Dkm Ip

96 papers and 4.6k indexed citations i.

About

Dkm Ip is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Dkm Ip has authored 96 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Epidemiology, 30 papers in Modeling and Simulation and 21 papers in Infectious Diseases. Recurrent topics in Dkm Ip’s work include Influenza Virus Research Studies (66 papers), Respiratory viral infections research (46 papers) and COVID-19 epidemiological studies (30 papers). Dkm Ip is often cited by papers focused on Influenza Virus Research Studies (66 papers), Respiratory viral infections research (46 papers) and COVID-19 epidemiological studies (30 papers). Dkm Ip collaborates with scholars based in Hong Kong, United States and France. Dkm Ip's co-authors include Benjamin J. Cowling, GM Leung, Malik Peiris, Kwok‐Hung Chan, Vicky J. Fang, Nancy Leung, Daniel K. W. Chu, Eunice Y. C. Shiu, WH Seto and Yuguo Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Dkm Ip i

Fields of papers citing papers by Dkm Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dkm Ip

Since Specialization
Citations

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