Wai‐Ki Yip
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
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- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 5
- Genomic variations and chromosomal abnormalities 3
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 2
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- Influenza Virus Research Studies 2
- Co-authors
- Nan M. Laird (4 shared papers)Iuliana Ionita‐Laza (1 shared paper)Christoph Lange (7 shared papers)Dandi Qiao (2 shared papers)Benjamin A. Raby (1 shared paper)Johannes T. Roehr (1 shared paper)Lars Bertram (1 shared paper)Tian Liu (1 shared paper)
- Journals
- Genetic Epidemiology (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)Frontiers in Immunology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Wai‐Ki Yip
14 papers receiving 177 citations
Peers
Comparison fields: 5 of 54
- Neurology 32
- Genetics 92
- Biological Psychiatry 3
- Immunology 23
- Physiology 22
Countries citing papers authored by Wai‐Ki Yip
This map shows the geographic impact of Wai‐Ki Yip'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 Wai‐Ki Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai‐Ki Yip more than expected).
Fields of papers citing papers by Wai‐Ki Yip
This network shows the impact of papers produced by Wai‐Ki Yip. 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 Wai‐Ki Yip. The network helps show where Wai‐Ki Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Wai‐Ki Yip, 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 | 2013 | 89 | |
| 2 | 2014 | 31 | |
| 3 | 2012 | 12 | |
| 4 | 2011 | 11 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 8 | |
| 7 | 2011 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2013 | 2 | |
| 10 | 2011 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 1 |
About Wai‐Ki Yip
Wai‐Ki Yip is a scholar working on Genetics, Epidemiology, Molecular Biology, Immunology and Cancer Research, having authored 14 papers that have together received 180 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Complement system in diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Neurology (32 citations), Genetics (92 citations), Biological Psychiatry (3 citations), Immunology (23 citations) and Physiology (22 citations). Wai‐Ki Yip has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Nan M. Laird, Iuliana Ionita‐Laza, Christoph Lange, Dandi Qiao, Benjamin A. Raby, Johannes T. Roehr, Lars Bertram, Tian Liu, Basavaraj Hooli and Kristina Mullin. Their work appears in journals such as Genetic Epidemiology, Molecular Cancer Therapeutics, Journal of Cachexia Sarcopenia and Muscle, Frontiers in Immunology and BMC Bioinformatics.
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.