Daniel Singer

11 papers and 884 indexed citations i.

About

Daniel Singer is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Singer has authored 11 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Singer’s work include COVID-19 epidemiological studies (5 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Daniel Singer is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Daniel Singer collaborates with scholars based in United States, Kazakhstan and Kyrgyzstan. Daniel Singer's co-authors include Brad J. Biggerstaff, Michel L. Bunning, Edward B. Hayes, Farzad Mostashari, Paul Kitsutani, Michael J. Cooper, Grant L. Campbell, Denis Nash, Alison J. Johnson and Marcelle Layton and has published in prestigious journals such as The Lancet, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Daniel Singer i

Fields of papers citing papers by Daniel Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Singer

Since Specialization
Citations

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

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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2025