José A. Aı́nsa

3.3k total citations
66 papers, 2.3k citations indexed

About

José A. Aı́nsa is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, José A. Aı́nsa has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Infectious Diseases, 32 papers in Epidemiology and 22 papers in Molecular Medicine. Recurrent topics in José A. Aı́nsa's work include Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (28 papers) and Antibiotic Resistance in Bacteria (22 papers). José A. Aı́nsa is often cited by papers focused on Tuberculosis Research and Epidemiology (40 papers), Mycobacterium research and diagnosis (28 papers) and Antibiotic Resistance in Bacteria (22 papers). José A. Aı́nsa collaborates with scholars based in Spain, France and Italy. José A. Aı́nsa's co-authors include Carlos Martı́n, Edda De Rossi, Giovanna Riccardi, Liliana Rodrigues, Santiago Ramón‐García, Miguel Viveiros, Ainhoa Lucía, Isabel Otal, Charles J. Thompson and Keith Chater and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

José A. Aı́nsa

64 papers receiving 2.2k citations

Peers

José A. Aı́nsa

EPIDE

Edda De Rossi Italy

Liliana Rodrigues Portugal

Ruben C. Hartkoorn Switzerland

Sanjib Bhakta United Kingdom

Apoorva Bhatt United Kingdom

Martin Everett United Kingdom

Jean‐Emmanuel Hugonnet France

Hideaki Hanaki Japan

Khisimuzi Mdluli United States

Gerald Larrouy‐Maumus United Kingdom

Edda De Rossi Italy

José A. Aı́nsa

1.2k ×1.0

1.0k ×1.0

EPIDE

937 ×1.1

613 ×0.9

259 ×1.0

Citations per year, relative to José A. Aı́nsa José A. Aı́nsa (= 1×) peers Edda De Rossi

Countries citing papers authored by José A. Aı́nsa

Since Specialization

Citations

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

Fields of papers citing papers by José A. Aı́nsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Aı́nsa. 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 A. Aı́nsa. The network helps show where José A. Aı́nsa may publish in the future.

Co-authorship network of co-authors of José A. Aı́nsa

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Aı́nsa. A scholar is included among the top collaborators of José A. Aı́nsa 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 A. Aı́nsa. José A. Aı́nsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chiner‐Oms, Álvaro, Ainhoa Lucía, Jesús Blázquez, et al.. (2025). The emergence of resistance to the antiparasitic selamectin in Mycobacterium smegmatis is improbable and contingent on cell wall integrity. Microbiology Spectrum. 13(5). e0233224–e0233224.

Cutruzzolà, Francesca, et al.. (2024). Merging multi-omics with proteome integral solubility alteration unveils antibiotic mode of action. eLife. 13. 2 indexed citations

Cutruzzolà, Francesca, et al.. (2024). Merging multi-omics with proteome integral solubility alteration unveils antibiotic mode of action. eLife. 13. 1 indexed citations

Aı́nsa, José A., et al.. (2023). Repurposing β-Lactams for the Treatment of Mycobacterium kansasii Infections: An In Vitro Study. Antibiotics. 12(2). 335–335. 3 indexed citations

López‐Calleja, Ana Isabel, et al.. (2023). In vitro synergy screens of FDA-approved drugs reveal novel zidovudine- and azithromycin-based combinations with last-line antibiotics against Klebsiella pneumoniae. Scientific Reports. 13(1). 14429–14429. 5 indexed citations

Jabalera, Ylenia, Manuel Montalbán‐López, Mercedes Maqueda, et al.. (2022). Embedding Biomimetic Magnetic Nanoparticles Coupled with Peptide AS-48 into PLGA to Treat Intracellular Pathogens. Pharmaceutics. 14(12). 2744–2744. 8 indexed citations

Lence, Emilio, Begoña Gracia, José A. Aı́nsa, et al.. (2022). Discovery of 3H-pyrrolo[2,3-c]quinolines with activity against Mycobacterium tuberculosis by allosteric inhibition of the glutamate-5-kinase enzyme. European Journal of Medicinal Chemistry. 232. 114206–114206. 12 indexed citations

Silva, Pedro Eduardo Almeida da, et al.. (2021). Overcoming the Prokaryote/Eukaryote Barrier in Tuberculosis Treatment: A Prospect for the Repurposing and Use of Antiparasitic Drugs. Microorganisms. 9(11). 2335–2335. 2 indexed citations

Song, Lijun, Romain Merceron, Fabian Hulpia, et al.. (2021). Structure-aided optimization of non-nucleoside M. tuberculosis thymidylate kinase inhibitors. European Journal of Medicinal Chemistry. 225. 113784–113784. 8 indexed citations

10.

Velázquez‐Campoy, Adrián, Eliette Touati, Uwe Mamat, et al.. (2021). Selective Targeting of Human and Animal Pathogens of the Helicobacter Genus by Flavodoxin Inhibitors: Efficacy, Synergy, Resistance and Mechanistic Studies. International Journal of Molecular Sciences. 22(18). 10137–10137. 6 indexed citations

11.

Lans, Isaías, et al.. (2020). In silico discovery and biological validation of ligands of FAD synthase, a promising new antimicrobial target. PLoS Computational Biology. 16(8). e1007898–e1007898. 13 indexed citations

12.

Baranyai, Zsuzsa, et al.. (2020). Nanotechnology‐Based Targeted Drug Delivery: An Emerging Tool to Overcome Tuberculosis. Advanced Therapeutics. 4(1). 57 indexed citations

13.

Lucía, Ainhoa, et al.. (2019). Polypeptidic Micelles Stabilized with Sodium Alginate Enhance the Activity of Encapsulated Bedaquiline. Macromolecular Bioscience. 19(4). e1800397–e1800397. 19 indexed citations

14.

Hibbitts, Alan, Ainhoa Lucía, Laura De Matteis, et al.. (2019). Co-delivery of free vancomycin and transcription factor decoy-nanostructured lipid carriers can enhance inhibition of methicillin resistant Staphylococcus aureus (MRSA). PLoS ONE. 14(9). e0220684–e0220684. 14 indexed citations

15.

Sanz‐García, Fernando, Esther Pérez‐Herrán, Carlos Martı́n, et al.. (2019). Mycobacterial Aminoglycoside Acetyltransferases: A Little of Drug Resistance, and a Lot of Other Roles. Frontiers in Microbiology. 10. 46–46. 29 indexed citations

16.

Aı́nsa, José A., Carmen S. R. Freire, Alan Hibbitts, et al.. (2018). Bedaquiline loaded lipid nanoparticles: a promising candidate for TB treatment. TechConnect Briefs. 3(2018). 59–62. 3 indexed citations

17.

Sebastian-Valverde, Maria, Begoña Gracia, Pilar Cossio, et al.. (2017). Discovery of antimicrobial compounds targeting bacterial type FAD synthetases. Journal of Enzyme Inhibition and Medicinal Chemistry. 33(1). 241–254. 24 indexed citations

18.

Rodrigues, Liliana, Tanya Parish, Meenakshi Balganesh, & José A. Aı́nsa. (2017). Antituberculosis drugs: reducing efflux = increasing activity. Drug Discovery Today. 22(3). 592–599. 25 indexed citations

19.

Aı́nsa, José A.. (2010). Practical Streptomyces Genetics. T. Kieser, M. J. Bibb, M. J. Buttner, K. F. Chater, D. A. Hopwood. International Microbiology. 3(4). 260–261. 4 indexed citations

20.

Rossi, Edda De, Patrizio Arrigo, Marco Bellinzoni, et al.. (2002). The multidrug transporters belonging to major facilitator superfamily in Mycobacterium tuberculosis.. PubMed. 8(11). 714–24. 89 indexed citations

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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