Anuska Llano

1.9k citations
47 papers · 859 · h-index 19

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 39
    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 6

Anuska Llano

46 papers receiving 840 citations

Peers

Anuska Llano
Comparison fields: 5 of 66
  • Virology 505
  • Immunology 377
  • Infectious Diseases 215
  • Emergency Medicine 68
  • Biological Psychiatry 16
Replace Natalia Soriano-Sarabia with:
Natalia Soriano-Sarabia United States
Jeffrey Wang United States
Ming‐Bo Huang United States
Ilaria Schiavoni Italy
Joann Cutilli United States
Si‐La Yong Netherlands
Fiona Wightman Australia
Judith Dalmau Spain
Renée M. van der Sluis Netherlands
Nicolas Ruffin Sweden
Anuska Llano relative to Natalia Soriano-Sarabia United States Natalia Soriano-Sarabia's profile →
Citations per field
00.5×2.7×
Natalia Soriano-Sarabia · 1×
Citations per year

Countries citing papers authored by Anuska Llano

Since Specialization
Citations

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

Fields of papers citing papers by Anuska Llano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001110
2 200356
3 200547
4 202045
5 200844
6 201543
7 201740
8 200538
9 201233
10 200931
11 201831
12 200930
13 200427
14 201726
15 201523
16 200623
17 201220
18 202020
19 200319
20 201317

About Anuska Llano

Anuska Llano is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Emergency Medicine, having authored 47 papers that have together received 859 indexed citations. Recurring topics across this work include HIV Research and Treatment (39 papers), Immune Cell Function and Interaction (18 papers), HIV/AIDS drug development and treatment (12 papers), vaccines and immunoinformatics approaches (9 papers), T-cell and B-cell Immunology (6 papers), HIV-related health complications and treatments (5 papers), HIV/AIDS Research and Interventions (4 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (505 citations), Immunology (377 citations), Infectious Diseases (215 citations), Emergency Medicine (68 citations) and Biological Psychiatry (16 citations). Anuska Llano has collaborated with scholars based in Spain, United States and Peru. Frequent co-authors include José A. Esté, Bonaventura Clotet, Christian Brander, Jordi Barretina, Julià Blanco, Beatriz Mothe, Arantxa Gutiérrez, Cecilia Cabrera, Javier Ibarrondo and Gemma Moncunill. Their work appears in journals such as Journal of Virology, AIDS, Retrovirology, PLoS ONE and Vaccines.

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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