Dkm Ip
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 69
- Influenza Virus Research Studies 63
- Respiratory viral infections research 21
- Data-Driven Disease Surveillance 4
-
- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Benjamin J. Cowling (88 shared papers)GM Leung (51 shared papers)Malik Peiris (48 shared papers)Kwok‐Hung Chan (11 shared papers)Vicky J. Fang (41 shared papers)Nancy Leung (14 shared papers)Daniel K. W. Chu (10 shared papers)WH Seto (6 shared papers)
- Journals
- The Journal of Infectious Diseases (16 papers)Clinical Infectious Diseases (11 papers)PLoS ONE (6 papers)Nature Communications (5 papers)Epidemiology and Infection (5 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Dkm Ip
103 papers receiving 4.9k citations
Dkm Ip's Hit Papers
Peers
Comparison fields: 5 of 173
- Modeling and Simulation 1.0k
- Epidemiology 2.0k
- General Dentistry 94
- Infectious Diseases 961
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Dkm Ip
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).
Fields of papers citing papers by Dkm Ip
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.
Co-authors
The 25 scholars most cited alongside Dkm Ip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Respiratory virus shedding in exhaled breath and efficacy of face masks Hit paper breakdown → | 2020 | 1589 |
| 2 | 2013 | 258 | |
| 3 | 2010 | 223 | |
| 4 | 2010 | 193 | |
| 5 | 2010 | 192 | |
| 6 | 2012 | 133 | |
| 7 | 2016 | 130 | |
| 8 | 2010 | 119 | |
| 9 | 2015 | 115 | |
| 10 | 2012 | 111 | |
| 11 | 2019 | 101 | |
| 12 | 2014 | 95 | |
| 13 | 2010 | 94 | |
| 14 | 2013 | 83 | |
| 15 | 2015 | 81 | |
| 16 | 2013 | 70 | |
| 17 | 2019 | 69 | |
| 18 | 2015 | 67 | |
| 19 | 2013 | 67 | |
| 20 | 2012 | 60 |
About Dkm Ip
Dkm Ip is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Pulmonary and Respiratory Medicine and Health, having authored 108 papers that have together received 5.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (63 papers), Respiratory viral infections research (21 papers), COVID-19 epidemiological studies (13 papers), Infection Control and Ventilation (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Vaccine Coverage and Hesitancy (4 papers), Data-Driven Disease Surveillance (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Epidemiology (2.0k citations), General Dentistry (94 citations), Infectious Diseases (961 citations) and Pulmonary and Respiratory Medicine (1.2k citations). Dkm Ip has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Benjamin J. Cowling, GM Leung, Malik Peiris, Kwok‐Hung Chan, Vicky J. Fang, Nancy Leung, Daniel K. W. Chu, WH Seto, Eunice Y. C. Shiu and Yuguo Li. Their work appears in journals such as The Journal of Infectious Diseases, Clinical Infectious Diseases, PLoS ONE, Nature Communications and Epidemiology and Infection.
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.