Daniel E. Noyola

4.2k total citations
107 papers, 2.3k citations indexed

About

Daniel E. Noyola is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Daniel E. Noyola has authored 107 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Epidemiology, 35 papers in Infectious Diseases and 15 papers in Immunology. Recurrent topics in Daniel E. Noyola's work include Respiratory viral infections research (54 papers), Influenza Virus Research Studies (24 papers) and Cytomegalovirus and herpesvirus research (18 papers). Daniel E. Noyola is often cited by papers focused on Respiratory viral infections research (54 papers), Influenza Virus Research Studies (24 papers) and Cytomegalovirus and herpesvirus research (18 papers). Daniel E. Noyola collaborates with scholars based in Mexico, United States and Spain. Daniel E. Noyola's co-authors include Gail J. Demmler, Carol J. Baker, Edina Moylett, Andreu Comas‐García, Christian A. García‐Sepúlveda, Sofía Bernal‐Silva, Peter B Mandeville, Carol Griesser, Martha D. Yow and Antolin M. Llorente and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Daniel E. Noyola

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel E. Noyola Mexico 26 1.7k 819 333 326 274 107 2.3k
Niranjan Bhat United States 22 1.1k 0.6× 773 0.9× 340 1.0× 187 0.6× 114 0.4× 55 2.2k
Ellen G. Chadwick United States 29 804 0.5× 1.3k 1.6× 164 0.5× 192 0.6× 202 0.7× 119 2.6k
Karina Butler Ireland 29 975 0.6× 1.4k 1.7× 187 0.6× 135 0.4× 199 0.7× 108 2.6k
Annemarie M. C. van Rossum Netherlands 32 1.7k 1.0× 844 1.0× 247 0.7× 234 0.7× 191 0.7× 93 2.8k
Nico G. Hartwig Netherlands 29 1.0k 0.6× 1.1k 1.3× 461 1.4× 159 0.5× 106 0.4× 69 2.5k
Jeanne A. Jordan United States 29 1.3k 0.7× 829 1.0× 90 0.3× 196 0.6× 351 1.3× 78 2.8k
D Carrington United Kingdom 26 1.5k 0.9× 554 0.7× 512 1.5× 191 0.6× 141 0.5× 73 3.0k
Tessa Goetghebuer Belgium 24 819 0.5× 748 0.9× 683 2.1× 193 0.6× 150 0.5× 53 2.0k
Narayanan Parameswaran India 24 848 0.5× 1.2k 1.4× 180 0.5× 116 0.4× 114 0.4× 151 2.0k
Mirjana Nesin United States 27 745 0.4× 489 0.6× 266 0.8× 316 1.0× 274 1.0× 54 1.8k

Countries citing papers authored by Daniel E. Noyola

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Noyola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Noyola. 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 Daniel E. Noyola. The network helps show where Daniel E. Noyola may publish in the future.

Co-authorship network of co-authors of Daniel E. Noyola

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Noyola. A scholar is included among the top collaborators of Daniel E. Noyola 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 Daniel E. Noyola. Daniel E. Noyola 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.
2.
Wong‐Chew, Rosa María, et al.. (2025). Genotypic Characterization of Human Respiratory Syncytial Viruses Detected in Mexico Between 2021 and 2024. Viruses. 17(5). 651–651.
3.
Martínez‐Gamboa, Areli, María Fernanda González-Lara, Luis Esaú López-Jácome, et al.. (2025). Deep learning for the identification of Candida spp. directly from blood culture gram stains from candidemia patients. Medical Mycology. 63(11).
4.
Noyola, Daniel E., et al.. (2025). Respiratory Infant Mortality Rate by Month of Birth in Mexico. Epidemiologia. 6(4). 83–83.
5.
Noyola, Daniel E., et al.. (2024). Respiratory Syncytial Virus and Other Respiratory Viruses in Hospitalized Infants During the 2023–2024 Winter Season in Mexico. Viruses. 16(12). 1917–1917. 5 indexed citations
6.
7.
Galindo‐Fraga, Arturo, Ana A. Ortiz‐Hernández, Ana M. Ortega‐Villa, et al.. (2024). Prospective cohort study of patient demographics, viral agents, seasonality, and outcomes of influenza-like illness in Mexico in the late H1N1-pandemic and post-pandemic years (2010-2014). IJID Regions. 12. 100394–100394.
8.
Noyola, Daniel E., et al.. (2024). Increased Incidence of Rhinovirus Pneumonia in Children During the COVID‐19 Pandemic in Mexico. Advances in Virology. 2024(1). 8841838–8841838. 3 indexed citations
9.
Noyola, Daniel E., et al.. (2022). Global Extension and Predominance of Human Metapneumovirus A2 Genotype with Partial G Gene Duplication. Viruses. 14(5). 1058–1058. 9 indexed citations
10.
Bose, Michael E., Susmita Shrivastava, Jie He, et al.. (2019). Sequencing and analysis of globally obtained human parainfluenza viruses 1 and 3 genomes. PLoS ONE. 14(7). e0220057–e0220057. 15 indexed citations
11.
Argüello, J. Rafael, et al.. (2019). Mexican HIV-1 Protease Sequence Diversity. AIDS Research and Human Retroviruses. 36(2). 161–166. 1 indexed citations
12.
Argüello, J. Rafael, et al.. (2015). Molecular Characterization of Mexican HIV-1 Vif Sequences. AIDS Research and Human Retroviruses. 32(3). 290–295. 5 indexed citations
13.
Monsiváis‐Urenda, Adriana, et al.. (2015). Effects of cytomegalovirus infection in human neural precursor cells depend on their differentiation state. Journal of NeuroVirology. 21(4). 346–357. 13 indexed citations
14.
Comas‐García, Andreu, et al.. (2010). Mortality attributable to pandemic influenza A (H1N1) 2009 in San Luis Potosí, Mexico. Influenza and Other Respiratory Viruses. 5(2). 76–82. 10 indexed citations
15.
Godoy-Lozano, Elizabeth Ernestina, et al.. (2010). Pandemic influenza A(H1N1) 2009 and respiratory syncytial virus associated hospitalizations. Journal of Infection. 61(5). 382–390. 16 indexed citations
16.
Noyola, Daniel E., et al.. (2007). Infecciones por metapneumovirus humano en pacientes pediátricos. 20(79). 74–79. 1 indexed citations
17.
Noyola, Daniel E., et al.. (2007). Asociación del índice de resistencia a la insulina con niveles de cortisol y medidas antropométricas por género de niños mexicanos en edad escolar. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 32(4). 126–133.
18.
Noyola, Daniel E., et al.. (2006). Seroprevalencia de sífilis en mujeres embarazadas en San Luis Potosí. Salud Pública de México. 48(2). 151–154. 10 indexed citations
19.
Noyola, Daniel E., et al.. (2004). Viral etiology of lower respiratory tract infections in hospitalized children in Mexico. The Pediatric Infectious Disease Journal. 23(2). 118–123. 40 indexed citations
20.
Fernández, Marisol, Daniel E. Noyola, Susan Rossmann, & Morven S. Edwards. (1999). Cutaneous phaeohyphomycosis caused by Curvularia lunata and a review of Curvularia infections in pediatrics. The Pediatric Infectious Disease Journal. 18(8). 727–731. 29 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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