To Song Diep

23 papers and 1.1k indexed citations i.

About

To Song Diep is a scholar working on Food Science, Epidemiology and Infectious Diseases. According to data from OpenAlex, To Song Diep has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 8 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in To Song Diep’s work include Salmonella and Campylobacter epidemiology (14 papers), Antibiotic Resistance in Bacteria (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). To Song Diep is often cited by papers focused on Salmonella and Campylobacter epidemiology (14 papers), Antibiotic Resistance in Bacteria (7 papers) and Viral gastroenteritis research and epidemiology (5 papers). To Song Diep collaborates with scholars based in Vietnam, United Kingdom and The Netherlands. To Song Diep's co-authors include John Wain, Nicholas J. White, Christopher M. Parry, Jeremy Farrar, Nguyen Thi Tuyet Hoa, Tran Tinh Hien, Vô Anh Hó, Ha Vinh, Nguyen Tran Chinh and Nicholas Day and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of To Song Diep i

Fields of papers citing papers by To Song Diep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by To Song Diep. 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 To Song Diep. The network helps show where To Song Diep may publish in the future.

Countries citing papers authored by To Song Diep

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025