Chaeshin Chu

603 citations
49 papers · 458 · h-index 12

Impact in

Papers in

    • Viral Infections and Vectors 9
    • HIV/AIDS Research and Interventions 4
    • Viral Infections and Outbreaks Research 4
    • Influenza Virus Research Studies 7

Chaeshin Chu

46 papers receiving 431 citations

Peers

Chaeshin Chu
Comparison fields: 5 of 92
  • Modeling and Simulation 119
  • Infectious Diseases 150
  • Parasitology 35
  • Public Health, Environmental and Occupational Health 121
  • Virology 13
Replace Isobel M. Blake with:
Isobel M. Blake United Kingdom
Russell J. Brooke Netherlands
Gaëtan Texier France
Patrick O’Connor United States
Huaxiang Rao China
Thomas Obadia France
Luciana Lobato Cardim Brazil
Jean-Baptiste Meynard France
Yongjua Laosiritaworn Thailand
Birgit Nikolay United States
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Citations per field
00.5×4.3×
Isobel M. Blake · 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 201680
2 201338
3 201238
4 201326
5 202022
6 200921
7 201319
8 201217
9 201117
10 200913
11 200713
12 201312
13 201111
14 20119
15 20139
16 20129
17 20129
18 20069
19 20119
20 20118

About Chaeshin Chu

Chaeshin Chu is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Emergency Medical Services, having authored 49 papers that have together received 458 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Influenza Virus Research Studies (7 papers), Animal Disease Management and Epidemiology (5 papers), COVID-19 epidemiological studies (4 papers), HIV/AIDS Research and Interventions (4 papers), Disaster Response and Management (4 papers), Mosquito-borne diseases and control (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (119 citations), Infectious Diseases (150 citations), Parasitology (35 citations), Public Health, Environmental and Occupational Health (121 citations) and Virology (13 citations). Chaeshin Chu has collaborated with scholars based in South Korea, Hungary and Philippines. Frequent co-authors include Hae-Wol Cho, Sunmi ‍Lee, Yunhwan Kim, 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, BMC Public Health, AIDS Research and Human Retroviruses 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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