Gabriel Tinoco
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Vascular Tumors and Angiosarcomas
Papers in
- Oncology 31
- Cancer Immunotherapy and Biomarkers 9
- Vascular Tumors and Angiosarcomas 7
- CAR-T cell therapy research 6
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- Sarcoma Diagnosis and Treatment 23
- Co-authors
- Alberto J. Montero (1 shared paper)Stefan Glück (1 shared paper)Andrew E. Rosenberg (2 shared papers)Breelyn A. Wilky (3 shared papers)Jonathan C. Trent (6 shared papers)Ana C. Paz (1 shared paper)Luyuan Li (1 shared paper)Britt Johnson (1 shared paper)
- Journals
- Journal of Clinical Oncology (15 papers)Cancers (3 papers)BMC Cancer (3 papers)Targeted Oncology (2 papers)Blood (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Gabriel Tinoco
42 papers receiving 569 citations
Peers
Comparison fields: 5 of 88
- Internal Medicine 64
- Oncology 232
- Cancer Research 97
- Pulmonary and Respiratory Medicine 184
- Rheumatology 63
Countries citing papers authored by Gabriel Tinoco
This map shows the geographic impact of Gabriel Tinoco'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 Gabriel Tinoco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Tinoco more than expected).
Fields of papers citing papers by Gabriel Tinoco
This network shows the impact of papers produced by Gabriel Tinoco. 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 Gabriel Tinoco. The network helps show where Gabriel Tinoco may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Tinoco, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2015 | 87 | |
| 3 | 2013 | 82 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2011 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 4 |
About Gabriel Tinoco
Gabriel Tinoco is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Rheumatology, Immunology and Molecular Biology, having authored 52 papers that have together received 576 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (23 papers), Cancer Immunotherapy and Biomarkers (9 papers), Vascular Tumors and Angiosarcomas (7 papers), CAR-T cell therapy research (6 papers), Cardiac tumors and thrombi (5 papers), Bone Tumor Diagnosis and Treatments (5 papers), Musculoskeletal synovial abnormalities and treatments (4 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). The work is most often cited by research in Internal Medicine (64 citations), Oncology (232 citations), Cancer Research (97 citations), Pulmonary and Respiratory Medicine (184 citations) and Rheumatology (63 citations). Gabriel Tinoco has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Alberto J. Montero, Stefan Glück, Andrew E. Rosenberg, Breelyn A. Wilky, Jonathan C. Trent, Ana C. Paz, Luyuan Li, Britt Johnson, Karina Galoian and Michael B. Streiff. Their work appears in journals such as Journal of Clinical Oncology, Cancers, BMC Cancer, Targeted Oncology and Blood.
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.