Sílvia Vidal
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
- Immunology 42
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 7
- Oncology 22
- Co-authors
- Elisabet Cantó (44 shared papers)C. Juárez (34 shared papers)Juan C. Nieto (28 shared papers)J. L. Rodríguez-Sánchez (16 shared papers)D H Kono (1 shared paper)Argyrios N. Theofilopoulos (1 shared paper)Carlos Zamora (32 shared papers)Germán Soriano (20 shared papers)
- Journals
- International Journal of Molecular Sciences (11 papers)Scientific Reports (8 papers)The Journal of Immunology (4 papers)Journal of Leukocyte Biology (4 papers)PLoS ONE (3 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Sílvia Vidal
121 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Immunology 768
- Hepatology 216
- Rheumatology 265
- Epidemiology 557
- Hematology 175
Countries citing papers authored by Sílvia Vidal
This map shows the geographic impact of Sílvia Vidal'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 Sílvia Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia Vidal more than expected).
Fields of papers citing papers by Sílvia Vidal
This network shows the impact of papers produced by Sílvia Vidal. 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 Sílvia Vidal. The network helps show where Sílvia Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sílvia Vidal, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 186 | |
| 2 | 2014 | 160 | |
| 3 | 2010 | 109 | |
| 4 | 2006 | 94 | |
| 5 | 2011 | 72 | |
| 6 | 2016 | 70 | |
| 7 | 2019 | 64 | |
| 8 | 2007 | 59 | |
| 9 | 2004 | 59 | |
| 10 | 2019 | 59 | |
| 11 | 1990 | 59 | |
| 12 | 2010 | 58 | |
| 13 | 2013 | 56 | |
| 14 | 2006 | 56 | |
| 15 | 2016 | 53 | |
| 16 | 2017 | 53 | |
| 17 | 2023 | 51 | |
| 18 | 2019 | 49 | |
| 19 | 2009 | 42 | |
| 20 | 2017 | 40 |
About Sílvia Vidal
Sílvia Vidal is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Rheumatology, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers), Liver Disease and Transplantation (11 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Platelet Disorders and Treatments (7 papers), Immunotherapy and Immune Responses (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology (768 citations), Hepatology (216 citations), Rheumatology (265 citations), Epidemiology (557 citations) and Hematology (175 citations). Sílvia Vidal has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Elisabet Cantó, C. Juárez, Juan C. Nieto, J. L. Rodríguez-Sánchez, D H Kono, Argyrios N. Theofilopoulos, Carlos Zamora, Germán Soriano, Carlos Guarner and Cèsar Díaz‐Torné. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, The Journal of Immunology, Journal of Leukocyte Biology and PLoS ONE.
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.