Carlos Padilla

1.9k total citations
72 papers, 823 citations indexed

About

Carlos Padilla is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Carlos Padilla has authored 72 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Epidemiology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Carlos Padilla's work include Oral microbiology and periodontitis research (13 papers), Probiotics and Fermented Foods (11 papers) and Salivary Gland Disorders and Functions (6 papers). Carlos Padilla is often cited by papers focused on Oral microbiology and periodontitis research (13 papers), Probiotics and Fermented Foods (11 papers) and Salivary Gland Disorders and Functions (6 papers). Carlos Padilla collaborates with scholars based in Chile, Peru and Spain. Carlos Padilla's co-authors include Olga Lobos, E Hubert, Pablo Villalobos, Camila González, Omar Cáceres, Rodrigo A. Giacaman, M. Hernández‐Mayoral, Francisca F. del Campo, Achim Spiller and Marco Galarza and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Carlos Padilla

67 papers receiving 792 citations

Peers

Carlos Padilla

PHEOH

PERIO

EPIDE

Ömer Poyraz Türkiye

Karsten R. O. Hazlett United States

Alvin W. Lo Australia

Jacqueline I. Kelley United States

Lidia Chomicz Poland

Marie‐Hélène Rodier France

Hadi Abd Sweden

Roderick McNab United Kingdom

Rosario San Millàn Spain

Carrie L. Shaffer United States

Ömer Poyraz Türkiye

Carlos Padilla

131 ×0.7

PHEOH

189 ×1.1

PERIO

152 ×0.9

273 ×1.9

55 ×0.4

EPIDE

Citations per year, relative to Carlos Padilla Carlos Padilla (= 1×) peers Ömer Poyraz

Countries citing papers authored by Carlos Padilla

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Padilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Padilla

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

Lorente, Leonardo, Pedro Abreu-González, Agustín F. González-Rivero, et al.. (2025). High Salivary 3-Nitrotyrosine Levels in Periodontitis. Journal of Clinical Medicine. 14(19). 6785–6785.

Munayco, César V., María Mendoza, Carlos Padilla, et al.. (2024). Notes from the Field: Dengue Outbreak — Peru, 2023. MMWR Morbidity and Mortality Weekly Report. 73(4). 86–88. 6 indexed citations

Aquino, Marla Mendes de, Víctor Borda, César Sánchez, et al.. (2024). The need to diversify genomic studies: Insights from Andean highlanders and Amazonians. Cell. 187(18). 4819–4823. 3 indexed citations

Padilla, Carlos, et al.. (2024). Dispersion of SARS-CoV-2 lineage BA.5.1.25 and its descendants in Peru during two COVID-19 waves in 2022. Genomics & Informatics. 22(1). 5–5. 1 indexed citations

Galarza, Marco, et al.. (2023). Neutralización del coronavirus SARS-CoV-2 por suero hiperinmune de llama (Lama glama) en cultivo de células Vero. Revista Peruana de Medicina Experimental y Salud Pública. 40(3). 287–96. 1 indexed citations

Padilla, Carlos, et al.. (2022). Características de los primeros casos reportados como sospechosos de Monkeypox en el Perú. Anales de la Facultad de Medicina. 83(3). 228–234. 5 indexed citations

Padilla, Carlos, et al.. (2020). Coinfection of Human Filarial Loa loa, Mansonnella perstans in Human T Lymphotropic Virus Type 1 Infected Individuals in Gabon. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

Gilman, Robert H., Carlos Padilla, Hector H. García, et al.. (2019). Characterization of a novel cathepsin L-like protease from Taenia solium metacestodes for the immunodiagnosis of porcine cysticercosis. Veterinary Parasitology. 267. 9–16. 6 indexed citations

Harris, Daniel, Wei Song, Amol C. Shetty, et al.. (2018). Evolutionary genomic dynamics of Peruvians before, during, and after the Inca Empire. Proceedings of the National Academy of Sciences. 115(28). E6526–E6535. 85 indexed citations

10.

Padilla, Carlos, et al.. (2016). Mutacins and bacteriocins like genes in Streptococcus mutans isolated from participants with high, moderate, and low salivary count. Archives of Oral Biology. 74. 1–4. 3 indexed citations

11.

Padilla, Carlos, et al.. (2014). Virulence genes and antimicrobial susceptibility of Escherichia coli taken from women with vaginitis in Talca, Chile. The Journal of Infection in Developing Countries. 8(3). 265–270. 1 indexed citations

12.

Padilla, Carlos, et al.. (2013). Diagnóstico molecular para leishmaniasis. SHILAP Revista de lepidopterología.

13.

Lobos, Olga, et al.. (2013). Análisis genético y propiedades virulentas de cepas de Escherichia coliaisladas desde infección vaginal. Revista chilena de infectología. 30(4). 381–387. 3 indexed citations

14.

Hijar, Gisely, et al.. (2007). GENOTIPIFICACIÓN DEL VIRUS DE LA HEPATITIS B EN PACIENTES DE ÁREAS ENDÉMICAS DEL PERÚ. Revista Peruana de Medicina Experimental y Salud Pública. 24(4). 427–430. 4 indexed citations

15.

Padilla, Carlos. (2004). In vitro antibacterial activity of the peptide PsVP-10 against antimicrobial-resistant Enterococcus faecalis isolated from clinical samples. Journal of Antimicrobial Chemotherapy. 53(2). 390–392. 6 indexed citations

16.

Padilla, Carlos, et al.. (2002). Genes coding structural proteins in the Leishmania braziliensis complex. Transactions of the Royal Society of Tropical Medicine and Hygiene. 96. S49–S54.

17.

Padilla, Carlos, et al.. (2001). Production of antimicrobial substances, by hospital bacteria, active against othermicro-organisms. Journal of Hospital Infection. 49(1). 43–47. 3 indexed citations

18.

Villaseca, Pablo, Carlos Padilla, Frine Samalvides, et al.. (1999). Importancia de la Lutzomyia peruensis en la transmisión de la Enfermedad de Carrión en el Valle Sagrado de los Incas, Urubamba-Cusco,Perú. SHILAP Revista de lepidopterología. 5 indexed citations

19.

Hijar, Gisely, et al.. (1998). Estandarización de la PCR para el diagnóstico del virus de la hepatitis B en el Perú. Revista Peruana de Medicina Experimental y Salud Pública. 15. 30–33. 1 indexed citations

20.

Padilla, Carlos, et al.. (1990). Inhibition of the growth of enteropathogenic bacilli by bacteriocins produced by micro‐organisms from the sediment of wells. Journal of Applied Bacteriology. 68(3). 289–295. 5 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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