Yi‐Ling Chou
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 6
- Insect and Arachnid Ecology and Behavior 1
-
- Synthesis and properties of polymers 1
- Polymer Foaming and Composites 1
- Polymer composites and self-healing 1
- Co-authors
- Andrew C. Heath (2 shared papers)Pamela A. F. Madden (2 shared papers)Arpana Agrawal (2 shared papers)Scott D. Gordon (1 shared paper)Alison Goate (1 shared paper)Kathleen Keenan Bucholz (1 shared paper)Chin‐Wen Chen (3 shared papers)Michele L. Pergadia (1 shared paper)
- Journals
- Biological Psychiatry (2 papers)Journal of Experimental Biology (1 paper)Brain and Behavior (1 paper)Drug and Alcohol Dependence (1 paper)Molecular Psychiatry (1 paper)
- Partner nations
- United StatesTaiwanFinland
In The Last Decade
Yi‐Ling Chou
12 papers receiving 885 citations
Yi‐Ling Chou's Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 372
- Biological Psychiatry 22
- Pathology and Forensic Medicine 150
- Cellular and Molecular Neuroscience 111
- Epidemiology 157
Countries citing papers authored by Yi‐Ling Chou
This map shows the geographic impact of Yi‐Ling 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 Yi‐Ling Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Ling Chou more than expected).
Fields of papers citing papers by Yi‐Ling Chou
This network shows the impact of papers produced by Yi‐Ling 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 Yi‐Ling Chou. The network helps show where Yi‐Ling Chou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Ling Chou, 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 | Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders Hit paper breakdown → | 2018 | 457 |
| 2 | 2011 | 163 | |
| 3 | 2019 | 88 | |
| 4 | 2018 | 56 | |
| 5 | 2020 | 41 | |
| 6 | 2011 | 35 | |
| 7 | 2022 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2016 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 6 |
About Yi‐Ling Chou
Yi‐Ling Chou is a scholar working on Genetics, Polymers and Plastics, Process Chemistry and Technology, Physiology and Waste Management and Disposal, having authored 12 papers that have together received 910 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Smoking Behavior and Cessation (2 papers), Epigenetics and DNA Methylation (2 papers), Insect and Arachnid Ecology and Behavior (1 paper), Synthesis and properties of polymers (1 paper), Polymer Foaming and Composites (1 paper), Recycling and Waste Management Techniques (1 paper) and Polymer composites and self-healing (1 paper). The work is most often cited by research in Genetics (372 citations), Biological Psychiatry (22 citations), Pathology and Forensic Medicine (150 citations), Cellular and Molecular Neuroscience (111 citations) and Epidemiology (157 citations). Yi‐Ling Chou has collaborated with scholars based in United States, Taiwan and Finland. Frequent co-authors include Andrew C. Heath, Pamela A. F. Madden, Arpana Agrawal, Scott D. Gordon, Alison Goate, Kathleen Keenan Bucholz, Chin‐Wen Chen, Michele L. Pergadia, Andrew J. Schrage and Elliot C. Nelson. Their work appears in journals such as Biological Psychiatry, Journal of Experimental Biology, Brain and Behavior, Drug and Alcohol Dependence and Molecular Psychiatry.
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.