Chaeshin Chu

597 citations
49 papers · 443 · h-index 12

Impact in

Papers in

Chaeshin Chu

45 papers receiving 416 citations

Peers

Chaeshin Chu
Comparison fields: 5 of 99
  • Modeling and Simulation 123
  • Infectious Diseases 179
  • Parasitology 38
  • Public Health, Environmental and Occupational Health 129
  • Virology 19
Replace Gaëtan Texier with:
Gaëtan Texier France
Huaxiang Rao China
Jean-Baptiste Meynard France
Thomas Obadia France
Ross M. Boyce United States
Charin Modchang Thailand
Rubina Imtiaz United States
Emilia Lupulescu Romania
Changhong Yang China
Laurent Toubiana France
Chaeshin Chu relative to Gaëtan Texier France Gaëtan Texier's profile →
Citations per field
00.5×3.2×
Gaëtan Texier · 1×
Citations per year

Countries citing papers authored by Chaeshin Chu

Since Specialization
Citations

This map shows the geographic impact of Chaeshin Chu'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 Chaeshin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaeshin Chu more than expected).

Fields of papers citing papers by Chaeshin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaeshin Chu. 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 Chaeshin Chu. The network helps show where Chaeshin Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chaeshin Chu, 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 Chaeshin Chu Line = papers co-authored together Chaeshin Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201338
3 201236
4 201326
5 200921
6 202020
7 201319
8 201217
9 201115
10 200913
11 200712
12 201111
13 201311
14 20129
15 20119
16 20129
17 20139
18 20119
19 20069
20 20118

About Chaeshin Chu

Chaeshin Chu is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Agronomy and Crop Science and Sociology and Political Science, having authored 49 papers that have together received 443 indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (8 papers), COVID-19 epidemiological studies (7 papers), Mosquito-borne diseases and control (7 papers), HIV/AIDS Research and Interventions (6 papers), HIV Research and Treatment (5 papers) and Viral Infections and Outbreaks Research (5 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Infectious Diseases (179 citations), Parasitology (38 citations), Public Health, Environmental and Occupational Health (129 citations) and Virology (19 citations). Chaeshin Chu has collaborated with scholars based in South Korea, Taiwan and Hungary. Frequent co-authors include Hae-Wol Cho, Yunhwan Kim, Sunmi ‍Lee, Mee‐Kyung Kee, Sung Soon Kim, Nayoung Kim, Yongkuk Kim, Eun Jung Hong, Ok Park and Sang Yun Cho. Their work appears in journals such as Osong Public Health and Research Perspectives, Journal of Korean Medical Science, AIDS Research and Human Retroviruses, BMC Public Health and Journal of Preventive Medicine and Public Health.

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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