Javier de la Torre

6.8k citations
86 papers · 3.0k indexed · 1 hit paper · h-index 20

Javier de la Torre

83 papers receiving 2.9k citations

Hit Papers

Supporting Red List threat assessments with GeoCAT: geosp...1.4k20112026201620214008001.2k

Peers

Javier de la Torre
Comparison fields: 5 of 137
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Ecological Modeling 164
  • Infectious Diseases 646
  • Epidemiology 943
  • Virology 116
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Pilar Catalán Spain
Takashi Nakano Japan
David Shaw United States
Elizabeth A. Nelson United States
Susan L. Perkins United States
Robert P. Smith United States
Mark Hughes United Kingdom
William A. Meyer United States
Clas Ahlm Sweden
Martin J. Donnelly United Kingdom
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Citations per year

Countries citing papers authored by Javier de la Torre

Since Specialization
Citations

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

Fields of papers citing papers by Javier de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier de la Torre. 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 Javier de la Torre. The network helps show where Javier de la Torre may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20218
4 20188
5 201712
6 2013334
7 20123
8
Programa de asesoramiento en tratamiento antibiótico en un hospital de segundo nivel: resultados de un año de actuación
20114
9 20114
10 20103
11 20082
12 20086
13 2007154
14 20071
15 20061
16
Impacto del apoyo social y la morbilidad psíquica en la calidad de vida en pacientes tratados con antirretrovirales
20058
17 200517
18 2005106
19 20011
20
[Decrease in isoflurane requirements and of postoperative pain with preanesthetic intrathecal morphine].
19952

About Javier de la Torre

Javier de la Torre is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (22 papers), HIV-related health complications and treatments (18 papers), HIV/AIDS drug development and treatment (18 papers), HIV/AIDS Research and Interventions (18 papers), HIV Research and Treatment (15 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Streptococcal Infections and Treatments (12 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.2k citations), Ecological Modeling (164 citations) and Infectious Diseases (646 citations). Javier de la Torre has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Andrew Hill, Steven P. Bachman, Justin Moat, Ben Scott, Antonio Plata, Juan Gálvez-Acebal, Francisco Javier Martínez‐Marcos, José Manuel Lomas, J.M. Reguera and Carmen Hidalgo-Tenorio. Their work appears in journals such as Circulation, PLoS ONE and Clinical Infectious Diseases.

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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