D. Viñal
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 14
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 2
-
- Sarcoma Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Jaime Feliú (17 shared papers)Enrique Espinosa (7 shared papers)Oliver Higuera (5 shared papers)Nuria Rodrı́guez-Salas (9 shared papers)Álvaro Pinto (3 shared papers)Eduardo Castañón (1 shared paper)Ignacio Gil‐Bazo (1 shared paper)José I. Echeveste (1 shared paper)
- Journals
- Clinical & Translational Oncology (11 papers)Journal of Clinical Oncology (3 papers)Cancers (3 papers)ESMO Open (2 papers)Biomedicines (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
D. Viñal
33 papers receiving 303 citations
Peers
Comparison fields: 5 of 54
- Oncology 136
- Internal Medicine 15
- Cancer Research 28
- Immunology 40
- Pulmonary and Respiratory Medicine 54
Countries citing papers authored by D. Viñal
This map shows the geographic impact of D. Viñal'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 D. Viñal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Viñal more than expected).
Fields of papers citing papers by D. Viñal
This network shows the impact of papers produced by D. Viñal. 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 D. Viñal. The network helps show where D. Viñal may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Viñal, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 32 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 29 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2023 | 3 |
About D. Viñal
D. Viñal is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Molecular Biology and Surgery, having authored 34 papers that have together received 307 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Oncology (136 citations), Internal Medicine (15 citations), Cancer Research (28 citations), Immunology (40 citations) and Pulmonary and Respiratory Medicine (54 citations). D. Viñal has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jaime Feliú, Enrique Espinosa, Oliver Higuera, Nuria Rodrı́guez-Salas, Álvaro Pinto, Eduardo Castañón, Ignacio Gil‐Bazo, José I. Echeveste, Javier Pérez Pedregosa and Inés López. Their work appears in journals such as Clinical & Translational Oncology, Journal of Clinical Oncology, Cancers, ESMO Open and Biomedicines.
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.