Hsiao‐Han Chang

37 papers receiving 1.4k citations

Peers

Hsiao‐Han Chang
Comparison fields: 5 of 137
  • Modeling and Simulation 174
  • Parasitology 168
  • Public Health, Environmental and Occupational Health 672
  • Molecular Medicine 91
  • Applied Microbiology and Biotechnology 31
Replace Fidisoa Rasambainarivo with:
Fidisoa Rasambainarivo United States
Hervé Chaudet France
José Lourenço United Kingdom
Ariful Islam Bangladesh
Ali A. Sultan Qatar
Ahmad Mohammad Ashshi Saudi Arabia
Sofonías K. Tessema Ethiopia
Andrew J. H. Simpson United Kingdom
Myrielle Dupont‐Rouzeyrol New Caledonia
Malavika Rajeev United States
Hsiao‐Han Chang relative to Fidisoa Rasambainarivo United States Fidisoa Rasambainarivo's profile →
Citations per field
00.5×6.3×
Fidisoa Rasambainarivo · 1×
Citations per year

Countries citing papers authored by Hsiao‐Han Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hsiao‐Han Chang Line = papers co-authored together Hsiao‐Han Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020248
2 2015177
3 2015106
4 201585
5 201284
6 201375
7 201569
8 201768
9 201459
10 201856
11 201656
12 201352
13 202144
14 201242
15 202138
16 201435
17 201633
18 201428
19 201615
20 202213

About Hsiao‐Han Chang

Hsiao‐Han Chang is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics, Modeling and Simulation and Molecular Biology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Mosquito-borne diseases and control (11 papers), COVID-19 epidemiological studies (7 papers), Parasite Biology and Host Interactions (5 papers), Evolution and Genetic Dynamics (5 papers), COVID-19 Digital Contact Tracing (3 papers), Genetic diversity and population structure (3 papers) and Titanium Alloys Microstructure and Properties (2 papers). The work is most often cited by research in Modeling and Simulation (174 citations), Parasitology (168 citations), Public Health, Environmental and Occupational Health (672 citations), Molecular Medicine (91 citations) and Applied Microbiology and Biotechnology (31 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, Ted Cohen, Daniel L. Hartl, Daniel E. Neafsey, Thomas O’Brien, Dyann F. Wirth and Sarah K. Volkman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, BMC Public Health, 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.

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