Sek Mardy
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 19
- Respiratory viral infections research 12
- Influenza Virus Research Studies 12
- Pneumonia and Respiratory Infections 2
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- Viral gastroenteritis research and epidemiology 6
- Co-authors
- Philippe Buchy (21 shared papers)Sirenda Vong (11 shared papers)Davun Holl (3 shared papers)Vincent Deubel (6 shared papers)Monica Naughtin (6 shared papers)Sok Touch (5 shared papers)Sovann Ly (6 shared papers)Sylvie van der Werf (2 shared papers)
In The Last Decade
Sek Mardy
22 papers receiving 727 citations
Peers
Comparison fields: 5 of 56
- Epidemiology 644
- Agronomy and Crop Science 165
- Infectious Diseases 253
- Modeling and Simulation 18
- Animal Science and Zoology 38
Countries citing papers authored by Sek Mardy
This map shows the geographic impact of Sek Mardy'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 Sek Mardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sek Mardy more than expected).
Fields of papers citing papers by Sek Mardy
This network shows the impact of papers produced by Sek Mardy. 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 Sek Mardy. The network helps show where Sek Mardy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sek Mardy, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 96 | |
| 2 | 2006 | 91 | |
| 3 | 2011 | 90 | |
| 4 | 2006 | 79 | |
| 5 | 2008 | 68 | |
| 6 | 2011 | 54 | |
| 7 | 2010 | 45 | |
| 8 | 2011 | 37 | |
| 9 | 2009 | 37 | |
| 10 | 2009 | 36 | |
| 11 | 2010 | 34 | |
| 12 | 2009 | 22 | |
| 13 | 2009 | 16 | |
| 14 | 2009 | 13 | |
| 15 | 2014 | 9 | |
| 16 | 2009 | 8 | |
| 17 | 2011 | 5 | |
| 18 | 2000 | 4 | |
| 19 | 2011 | 2 | |
| 20 | 2011 | 1 |
About Sek Mardy
Sek Mardy is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 749 indexed citations. Recurring topics across this work include Respiratory viral infections research (12 papers), Influenza Virus Research Studies (12 papers), Animal Disease Management and Epidemiology (7 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (2 papers), Pneumonia and Respiratory Infections (2 papers), Viral Infections and Immunology Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Epidemiology (644 citations), Agronomy and Crop Science (165 citations), Infectious Diseases (253 citations), Modeling and Simulation (18 citations) and Animal Science and Zoology (38 citations). Sek Mardy has collaborated with scholars based in Cambodia, France and China. Frequent co-authors include Philippe Buchy, Sirenda Vong, Davun Holl, Vincent Deubel, Monica Naughtin, Sok Touch, Sovann Ly, Sylvie van der Werf, Jean‐Thierry Aubin and Sowath Ly. Their work appears in journals such as Emerging infectious diseases, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Journal of Clinical Virology and Infection Genetics and Evolution.
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.