Daniel A. Toledo-Teixeira

2.7k total citations
16 papers, 162 citations indexed

About

Daniel A. Toledo-Teixeira is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Daniel A. Toledo-Teixeira has authored 16 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Modeling and Simulation. Recurrent topics in Daniel A. Toledo-Teixeira's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Viral Infections and Vectors (4 papers). Daniel A. Toledo-Teixeira is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Viral Infections and Vectors (4 papers). Daniel A. Toledo-Teixeira collaborates with scholars based in Brazil, Switzerland and United Kingdom. Daniel A. Toledo-Teixeira's co-authors include Mohamed Abbas, Stephan Harbarth, Didier Pittet, Walter Zingg, Rafael Fantelli Stelini, Ubirajara Ferreira, Athanase Billis, Marie‐Noëlle Chraïti, Niccolò Buetti and Valérie Sauvan and has published in prestigious journals such as Frontiers in Microbiology, Emerging infectious diseases and JAMA Internal Medicine.

In The Last Decade

Daniel A. Toledo-Teixeira

15 papers receiving 158 citations

Peers

Daniel A. Toledo-Teixeira

PRM

PHEOH

EMS

RHEUM

Petrick Periyasamy Malaysia

Philipp de Leuw Germany

Jolene Oon Singapore

Deanette Pang Singapore

Christopher Sabo Yilgwan Nigeria

Lisbeth Marianne Thøstesen Denmark

Jean Turc France

Hannah Mitchell United Kingdom

Andrew Catchpole United Kingdom

Yara‐Natalie Abo Australia

Petrick Periyasamy Malaysia

Daniel A. Toledo-Teixeira

63 ×0.9

17 ×0.4

PRM

35 ×1.1

PHEOH

22 ×0.7

EMS

8 ×0.4

RHEUM

Citations per year, relative to Daniel A. Toledo-Teixeira Daniel A. Toledo-Teixeira (= 1×) peers Petrick Periyasamy

Countries citing papers authored by Daniel A. Toledo-Teixeira

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Toledo-Teixeira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Toledo-Teixeira. 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 A. Toledo-Teixeira. The network helps show where Daniel A. Toledo-Teixeira may publish in the future.

Co-authorship network of co-authors of Daniel A. Toledo-Teixeira

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

All Works

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16 of 16 papers shown

Agostinho, Américo, Daniel A. Toledo-Teixeira, Davide Giovanni Bosetti, et al.. (2025). Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models. npj Digital Medicine. 8(1). 617–617.

Forato, Julia, Ingra Morales Claro, Mariene R. Amorim, et al.. (2024). Molecular Epidemiology of Mayaro Virus among Febrile Patients, Roraima State, Brazil, 2018–2021. Emerging infectious diseases. 30(5). 1013–1016. 5 indexed citations

Parise, Pierina Lorencini, et al.. (2023). Heterogeneity of humoral response patterns in mildly symptomatic, non-hospitalized COVID-19 patients: A one-year longitudinal study. Experimental Biology and Medicine. 248(10). 874–882. 3 indexed citations

Toledo-Teixeira, Daniel A., Pierina Lorencini Parise, Fabiana Granja, et al.. (2023). Antibody cross-reactivity and evidence of susceptibility to emerging Flaviviruses in the dengue-endemic Brazilian Amazon. International Journal of Infectious Diseases. 129. 142–151. 4 indexed citations

Parise, Pierina Lorencini, Daniel A. Toledo-Teixeira, Ricardo T. Gazzinelli, et al.. (2022). Previous Infection with SARS-CoV-2 Correlates with Increased Protective Humoral Responses after a Single Dose of an Inactivated COVID-19 Vaccine. Viruses. 14(3). 510–510. 6 indexed citations

Amorim, Mariene R., William Marciel de Souza, Luciana Souto Mofatto, et al.. (2022). Clearance of Persistent SARS-CoV-2 RNA Detection in a NFκB-Deficient Patient in Association with the Ingestion of Human Breast Milk: A Case Report. Viruses. 14(5). 1042–1042. 2 indexed citations

Price, James, Robert L. Peach, Mohamed Abbas, et al.. (2022). Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study. The Lancet Digital Health. 4(8). e573–e583. 12 indexed citations

Buetti, Niccolò, Mohamed Abbas, Didier Pittet, et al.. (2022). Lower risk of peripheral venous catheter-related bloodstream infection by hand insertion. Antimicrobial Resistance and Infection Control. 11(1). 80–80. 7 indexed citations

Reny, Jean‐Luc, Jérôme Stirnemann, Olivier Grosgurin, et al.. (2022). Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events. BMC Medical Informatics and Decision Making. 22(1). 146–146. 7 indexed citations

10.

Zambalde, Érika Pereira, Isadora Carolina Betim Pavan, Ana Paula Morelli, et al.. (2022). Characterization of the Interaction Between SARS-CoV-2 Membrane Protein (M) and Proliferating Cell Nuclear Antigen (PCNA) as a Potential Therapeutic Target. Frontiers in Cellular and Infection Microbiology. 12. 8 indexed citations

11.

Abbas, Mohamed, Tomás Robalo Nunes, Anne Cori, et al.. (2021). Explosive nosocomial outbreak of SARS-CoV-2 in a rehabilitation clinic: the limits of genomics for outbreak reconstruction. Journal of Hospital Infection. 117. 124–134. 24 indexed citations

12.

Abbas, Mohamed, Tomás Robalo Nunes, Samuel Cordey, et al.. (2021). Explosive Nosocomial Outbreak of SARS-CoV-2 in a Rehabilitation Clinic: The Limits of Genomics for Outbreak Reconstruction. SSRN Electronic Journal. 3 indexed citations

13.

Buetti, Niccolò, Mohamed Abbas, Didier Pittet, et al.. (2021). Comparison of Routine Replacement With Clinically Indicated Replacement of Peripheral Intravenous Catheters. JAMA Internal Medicine. 181(11). 1471–1471. 31 indexed citations

14.

Amorim, Mariene R., Marjorie Cornejo Pontelli, Gabriela Fabiano de Souza, et al.. (2020). Oropouche Virus Infects, Persists and Induces IFN Response in Human Peripheral Blood Mononuclear Cells as Identified by RNA PrimeFlow™ and qRT-PCR Assays. Viruses. 12(7). 785–785. 16 indexed citations

15.

Guida, José Paulo de Siqueira, Pierina Lorencini Parise, Daniel A. Toledo-Teixeira, et al.. (2020). Adequate Placental Sampling for the Diagnosis and Characterization of Placental Infection by Zika Virus. Frontiers in Microbiology. 11. 112–112. 12 indexed citations

16.

Billis, Athanase, et al.. (2007). Seminal vesicle invasion in radical prostatectomies: Which is the most common route of invasion?. International Urology and Nephrology. 39(4). 1097–1102. 22 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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