Cheng–Yuan Kao
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 6
- Immunology top 5%
- Immune Response and Inflammation 6
- Immune Cell Function and Interaction 3
- Microbiology top 5%
- Antimicrobial Peptides and Activities 4
- Biological Psychiatry top 10%
- Emergency Medical Services top 5%
- Pediatric health and respiratory diseases 3
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- Gut microbiota and health 9
- Ubiquitin and proteasome pathways 3
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Reen WuPhilip ThaiFei HuangShinichiro WachiChristy KimRaffi V. AroianRichart W. HarperCherng–Shyang Chang
- Cited by
- AgingImmunologyMicrobiology
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Cheng–Yuan Kao
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Aging 213
- Immunology 781
- Microbiology 149
- Biological Psychiatry 40
- Emergency Medical Services 101
Countries citing papers authored by Cheng–Yuan Kao
This map shows the geographic impact of Cheng–Yuan 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–Yuan 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–Yuan Kao more than expected).
Fields of papers citing papers by Cheng–Yuan Kao
This network shows the impact of papers produced by Cheng–Yuan 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–Yuan Kao. The network helps show where Cheng–Yuan Kao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cheng–Yuan 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 107 | |
| 10 | 2016 | 46 | |
| 11 | 2015 | 35 | |
| 12 | 2015 | 4 | |
| 13 | 2013 | 20 | |
| 14 | 2011 | 133 | |
| 15 | 2010 | 49 | |
| 16 | 2009 | 84 | |
| 17 | 2008 | 65 | |
| 18 | 2005 | 202 | |
| 19 | 2005 | 154 | |
| 20 | 2000 | 23 |
About Cheng–Yuan Kao
Cheng–Yuan Kao is a scholar working on Aging, Microbiology, Immunology, Emergency Medical Services and Biological Psychiatry, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gut microbiota and health (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Immune Response and Inflammation (6 papers), Antimicrobial Peptides and Activities (4 papers), Pediatric health and respiratory diseases (3 papers), Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Aging (213 citations), Immunology (781 citations), Microbiology (149 citations), Biological Psychiatry (40 citations) and Emergency Medical Services (101 citations). Cheng–Yuan Kao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Reen Wu, Philip Thai, Fei Huang, Shinichiro Wachi, Christy Kim, Raffi V. Aroian, Richart W. Harper, Cherng–Shyang Chang, Yin Chen and Ferdinand C. O. Los. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, iScience, Cell Death and Disease and International Journal of Molecular Sciences.
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.