Pilar Retamar

83 total papers · 4.9k total citations
33 papers, 1.2k citations indexed

About

Pilar Retamar is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Epidemiology. According to data from OpenAlex, Pilar Retamar has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Applied Microbiology and Biotechnology, 12 papers in Pharmacology and 12 papers in Epidemiology. Recurrent topics in Pilar Retamar's work include Antibiotic Use and Resistance (16 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Pilar Retamar is often cited by papers focused on Antibiotic Use and Resistance (16 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Pilar Retamar collaborates with scholars based in Spain, Germany and United States. Pilar Retamar's co-authors include Jesús Rodríguez‐Baño, Álvaro Pascual, M.D. Navarro, Alfonso del Arco, María Dolores López-Prieto, A Arroyo, Andrés Martín-Aspas, Ángel Muñiz Muñoz, M. Torres-Tortosa and Marina de Cueto and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and FEMS Microbiology Reviews.

In The Last Decade

Pilar Retamar

31 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Pilar Retamar 571 491 409 409 311 33 1.2k
Elizabeth Neuner 793 1.4× 611 1.2× 365 0.9× 335 0.8× 517 1.7× 52 1.4k
Ki-Deok Lee 581 1.0× 416 0.8× 392 1.0× 422 1.0× 198 0.6× 17 1.1k
Julie Ann Justo 552 1.0× 537 1.1× 382 0.9× 572 1.4× 530 1.7× 81 1.5k
Shawn H. MacVane 515 0.9× 424 0.9× 305 0.7× 322 0.8× 404 1.3× 34 967
Yi Ling Lai 428 0.7× 386 0.8× 217 0.5× 342 0.8× 202 0.6× 32 1.0k
Lisa Saidel‐Odes 750 1.3× 396 0.8× 207 0.5× 288 0.7× 224 0.7× 40 1.1k
Sofia Maraki 639 1.1× 610 1.2× 166 0.4× 215 0.5× 272 0.9× 38 1.3k
Fotini Fligou 503 0.9× 338 0.7× 181 0.4× 258 0.6× 215 0.7× 59 1.3k
Pam Tolomeo 521 0.9× 606 1.2× 312 0.8× 325 0.8× 227 0.7× 90 1.4k
Ronald N. Jones 676 1.2× 455 0.9× 485 1.2× 267 0.7× 415 1.3× 45 1.5k

Countries citing papers authored by Pilar Retamar

Since Specialization
Citations

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

Fields of papers citing papers by Pilar Retamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pilar Retamar

This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Retamar. A scholar is included among the top collaborators of Pilar Retamar 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 Pilar Retamar. Pilar Retamar 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