Yeda Wu
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Gastroenterology top 10%
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 6
- Forensic and Genetic Research 2
- Diabetes and associated disorders 1
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- Glaucoma and retinal disorders 2
- Co-authors
- Naomi R. Wray (4 shared papers)Enda M. Byrne (3 shared papers)Peter M. Visscher (2 shared papers)Julia Sidorenko (1 shared paper)Graham K. Murray (1 shared paper)Andrew John Mallett (1 shared paper)Zhili Zheng (1 shared paper)Jian Yang (1 shared paper)
- Journals
- Nature Communications (7 papers)Chemistry of Materials (1 paper)BMJ Open (1 paper)Forensic Science International (1 paper)Nature Genetics (1 paper)
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Yeda Wu
20 papers receiving 1.6k citations
Yeda Wu's Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 583
- Gastroenterology 38
- Experimental and Cognitive Psychology 96
- Biological Psychiatry 16
- Ophthalmology 49
Countries citing papers authored by Yeda Wu
This map shows the geographic impact of Yeda Wu'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 Yeda Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeda Wu more than expected).
Fields of papers citing papers by Yeda Wu
This network shows the impact of papers produced by Yeda Wu. 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 Yeda Wu. The network helps show where Yeda Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeda Wu, 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 | Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes Hit paper breakdown → | 2018 | 602 |
| 2 | Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals Hit paper breakdown → | 2022 | 380 |
| 3 | 2019 | 170 | |
| 4 | 2021 | 144 | |
| 5 | 2017 | 50 | |
| 6 | 2017 | 40 | |
| 7 | 2023 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2016 | 21 | |
| 10 | 2023 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2025 | 3 |
About Yeda Wu
Yeda Wu is a scholar working on Genetics, Ophthalmology, Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Effects of Exercise (2 papers), Birth, Development, and Health (2 papers), Glaucoma and retinal disorders (2 papers), Connexins and lens biology (2 papers), Forensic and Genetic Research (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Genetics (583 citations), Gastroenterology (38 citations), Experimental and Cognitive Psychology (96 citations), Biological Psychiatry (16 citations) and Ophthalmology (49 citations). Yeda Wu has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Naomi R. Wray, Enda M. Byrne, Peter M. Visscher, Julia Sidorenko, Graham K. Murray, Andrew John Mallett, Zhili Zheng, Jian Yang, Kathryn E. Kemper and Loïc Yengo. Their work appears in journals such as Nature Communications, Chemistry of Materials, BMJ Open, Forensic Science International and Nature Genetics.
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.