Hsiao‐Han Chang
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Malaria Research and Control
- Mosquito-borne diseases and control
Papers in
-
- Malaria Research and Control 17
- Mosquito-borne diseases and control 10
- Genetics 7
- Evolution and Genetic Dynamics 5
- Genetic diversity and population structure 3
- Co-authors
- Colin J. Worby (5 shared papers)Marc Lipsitch (6 shared papers)William P. Hanage (4 shared papers)Yonatan H. Grad (3 shared papers)Daniel L. Hartl (8 shared papers)Daniel E. Neafsey (8 shared papers)Ted Cohen (2 shared papers)Sarah K. Volkman (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)BMC Public Health (3 papers)Scientific Reports (3 papers)Molecular Biology and Evolution (2 papers)Surface and Coatings Technology (2 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Hsiao‐Han Chang
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 149
- Public Health, Environmental and Occupational Health 676
- Parasitology 106
- Molecular Medicine 79
- Applied Microbiology and Biotechnology 26
Countries citing papers authored by Hsiao‐Han Chang
This map shows the geographic impact of Hsiao‐Han Chang'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 Hsiao‐Han Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiao‐Han Chang more than expected).
Fields of papers citing papers by Hsiao‐Han Chang
This network shows the impact of papers produced by Hsiao‐Han Chang. 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 Hsiao‐Han Chang. The network helps show where Hsiao‐Han Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiao‐Han Chang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 250 | |
| 2 | 2015 | 178 | |
| 3 | 2015 | 106 | |
| 4 | 2015 | 87 | |
| 5 | 2012 | 85 | |
| 6 | 2013 | 75 | |
| 7 | 2017 | 71 | |
| 8 | 2015 | 69 | |
| 9 | 2014 | 59 | |
| 10 | 2018 | 58 | |
| 11 | 2016 | 56 | |
| 12 | 2013 | 54 | |
| 13 | 2021 | 44 | |
| 14 | 2012 | 43 | |
| 15 | 2021 | 41 | |
| 16 | 2014 | 35 | |
| 17 | 2016 | 33 | |
| 18 | 2014 | 28 | |
| 19 | 2016 | 15 | |
| 20 | 2022 | 14 |
About Hsiao‐Han Chang
Hsiao‐Han Chang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Molecular Biology and Infectious Diseases, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Malaria Research and Control (17 papers), Mosquito-borne diseases and control (10 papers), COVID-19 epidemiological studies (7 papers), Evolution and Genetic Dynamics (5 papers), Parasite Biology and Host Interactions (4 papers), Genetic diversity and population structure (3 papers), Aquaculture disease management and microbiota (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Modeling and Simulation (149 citations), Public Health, Environmental and Occupational Health (676 citations), Parasitology (106 citations), Molecular Medicine (79 citations) and Applied Microbiology and Biotechnology (26 citations). Hsiao‐Han Chang has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Colin J. Worby, Marc Lipsitch, William P. Hanage, Yonatan H. Grad, Daniel L. Hartl, Daniel E. Neafsey, Ted Cohen, Sarah K. Volkman, Dyann F. Wirth and Thomas O’Brien. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Public Health, Scientific Reports, Molecular Biology and Evolution and Surface and Coatings Technology.
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.