Yen‐Feng Chiu
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 7
- Geriatrics and Gerontology top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 21
- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic and phenotypic traits in livestock 8
- Physiology top 10%
- Diet and metabolism studies 6
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- Liver Disease Diagnosis and Treatment 7
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- Pancreatic and Hepatic Oncology Research 6
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- Epigenetics and DNA Methylation 5
- Co-authors
- Chao A. HsiungKung‐Yee LiangJ. Raymond DePauloJames B. PotashMelvin G. McInnisDean F. MacKinnonSylvia G. SimpsonLee‐Ming Chuang
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Yen‐Feng Chiu
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Psychiatry and Mental health 282
- Geriatrics and Gerontology 58
- Genetics 375
- Physiology 323
- Neuropsychology and Physiological Psychology 16
Countries citing papers authored by Yen‐Feng Chiu
This map shows the geographic impact of Yen‐Feng Chiu'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 Yen‐Feng Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Feng Chiu more than expected).
Fields of papers citing papers by Yen‐Feng Chiu
This network shows the impact of papers produced by Yen‐Feng Chiu. 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 Yen‐Feng Chiu. The network helps show where Yen‐Feng Chiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yen‐Feng Chiu, 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 | 2022 | 4 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 3 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 40 | |
| 8 | 2017 | 16 | |
| 9 | 2015 | 22 | |
| 10 | 2014 | 64 | |
| 11 | 2012 | 19 | |
| 12 | 2012 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2007 | 1 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 25 | |
| 17 | 2004 | 35 | |
| 18 | 2001 | 21 | |
| 19 | 2000 | 86 | |
| 20 | 1999 | 67 |
About Yen‐Feng Chiu
Yen‐Feng Chiu is a scholar working on Neuropsychology and Physiological Psychology, Genetics and Geriatrics and Gerontology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic and phenotypic traits in livestock (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Dementia and Cognitive Impairment Research (7 papers), Diet and metabolism studies (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Psychiatry and Mental health (282 citations), Geriatrics and Gerontology (58 citations) and Genetics (375 citations). Yen‐Feng Chiu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chao A. Hsiung, Kung‐Yee Liang, J. Raymond DePaulo, James B. Potash, Melvin G. McInnis, Dean F. MacKinnon, Sylvia G. Simpson, Lee‐Ming Chuang, Terri H. Beaty and Yu‐Wen Tien. Their work appears in journals such as Genetic Epidemiology, PLoS ONE, Scientific Reports, American Journal of Psychiatry and International Psychogeriatrics.
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.