Concha Casado

1.5k citations
48 papers · 806 · h-index 17

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 41
    • HIV/AIDS drug development and treatment 28
    • HIV/AIDS Research and Interventions 13

Concha Casado

45 papers receiving 793 citations

Peers

Concha Casado
Comparison fields: 5 of 52
  • Virology 636
  • Infectious Diseases 497
  • Immunology 152
  • Hepatology 52
  • Genetics 113
Replace Xinyao Yu with:
Xinyao Yu United States
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Gayathri S. Athreya United States
Stéphanie Wyss United States
B. J. Potts United States
Marintha Heil United States
Erica H. Parrish United States
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Citations per field
00.5×7.3×
Xinyao Yu · 1×
Citations per year

Countries citing papers authored by Concha Casado

Since Specialization
Citations

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

Fields of papers citing papers by Concha Casado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999122
2 201069
3 200654
4 202049
5 200240
6 201039
7 201835
8 200734
9 201930
10 200928
11 201027
12 200522
13 201220
14 200118
15 200717
16 201317
17 200017
18 201916
19 200916
20 200416

About Concha Casado

Concha Casado is a scholar working on Virology, Infectious Diseases, Hepatology, Immunology and Epidemiology, having authored 48 papers that have together received 806 indexed citations. Recurring topics across this work include HIV Research and Treatment (41 papers), HIV/AIDS drug development and treatment (28 papers), HIV/AIDS Research and Interventions (13 papers), Hepatitis C virus research (9 papers), Immune Cell Function and Interaction (6 papers), Blood groups and transfusion (4 papers), Evolution and Genetic Dynamics (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (636 citations), Infectious Diseases (497 citations), Immunology (152 citations), Hepatology (52 citations) and Genetics (113 citations). Concha Casado has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Cecilio López‐Galíndez, María Pernas, Eloísa Yuste, Jorge del Romero, Carmen Rodríguez, Esteban Domingo, Isabel Olivares, Soledad García, Sonsoles Sánchez‐Palomino and Gonzalo Bello. Their work appears in journals such as PLoS ONE, AIDS Research and Human Retroviruses, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of General Virology and Journal of Virology.

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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