E. Ubiña Aznar

593 citations
12 papers · 282 indexed · h-index 6
    • HIV/AIDS drug development and treatment 3
    • HIV/AIDS Research and Interventions 2
    • Tuberculosis Research and Epidemiology 1
  • Virology top 10%
    • HIV Research and Treatment 4
    • Liver Disease Diagnosis and Treatment 2
    • Herpesvirus Infections and Treatments 1
    • Infectious Diseases and Tuberculosis 1
    • Hepatitis C virus research 2

E. Ubiña Aznar

12 papers receiving 263 citations

Peers

E. Ubiña Aznar
Comparison fields: 5 of 44
  • Infectious Diseases 167
  • Virology 38
  • Epidemiology 217
  • Surgery 107
  • Dermatology 15
Replace Nagalingeswaran Kumarasamy with:
Nagalingeswaran Kumarasamy India
Jorge Francisco da Cunha Pinto Brazil
Aikichi Iwamoto Japan
Baochi Liu China
Hulya Levendoglu United States
Robert Badura Portugal
Camilla Ajassa Italy
Helen van der Plas South Africa
Margaret J. Gorensek United States
Marshall Lyon United States
E. Ubiña Aznar relative to Nagalingeswaran Kumarasamy India Nagalingeswaran Kumarasamy's profile →
Citations per field
00.5×1.5×2.2×
Nagalingeswaran Kumarasamy · 1×
Citations per year

Countries citing papers authored by E. Ubiña Aznar

Since Specialization
Citations

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

Fields of papers citing papers by E. Ubiña Aznar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Ubiña Aznar. 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. Ubiña Aznar. The network helps show where E. Ubiña Aznar may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20206
2 20071
3 20078
4 20072
5 20062
6 20062
7
[Systemic arterial hypertension in primary chronic glomerulonephritis: prevalence and its influence on the renal prognosis].
20053
8 1998103
9 19985
10 1993142
11
Comparison of ribavirin and placebo in CDC group III human immunodeficiency virus infection. Spanish Ribavirin Trial Group.
19913
12 19785

About E. Ubiña Aznar

E. Ubiña Aznar is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 12 papers that have together received 282 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers), HIV/AIDS Research and Interventions (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Herpesvirus Infections and Treatments (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (167 citations), Virology (38 citations) and Epidemiology (217 citations). E. Ubiña Aznar has collaborated with scholars based in Spain, France and Palestinian Territory. Frequent co-authors include E Soriano, José Mallolas, Ana Guelar, José M. Gatell, Estebán Martínez, Luisa Seco Lozano, José M. Miró, Laura Zamora, J. González and Gregorio García Fernández.

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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