E. Vidal

869 citations
13 papers · 694 · h-index 11

Impact in

Papers in

    • Cytomegalovirus and herpesvirus research 2
    • Influenza Virus Research Studies 2
    • Urinary Tract Infections Management 1
    • Tuberculosis Research and Epidemiology 2

E. Vidal

13 papers receiving 669 citations

Peers

E. Vidal
Comparison fields: 5 of 43
  • Transplantation 58
  • Molecular Medicine 84
  • Epidemiology 288
  • Applied Microbiology and Biotechnology 15
  • Infectious Diseases 101
Replace Gemma Sanclemente with:
Gemma Sanclemente Spain
Silvia Rothlin Switzerland
Bettina Laesser Switzerland
José Tiago Silva Spain
Dariusz Kawecki Poland
Katja Boggian Switzerland
Agron Plevneshi Canada
Irma Hoyo Spain
A Sciacca Italy
K. Green Canada
E. Vidal relative to Gemma Sanclemente Spain Gemma Sanclemente's profile →
Citations per field
00.5×1.5×1.8×
Gemma Sanclemente · 1×
Citations per year

Countries citing papers authored by E. Vidal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Vidal Line = papers co-authored together E. Vidal links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2012151
2 2017125
3 201699
4 201161
5 201549
6 201448
7 201543
8 201843
9 201632
10
Does dapsone have a role in the treatment of temporal arteritis with regard to efficacy and toxicity?
199420
11 200611
12
[Agranulocytosis caused by dapsone. Apropos of 3 cases. Review of the literature].
19889
13 20063

About E. Vidal

E. Vidal is a scholar working on Epidemiology, Infectious Diseases, Critical Care and Intensive Care Medicine, Molecular Medicine and Emergency Medicine, having authored 13 papers that have together received 694 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Influenza Virus Research Studies (2 papers), HIV-related health complications and treatments (1 paper), Urinary Tract Infections Management (1 paper), Nosocomial Infections in ICU (1 paper), Vascular Tumors and Angiosarcomas (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Transplantation (58 citations), Molecular Medicine (84 citations), Epidemiology (288 citations), Applied Microbiology and Biotechnology (15 citations) and Infectious Diseases (101 citations). E. Vidal has collaborated with scholars based in Spain, France and Brazil. Frequent co-authors include Elisa Cordero, Julián de la Torre Cisneros, Óscar Len, Miguel Montejo, Marino Blanes, José María Aguado, Núria Borrell, António Ramos, Carlos Cervera and Jesús Fortün. Their work appears in journals such as Clinical Microbiology and Infection, Clinical Infectious Diseases, Transplantation Reviews, Scandinavian Journal of Rheumatology and Transplant Infectious Disease.

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.

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