Pablo Tsukayama

1.8k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Pablo Tsukayama is a scholar working on Molecular Medicine, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pablo Tsukayama has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Medicine, 10 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Pablo Tsukayama's work include Antibiotic Resistance in Bacteria (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Pablo Tsukayama is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Pablo Tsukayama collaborates with scholars based in Peru, United States and United Kingdom. Pablo Tsukayama's co-authors include Robert H. Gilman, Gautam Dantas, Erica C. Pehrsson, Sanket Patel, Maritza Calderón, Douglas E. Berg, Marta Bertoli, Lilia Cabrera, Melissa Mejía-Bautista and Thomas M. Hooton and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pablo Tsukayama

32 papers receiving 1.1k citations

Hit Papers

Interconnected microbiomes and resistomes in low-income h... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Pablo Tsukayama
Andrew J. Gasparrini United States
Pablo Tsukayama
Citations per year, relative to Pablo Tsukayama Pablo Tsukayama (= 1×) peers Andrew J. Gasparrini

Countries citing papers authored by Pablo Tsukayama

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Tsukayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Tsukayama

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

All Works

20 of 20 papers shown
1.
Reyes, Alejandro, Claudio Durán, Deborah Delgado Pugley, et al.. (2025). A Latin American perspective on microbiome research. Nature Communications. 16(1). 10691–10691.
2.
Furlan, João Pedro Rueda, et al.. (2025). Shelter dogs as reservoirs of international clones of Escherichia coli carrying mcr-1.1 and blaCTX-M resistance genes in Lima, Peru. Veterinary Microbiology. 305. 110543–110543. 1 indexed citations
3.
Tsukayama, Pablo, et al.. (2025). Diversidad genómica de <i>Escherichia coli</i> uropatógena en aislados clínicos de seis países de Latinoamérica, 2018-2023. Revista Peruana de Medicina Experimental y Salud Pública. 42(2). 156–65.
4.
Álvarez, Carlos, Evaldo Stanislau Affonso de Araújo, Elsa Baumeister, et al.. (2024). Differential Diagnosis in the Management of Acute Respiratory Infections through Point-of-Care Rapid Testing in a Post-Pandemic Scenario in Latin America: Special Focus on COVID-19, Influenza, and Respiratory Syncytial Virus. SHILAP Revista de lepidopterología. 4(2). 221–260. 3 indexed citations
5.
Molina-Mora, José Arturo, et al.. (2024). Genomic and Phylogenetic Characterisation of SARS-CoV-2 Genomes Isolated in Patients from Lambayeque Region, Peru. Tropical Medicine and Infectious Disease. 9(2). 46–46. 1 indexed citations
7.
Galarza, Marco, Jorge L. Ramírez, Néstor Luque, et al.. (2024). Detection of SARS-CoV-2 variants in hospital wastewater in Peru, 2022. Revista Peruana de Medicina Experimental y Salud Pública. 41(2). 140–5. 1 indexed citations
8.
Fuhrmeister, Erica R., Maya Nadimpalli, Karin Gallandat, et al.. (2023). Evaluating the relationship between community water and sanitation access and the global burden of antibiotic resistance: an ecological study. The Lancet Microbe. 4(8). e591–e600. 38 indexed citations
9.
Castelán‐Sánchez, Hugo G., Sonia Dávila‐Ramos, José Luis Sierra-Monzón, et al.. (2023). Evidence of natural selection and dominance of SARS-CoV-2 variant Lambda (C.37) over variants of concern in Cusco, Peru. Archives of Virology. 168(3). 4 indexed citations
10.
Cruz‐Vargas, Jhony A. De La, et al.. (2023). Prevalence of SARS-CoV-2 Variants and Disease Outcome of COVID-19 Patients in the Amazonas Region of Peru. American Journal of Tropical Medicine and Hygiene. 109(3). 523–526. 1 indexed citations
11.
Tsukayama, Pablo, et al.. (2023). Viruela Símica. 61(4). e413–e413. 2 indexed citations
12.
Krapp, Fiorella, Coralith García, Theresa J. Ochoa, et al.. (2022). 151. Molecular diversity and resistance mechanisms of Klebsiella pneumoniae bloodstream infections in Peru. Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations
13.
Carrillo‐Larco, Rodrigo M., Wilmer Cristobal Guzman‐Vilca, Fabiola Lèon‐Velarde, et al.. (2021). Peru – Progress in health and sciences in 200 years of independence. The Lancet Regional Health - Americas. 7. 100148–100148. 56 indexed citations
14.
Murray, Matthew J., Mónica J. Pajuelo, Andrés G. Lescano, et al.. (2021). Market Chickens as a Source of Antibiotic-Resistant Escherichia coli in a Peri-Urban Community in Lima, Peru. Frontiers in Microbiology. 12. 635871–635871. 35 indexed citations
15.
Romero, Pedro, et al.. (2021). Uso de genomas de SARS-CoV-2 para la estimación del número reproductivo efectivo (Rt) en Perú durante marzo y abril del 2020. Revista Peruana de Medicina Experimental y Salud Pública. 38(2). 267–71. 1 indexed citations
16.
Schultze, Tilman, Wibke Ballhorn, Palmira Ventosilla, et al.. (2021). Identification of immunodominant Bartonella bacilliformis proteins: a combined in-silico and serology approach. The Lancet Microbe. 2(12). e685–e694. 6 indexed citations
17.
Tsukayama, Pablo, et al.. (2021). Caracterización microbiológica y molecular de la resistencia antimicrobiana de Escherichia coli uropatógenas de hospitales públicos peruanos. Revista Peruana de Medicina Experimental y Salud Pública. 38(1). 119–23. 6 indexed citations
18.
Nadimpalli, Maya, Sara Marks, María Camila Montealegre, et al.. (2020). Urban informal settlements as hotspots of antimicrobial resistance and the need to curb environmental transmission. Nature Microbiology. 5(6). 787–795. 140 indexed citations
19.
Henderson, Jeffrey P., Jan R. Crowley, Jerome S. Pinkner, et al.. (2009). Quantitative Metabolomics Reveals an Epigenetic Blueprint for Iron Acquisition in Uropathogenic Escherichia coli. PLoS Pathogens. 5(2). e1000305–e1000305. 176 indexed citations
20.
Tsukayama, Pablo, Carmen Lucas, & David Bacon. (2008). Typing of four genetic loci discriminates among closely related species of New World Leishmania. International Journal for Parasitology. 39(3). 355–362. 37 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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