Chia-Hui Chou

543 citations
24 papers · 377 · h-index 12

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Antifungal resistance and susceptibility
  • Microbiology top 10%
    • Bacterial Infections and Vaccines

Papers in

Chia-Hui Chou

24 papers receiving 367 citations

Peers

Chia-Hui Chou
Comparison fields: 5 of 64
  • Infectious Diseases 122
  • Microbiology 37
  • Endocrinology 30
  • Molecular Medicine 21
  • Applied Microbiology and Biotechnology 7
Replace Daiki Ozawa with:
Daiki Ozawa Japan
Hacer Aktürk Türkiye
S. Nguyen France
Derya Seyman Türkiye
Mitzi Nisbet New Zealand
F. Bert France
A. Sewall United States
María Ruiz‐Ruigómez Spain
Nathalie Jazmati Germany
Marie‐Christine Nicolle France
Chia-Hui Chou relative to Daiki Ozawa Japan Daiki Ozawa's profile →
Citations per field
00.5×2.6×
Daiki Ozawa · 1×
Citations per year

Countries citing papers authored by Chia-Hui Chou

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hui Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hui Chou. 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 Chia-Hui Chou. The network helps show where Chia-Hui Chou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201264
2 201150
3 201048
4 201739
5 201329
6 202320
7 201218
8 202018
9 201016
10 201414
11 202313
12 202112
13 20148
14 20225
15 20144
16 20224
17 20243
18 20233
19 20243
20 20142

About Chia-Hui Chou

Chia-Hui Chou is a scholar working on Infectious Diseases, Epidemiology, Surgery, Public Health, Environmental and Occupational Health and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (3 papers), Infectious Diseases and Tuberculosis (2 papers), Cervical Cancer and HPV Research (2 papers), Simulation-Based Education in Healthcare (1 paper), Streptococcal Infections and Treatments (1 paper), Bacterial Infections and Vaccines (1 paper), Fungal Infections and Studies (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Infectious Diseases (122 citations), Microbiology (37 citations), Endocrinology (30 citations), Molecular Medicine (21 citations) and Applied Microbiology and Biotechnology (7 citations). Chia-Hui Chou has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Mao‐Wang Ho, Po‐Chang Lin, Cheng‐Mao Ho, Jen-Hsien Wang, Shu‐Ling Chen, Curtis J. Donskey, Michelle M. Nerandzic, Lucy A. Jury, Min‐Chi Lu and Hsien‐Te Chen. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Clinical Infectious Diseases, BMC Women s Health, Nurse Education in Practice and Infection.

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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