24 | |
| 12 | 40 | |
| 13 | 156 | |
| 14 | 98 | |
| 15 | 71 | |
| 16 | 145 | |
| 17 | A robust multigene expression assay to predict clinical response to chemoradiotherapy | 1 |
| 18 | 28 | |
| 19 | 28 | |
| 20 | 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) and Prostate Cancer Diagnosis and Treatment (10 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.