Javier Martínez‐Sanz

172 total papers · 2.8k total citations
84 papers, 889 citations indexed

About

Javier Martínez‐Sanz is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Javier Martínez‐Sanz has authored 84 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 35 papers in Epidemiology and 19 papers in Virology. Recurrent topics in Javier Martínez‐Sanz's work include HIV/AIDS Research and Interventions (25 papers), HIV-related health complications and treatments (18 papers) and HIV Research and Treatment (17 papers). Javier Martínez‐Sanz is often cited by papers focused on HIV/AIDS Research and Interventions (25 papers), HIV-related health complications and treatments (18 papers) and HIV Research and Treatment (17 papers). Javier Martínez‐Sanz collaborates with scholars based in Spain, United States and United Kingdom. Javier Martínez‐Sanz's co-authors include Santiago Moreno, Sergio Serrano‐Villar, Carmen Cabellos, Fé Tubau, P. F. Viladrich, Raquel Ron, F. Gudiol, Alfonso Muriel, Sabina Herrera and José A. Pérez‐Molina and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Javier Martínez‐Sanz

77 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Javier Martínez‐Sanz 422 395 172 115 108 84 889
Teresa Hernández‐Sampelayo 533 1.3× 388 1.0× 168 1.0× 116 1.0× 75 0.7× 84 993
Carlo Concato 315 0.7× 338 0.9× 69 0.4× 79 0.7× 152 1.4× 35 813
F Boag 242 0.6× 296 0.7× 166 1.0× 90 0.8× 104 1.0× 53 849
Michal Holub 398 0.9× 181 0.5× 62 0.4× 124 1.1× 52 0.5× 85 1.0k
M G Brook 571 1.4× 300 0.8× 87 0.5× 92 0.8× 73 0.7× 63 1.0k
Lemonia Skoura 295 0.7× 278 0.7× 52 0.3× 105 0.9× 74 0.7× 113 1.0k
Chuen‐Yen Lau 332 0.8× 336 0.9× 154 0.9× 188 1.6× 110 1.0× 51 970
Paul De Munter 296 0.7× 406 1.0× 81 0.5× 83 0.7× 158 1.5× 54 858
Sergio Sabbatani 330 0.8× 323 0.8× 49 0.3× 138 1.2× 136 1.3× 107 932
Haluk Eraksoy 311 0.7× 288 0.7× 75 0.4× 122 1.1× 26 0.2× 78 1.0k

Countries citing papers authored by Javier Martínez‐Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Javier Martínez‐Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Martínez‐Sanz. 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 Martínez‐Sanz. The network helps show where Javier Martínez‐Sanz may publish in the future.

Co-authorship network of co-authors of Javier Martínez‐Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Martínez‐Sanz. A scholar is included among the top collaborators of Javier Martínez‐Sanz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Martínez‐Sanz. Javier Martínez‐Sanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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