Cheng‐Yen Kao
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 26
- Endocrinology top 2%
- Escherichia coli research studies 11
- Small Animals top 5%
- Gastroenterology top 10%
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- Helicobacter pylori-related gastroenterology studies 16
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- Urinary Tract Infections Management 9
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- Antimicrobial Resistance in Staphylococcus 8
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- Gut microbiota and health 8
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- Antibiotics Pharmacokinetics and Efficacy 8
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- Bacteriophages and microbial interactions 7
- Co-authors
- Jiunn-Jong WuBor‐Shyang SheuYi‐Hsien HsiehChih‐Hung WangWei‐Hung LinJing-Jou YanChing‐Hao TengChin‐Chung Tseng
- Partner nations
- TaiwanUnited StatesPhilippines
In The Last Decade
Cheng‐Yen Kao
72 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Medicine 358
- Endocrinology 210
- Applied Microbiology and Biotechnology 38
- Small Animals 132
- Gastroenterology 65
Countries citing papers authored by Cheng‐Yen Kao
This map shows the geographic impact of Cheng‐Yen Kao'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 Cheng‐Yen Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Yen Kao more than expected).
Fields of papers citing papers by Cheng‐Yen Kao
This network shows the impact of papers produced by Cheng‐Yen Kao. 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 Cheng‐Yen Kao. The network helps show where Cheng‐Yen Kao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cheng‐Yen Kao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 9 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 27 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 12 | |
| 18 | 2017 | 16 | |
| 19 | 2014 | 40 | |
| 20 | Using genetic algorithms to solve multiple sequence alignments | 2000 | 14 |
About Cheng‐Yen Kao
Cheng‐Yen Kao is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Helicobacter pylori-related gastroenterology studies (16 papers), Escherichia coli research studies (11 papers), Urinary Tract Infections Management (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Gut microbiota and health (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Molecular Medicine (358 citations), Endocrinology (210 citations) and Applied Microbiology and Biotechnology (38 citations). Cheng‐Yen Kao has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Jiunn-Jong Wu, Bor‐Shyang Sheu, Yi‐Hsien Hsieh, Chih‐Hung Wang, Wei‐Hung Lin, Jing-Jou Yan, Ching‐Hao Teng, Chin‐Chung Tseng, Jinn‐Moon Yang and Jiunn‐Jong Wu. Their work appears in journals such as Journal of Biological Chemistry, Gut and Scientific Reports.
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.