Dennis L. Chao
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 26
- Endocrinology top 2%
- Vibrio bacteria research studies 11
- Infectious Diseases top 2%
- Epidemiology top 2%
- Influenza Virus Research Studies 14
- Data-Driven Disease Surveillance 4
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- Mosquito-borne diseases and control 5
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- Child Nutrition and Water Access 5
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
- Co-authors
- Ira M. LonginiM. Elizabeth HalloranNicole E. BastaStephanie ForrestAna Pastore y PionttiLuca RossiMarcelo Ferreira da Costa GomesAlessandro Vespignani
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Dennis L. Chao
59 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 1.5k
- Endocrinology 242
- Infectious Diseases 771
- Epidemiology 1.1k
- Public Health, Environmental and Occupational Health 543
Countries citing papers authored by Dennis L. Chao
This map shows the geographic impact of Dennis L. Chao'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 Dennis L. Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis L. Chao more than expected).
Fields of papers citing papers by Dennis L. Chao
This network shows the impact of papers produced by Dennis L. Chao. 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 Dennis L. Chao. The network helps show where Dennis L. Chao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dennis L. Chao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 47 | |
| 5 | 2020 | 39 | |
| 6 | 2019 | 53 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 10 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 129 | |
| 12 | 2013 | 20 | |
| 13 | 2012 | 5 | |
| 14 | 2011 | 60 | |
| 15 | 2011 | 22 | |
| 16 | 2010 | 9 | |
| 17 | 2009 | 81 | |
| 18 | 2009 | 124 | |
| 19 | 2008 | 28 | |
| 20 | Chemotherapy of head louse (Pediculus humanus capitis) infestation gamma benzene hexachloride (gamma-BHC) among school children in Szu-Hu District, Yunlin County, Central West Taiwan. | 1991 | 9 |
About Dennis L. Chao
Dennis L. Chao is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 61 papers that have together received 3.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (14 papers), Vibrio bacteria research studies (11 papers), Child Nutrition and Water Access (5 papers), Mosquito-borne diseases and control (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Endocrinology (242 citations) and Infectious Diseases (771 citations). Dennis L. Chao has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Ira M. Longini, M. Elizabeth Halloran, Nicole E. Basta, Stephanie Forrest, Ana Pastore y Piontti, Luca Rossi, Marcelo Ferreira da Costa Gomes, Alessandro Vespignani, Laura Matrajt and Eben Kenah. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.