Ana Martín‐Suárez

40 total papers · 592 total citations
29 papers, 441 citations indexed

About

Ana Martín‐Suárez is a scholar working on Pharmacology, Epidemiology and Human-Computer Interaction. According to data from OpenAlex, Ana Martín‐Suárez has authored 29 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Epidemiology and 6 papers in Human-Computer Interaction. Recurrent topics in Ana Martín‐Suárez's work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Virtual Reality Applications and Impacts (6 papers) and Pharmaceutical studies and practices (5 papers). Ana Martín‐Suárez is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (9 papers), Virtual Reality Applications and Impacts (6 papers) and Pharmaceutical studies and practices (5 papers). Ana Martín‐Suárez collaborates with scholars based in Spain, United States and Portugal. Ana Martín‐Suárez's co-authors include María Victoria Martínez Calvo, Maria Gatta, José M. Lanao, Hinojal Zazo Gómez, Cristina Maderuelo, Fernándo Muñoz, Juan Cruz-Benito, Francisco José García‐Peñalvo, Alfonso Domínguez‐Gil and Cándido Martín Luengo and has published in prestigious journals such as Scientific Reports, Journal of Antimicrobial Chemotherapy and Clinical Pharmacokinetics.

In The Last Decade

Ana Martín‐Suárez

26 papers receiving 427 citations

Author Peers

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

Author Last Decade Papers Cites
Ana Martín‐Suárez 193 119 110 58 56 29 441
Chenyan Zhao 94 0.5× 57 0.5× 134 1.2× 57 1.0× 19 0.3× 24 451
Jean K. Weston 110 0.6× 56 0.5× 83 0.8× 153 2.6× 44 0.8× 16 472
Erika Watanabe 236 1.2× 164 1.4× 113 1.0× 17 0.3× 58 1.0× 29 413
Jinjian Fu 76 0.4× 132 1.1× 182 1.7× 32 0.6× 25 0.4× 27 487
Yoke Lin Lo 206 1.1× 132 1.1× 75 0.7× 118 2.0× 32 0.6× 32 485
Cornelis Smit 173 0.9× 124 1.0× 77 0.7× 88 1.5× 22 0.4× 22 415
Markus Mueller 161 0.8× 40 0.3× 97 0.9× 14 0.2× 47 0.8× 26 430
Anna Wiela−Hojeńska 109 0.6× 47 0.4× 68 0.6× 39 0.7× 16 0.3× 46 431
M Florescu 61 0.3× 114 1.0× 93 0.8× 15 0.3× 45 0.8× 31 377
Fabio Taccone 239 1.2× 87 0.7× 177 1.6× 26 0.4× 52 0.9× 24 383

Countries citing papers authored by Ana Martín‐Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Ana Martín‐Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Martín‐Suárez. 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 Ana Martín‐Suárez. The network helps show where Ana Martín‐Suárez may publish in the future.

Co-authorship network of co-authors of Ana Martín‐Suárez

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Martín‐Suárez. A scholar is included among the top collaborators of Ana Martín‐Suárez 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 Ana Martín‐Suárez. Ana Martín‐Suárez 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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