Vicky Yao
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- Microbial Metabolic Engineering and Bioproduction 2
- Genetics 3
- 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)Alex Lash (1 shared paper)Alan Packer (1 shared paper)Ran Zhang (1 shared paper)
- Journals
- Nature Communications (2 papers)PLoS Genetics (2 papers)Nucleic Acids Research (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Vicky Yao
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 180
- Biological Psychiatry 27
- Molecular Biology 611
- Genetics 205
- Endocrine and Autonomic Systems 43
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 | 265 | |
| 2 | Current progress and open challenges for applying deep learning across the biosciences Hit paper breakdown → | 2022 | 171 |
| 3 | 2018 | 142 | |
| 4 | 2020 | 108 | |
| 5 | 2016 | 83 | |
| 6 | 2020 | 69 | |
| 7 | 2015 | 46 | |
| 8 | Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy Hit paper breakdown → | 2025 | 45 |
| 9 | 2018 | 43 | |
| 10 | 2015 | 19 | |
| 11 | 2018 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2023 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 0 |
About Vicky Yao
Vicky Yao is a scholar working on Molecular Biology, Genetics, Aging, Cellular and Molecular Neuroscience and Rheumatology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Aging (180 citations), Biological Psychiatry (27 citations), Molecular Biology (611 citations), Genetics (205 citations) and Endocrine and Autonomic Systems (43 citations). Vicky Yao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Olga G. Troyanskaya, Alicja Tadych, Aaron K. Wong, Arjun Krishnan, Chandra L. Theesfeld, Alex Lash, Alan Packer, Ran Zhang, Natalia Volfovsky and Rachel Kaletsky. Their work appears in journals such as Nature Communications, PLoS Genetics, Nucleic Acids Research, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and 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.