Eva Román

2.8k citations
64 papers · 1.7k · h-index 23

Impact in

  • Hepatology top 1%
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Mycobacterium research and diagnosis

Papers in

Eva Román

59 papers receiving 1.7k citations

Peers

Eva Román
Comparison fields: 5 of 114
  • Hepatology 880
  • Epidemiology 917
  • Geriatrics and Gerontology 61
  • Physiology 348
  • Infectious Diseases 245
Replace Nicole A. Noble with:
Nicole A. Noble United States
Audrey L. Shaw United States
Pamela Monteith United States
Tilman Bauer Germany
Julio Collazos Spain
Susan L. Koletar United States
Alison D. Lydecker United States
Joaquín Portilla Spain
Rómulo E. Colindres United States
D. Henzel France
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Citations per field
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Nicole A. Noble · 1×
Citations per year

Countries citing papers authored by Eva Román

Since Specialization
Citations

This map shows the geographic impact of Eva Román'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 Eva Román with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Román more than expected).

Fields of papers citing papers by Eva Román

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Román. 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 Eva Román. The network helps show where Eva Román may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Román, 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 Eva Román Line = papers co-authored together Eva Román links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 2014157
3 2016112
4 201188
5 201388
6 200972
7 201962
8 199660
9 199158
10 201653
11 201250
12 201146
13
Analysis of human T-cell epitopes in the 19,000 MW antigen of Mycobacterium tuberculosis: influence of HLA-DR.
199144
14 201040
15 199140
16 199339
17
Management of blunt duodenal injury.
197138
18 199334
19 200131
20 201029

About Eva Román

Eva Román is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Molecular Biology and Surgery, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (27 papers), Liver Disease Diagnosis and Treatment (19 papers), Tuberculosis Research and Epidemiology (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), vaccines and immunoinformatics approaches (5 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Abdominal vascular conditions and treatments (4 papers). The work is most often cited by research in Hepatology (880 citations), Epidemiology (917 citations), Geriatrics and Gerontology (61 citations), Physiology (348 citations) and Infectious Diseases (245 citations). Eva Román has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Germán Soriano, Carlos Guarner, María Torrens, Carlos S. Moreno, Juan Córdoba, Xavier Torras, Juan C. Nieto, Vı́ctor Vargas, María Poca and Sílvia Vidal. Their work appears in journals such as Journal of Hepatology, Scientific Reports, The Journal of Immunology, Alimentary Pharmacology & Therapeutics 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.

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