José Martínez-Clemente

10 total papers · 677 total citations
8 papers, 531 citations indexed

About

José Martínez-Clemente is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Pathology and Forensic Medicine. According to data from OpenAlex, José Martínez-Clemente has authored 8 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Toxicology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in José Martínez-Clemente's work include Forensic Toxicology and Drug Analysis (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Alcohol Consumption and Health Effects (3 papers). José Martínez-Clemente is often cited by papers focused on Forensic Toxicology and Drug Analysis (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Alcohol Consumption and Health Effects (3 papers). José Martínez-Clemente collaborates with scholars based in Spain. José Martínez-Clemente's co-authors include David Pubill, Jorge Camarasa, Elena Escubedo, Raúl López‐Arnau, Marcel·lí Carbó, Sònia Abad and T. Rodrigo and has published in prestigious journals such as PLoS ONE, British Journal of Pharmacology and Psychopharmacology.

In The Last Decade

José Martínez-Clemente

8 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
José Martínez-Clemente 477 375 296 109 103 8 531
Katherine M. Wolfrum 360 0.8× 432 1.2× 318 1.1× 45 0.4× 162 1.6× 11 610
S. Geisshüsler 404 0.8× 208 0.6× 257 0.9× 97 0.9× 57 0.6× 12 553
Paula L. Vieira‐Brock 195 0.4× 308 0.8× 119 0.4× 41 0.4× 154 1.5× 16 450
Farhana Sakloth 271 0.6× 345 0.9× 208 0.7× 30 0.3× 221 2.1× 21 505
Thomas Steele 338 0.7× 378 1.0× 283 1.0× 19 0.2× 67 0.7× 11 550
Holger Siemann 388 0.8× 193 0.5× 290 1.0× 74 0.7× 46 0.4× 8 556
Chrystalla Kyriakou 400 0.8× 148 0.4× 226 0.8× 81 0.7× 108 1.0× 16 602
Ioanna Vardakou 359 0.8× 130 0.3× 177 0.6× 71 0.7× 46 0.4× 10 494
E. Menoyo 324 0.7× 215 0.6× 244 0.8× 73 0.7× 38 0.4× 14 592
Tracy L. Swanson 157 0.3× 243 0.6× 106 0.4× 26 0.2× 167 1.6× 19 472

Countries citing papers authored by José Martínez-Clemente

Since Specialization
Citations

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

Fields of papers citing papers by José Martínez-Clemente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Martínez-Clemente. 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 José Martínez-Clemente. The network helps show where José Martínez-Clemente may publish in the future.

Co-authorship network of co-authors of José Martínez-Clemente

This figure shows the co-authorship network connecting the top 25 collaborators of José Martínez-Clemente. A scholar is included among the top collaborators of José Martínez-Clemente 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 José Martínez-Clemente. José Martínez-Clemente 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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2026