E. Vidal
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Cytomegalovirus and herpesvirus research 3
- Respiratory viral infections research 2
- Influenza Virus Research Studies 2
- Co-authors
- Elisa Cordero (3 shared papers)Óscar Len (2 shared papers)Miguel Montejo (2 shared papers)Julián de la Torre Cisneros (2 shared papers)José María Aguado (2 shared papers)Marino Blanes (2 shared papers)Mercè Gurguí (1 shared paper)Patricia Muñóz (1 shared paper)
In The Last Decade
E. Vidal
16 papers receiving 720 citations
Peers
Comparison fields: 5 of 78
- Transplantation 59
- Molecular Medicine 68
- Epidemiology 394
- Infectious Diseases 152
- Hepatology 43
Countries citing papers authored by E. Vidal
This map shows the geographic impact of E. 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 E. Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Vidal more than expected).
Fields of papers citing papers by E. Vidal
This network shows the impact of papers produced by E. 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 E. Vidal. The network helps show where E. Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 150 | |
| 2 | 2017 | 122 | |
| 3 | 2016 | 99 | |
| 4 | 2011 | 61 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 48 | |
| 7 | 2017 | 45 | |
| 8 | 2018 | 43 | |
| 9 | 2015 | 42 | |
| 10 | 2016 | 32 | |
| 11 | Does dapsone have a role in the treatment of temporal arteritis with regard to efficacy and toxicity? | 1994 | 20 |
| 12 | 2010 | 11 | |
| 13 | 2006 | 11 | |
| 14 | [Agranulocytosis caused by dapsone. Apropos of 3 cases. Review of the literature]. | 1988 | 9 |
| 15 | [Dysmetabolic hepatosiderosis, characteristics in 51 patients]. | 2003 | 3 |
| 16 | 2006 | 3 |
About E. Vidal
E. Vidal is a scholar working on Epidemiology, Rheumatology, Genetics, Transplantation and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 748 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (1 paper), Vasculitis and related conditions (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Transplantation (59 citations), Molecular Medicine (68 citations), Epidemiology (394 citations), Infectious Diseases (152 citations) and Hepatology (43 citations). E. Vidal has collaborated with scholars based in Spain, France and Canada. Frequent co-authors include Elisa Cordero, Óscar Len, Miguel Montejo, Julián de la Torre Cisneros, José María Aguado, Marino Blanes, Mercè Gurguí, Patricia Muñóz, Jesús Fortün and António Ramos. Their work appears in journals such as Clinical Microbiology and Infection, Clinical Infectious Diseases, Transplantation Reviews, Scandinavian Journal of Rheumatology and Journal of Hospital Infection.
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.