Vicky Yao
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Bioinformatics and Genomic Networks 6
- Genomics and Chromatin Dynamics 2
- Gene expression and cancer classification 2
- Developmental Biology and Gene Regulation 2
- Epigenetics and DNA Methylation 1
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- Rheumatoid Arthritis Research and Therapies 2
- Folate and B Vitamins Research 1
- Co-authors
- Olga G. Troyanskaya (14 shared papers)Alicja Tadych (5 shared papers)Aaron K. Wong (5 shared papers)Arjun Krishnan (4 shared papers)Chandra L. Theesfeld (2 shared papers)Natalia Volfovsky (1 shared paper)Alex Lash (1 shared paper)Alan I. Packer (1 shared paper)
- Journals
- Nature Communications (2 papers)PLoS Genetics (2 papers)Nucleic Acids Research (2 papers)Science Translational Medicine (1 paper)Neuron (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Vicky Yao
20 papers receiving 1.3k citations
Vicky Yao's Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 92
- Rheumatology 149
- Health Informatics 21
- Molecular Biology 505
- Cognitive Neuroscience 157
Countries citing papers authored by Vicky Yao
This map shows the geographic impact of Vicky Yao'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 Vicky Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Yao more than expected).
Fields of papers citing papers by Vicky Yao
This network shows the impact of papers produced by Vicky Yao. 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 Vicky Yao. The network helps show where Vicky Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 304 | |
| 2 | Current progress and open challenges for applying deep learning across the biosciences Hit paper breakdown → | 2022 | 231 |
| 3 | 2018 | 141 | |
| 4 | 2020 | 134 | |
| 5 | 2020 | 123 | |
| 6 | 2016 | 89 | |
| 7 | 2020 | 79 | |
| 8 | 2023 | 76 | |
| 9 | 2018 | 52 | |
| 10 | 2015 | 47 | |
| 11 | 2015 | 20 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 14 | |
| 14 | 2025 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2011 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 1 |
About Vicky Yao
Vicky Yao is a scholar working on Molecular Biology, Rheumatology, Aging, Clinical Biochemistry and Physiology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Alzheimer's disease research and treatments (2 papers), Genomics and Chromatin Dynamics (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Gene expression and cancer classification (2 papers), Developmental Biology and Gene Regulation (2 papers), Folate and B Vitamins Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (92 citations), Rheumatology (149 citations), Health Informatics (21 citations), Molecular Biology (505 citations) and Cognitive Neuroscience (157 citations). Vicky Yao has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Olga G. Troyanskaya, Alicja Tadych, Aaron K. Wong, Arjun Krishnan, Chandra L. Theesfeld, Natalia Volfovsky, Alex Lash, Alan I. Packer, Ruth Dannenfelser and Coleen Tara Murphy. Their work appears in journals such as Nature Communications, PLoS Genetics, Nucleic Acids Research, Science Translational Medicine and Neuron.
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.