JM Gatell

1.3k citations
33 papers · 1.1k · h-index 17

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS drug development and treatment 12
    • HIV/AIDS Research and Interventions 6
    • Tuberculosis Research and Epidemiology 1
    • HIV Research and Treatment 6

JM Gatell

31 papers receiving 1.0k citations

Peers

JM Gatell
Comparison fields: 5 of 82
  • Virology 305
  • Infectious Diseases 568
  • Emergency Medicine 194
  • Family Practice 15
  • Epidemiology 247
Replace M Hillebregt with:
M Hillebregt Netherlands
Valerianna Amorosa United States
Karoline Aebi‐Popp Switzerland
Valérie Journot France
Cristina Mussini Italy
Marek Beniowski United Kingdom
H. Nobel Netherlands
Antoni Jou Spain
Annette Haberl Germany
Edmund Wilkins United Kingdom
JM Gatell relative to M Hillebregt Netherlands M Hillebregt's profile →
Citations per field
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M Hillebregt · 1×
Citations per year

Countries citing papers authored by JM Gatell

Since Specialization
Citations

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

Fields of papers citing papers by JM Gatell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007202
2 1999132
3 2008126
4 200791
5 201562
6 200557
7 201151
8 201245
9 200237
10 201335
11 201231
12 199530
13 201430
14 200527
15 201326
16 200518
17 199717
18 199713
19 201510
20 20049

About JM Gatell

JM Gatell is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Epidemiology and Parasitology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (12 papers), HIV/AIDS Research and Interventions (6 papers), HIV-related health complications and treatments (6 papers), HIV Research and Treatment (6 papers), Ocular Diseases and Behçet’s Syndrome (1 paper), Gut microbiota and health (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Virology (305 citations), Infectious Diseases (568 citations), Emergency Medicine (194 citations), Family Practice (15 citations) and Epidemiology (247 citations). JM Gatell has collaborated with scholars based in Spain, United Kingdom and Belgium. Frequent co-authors include Jens Dilling Lundgren, Amanda Mocroft, Nathan Clumeck, Adriano Lazzarin, Elisa de Lazzari, Josep Mallolas, Montserrat Tuset, M. Martin, Bruno Ledergerber and Andrew N. Phillips. Their work appears in journals such as HIV Medicine, Antiviral Therapy, European Journal of Clinical Microbiology & Infectious Diseases, AIDS 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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