Vicky Yao

2.6k total citations · 2 hit papers
22 papers, 1.0k citations indexed

About

Vicky Yao is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Vicky Yao has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Aging. Recurrent topics in Vicky Yao's work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Vicky Yao is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Vicky Yao collaborates with scholars based in United States, China and Sweden. Vicky Yao's co-authors include Olga G. Troyanskaya, Alicja Tadych, Aaron K. Wong, Arjun Krishnan, Ran Zhang, Alex Lash, Natalia Volfovsky, Chandra L. Theesfeld, Alan Packer and Rachel Kaletsky and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vicky Yao

19 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current progress and open challenges for applying deep learning across the biosciences

2022 171 citations Nicolae Sapoval, Amirali Aghazadeh et al. Nature Communications profile →
Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy

2025 45 citations Vicky Yao, Xin Cheng et al. MedComm profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vicky Yao United States	12	611	205	180	118	88	22	1.0k
Meeta Mistry United States	16	777 1.3×	302 1.5×	130 0.7×	113 1.0×	55 0.6×	26	1.3k
Alicja Tadych United States	8	436 0.7×	178 0.9×	119 0.7×	113 1.0×	73 0.8×	12	695
Lillian W. Chiang United States	14	985 1.6×	83 0.4×	170 0.9×	77 0.7×	127 1.4×	20	1.5k
David R. Stanford United States	23	1.2k 2.0×	155 0.8×	40 0.2×	51 0.4×	106 1.2×	48	1.6k
Cho-Yi Chen Taiwan	14	639 1.0×	167 0.8×	64 0.4×	67 0.6×	35 0.4×	24	1.1k
Luca Crepaldi Italy	19	961 1.6×	199 1.0×	50 0.3×	68 0.6×	98 1.1×	31	1.5k
Han S. Lee United States	22	716 1.2×	288 1.4×	20 0.1×	114 1.0×	124 1.4×	32	1.5k
Akiko Yanagiya Canada	19	1.1k 1.8×	116 0.6×	82 0.5×	57 0.5×	69 0.8×	31	1.5k
Noah Davidsohn United States	8	1.7k 2.7×	279 1.4×	214 1.2×	24 0.2×	100 1.1×	9	1.9k
Andrew Knights United Kingdom	10	625 1.0×	229 1.1×	64 0.4×	17 0.1×	47 0.5×	12	915

Countries citing papers authored by Vicky Yao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vicky Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Vicky Yao. A scholar is included among the top collaborators of Vicky Yao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vicky Yao. Vicky Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lai, Qiliang, Ruth Dannenfelser, Jean-Pierre Roussarie, & Vicky Yao. (2025). Disentangling associations between complex traits and cell types with seismic. Nature Communications. 16(1). 8744–8744. 3 indexed citations

Yao, Vicky, et al.. (2025). Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy. MedComm. 6(5). e70168–e70168. 45 indexed citations breakdown →

Jiang, Yang, Vicky Yao, Yuzhen Liu, et al.. (2025). Influenza A Virus ( H1N1 ) Infection Induces Ferroptosis to Promote Developmental Injury in Fetal Tissues. Cell Proliferation. 59(3). e70117–e70117.

Yao, Vicky, Tong Zhang, Xueyuan Jia, et al.. (2024). MEF2A, a gene associated with mitochondrial biogenesis, promotes drug resistance in gastric cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(1). 167497–167497. 4 indexed citations

Dannenfelser, Ruth, et al.. (2024). A best-match approach for gene set analyses in embedding spaces. Genome Research. 34(9). 1421–1433.

Dannenfelser, Ruth & Vicky Yao. (2023). Splitpea: quantifying protein interaction network rewiring changes due to alternative splicing in cancer. PubMed. 29. 579–593.

Dannenfelser, Ruth, et al.. (2023). Joint embedding of biological networks for cross-species functional alignment. Bioinformatics. 39(9). 6 indexed citations

Sapoval, Nicolae, Amirali Aghazadeh, Michael Nute, et al.. (2022). Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13(1). 1728–1728. 171 indexed citations breakdown →

Dannenfelser, Ruth, Benjamin VanderSluis, Vicky Yao, et al.. (2020). Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies. Cell Systems. 11(3). 215–228.e5. 69 indexed citations

10.

Orange, Dana E., Vicky Yao, Kirsty Sawicka, et al.. (2020). RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares. New England Journal of Medicine. 383(3). 218–228. 108 indexed citations

11.

Sargin, Derya, Vicky Yao, Olga G. Troyanskaya, et al.. (2019). Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons. Molecular Psychiatry. 25(5). 1112–1129. 12 indexed citations

12.

Zhou, Jian, Ignacio E. Schor, Vicky Yao, et al.. (2019). Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development. PLoS Genetics. 15(9). e1008382–e1008382. 4 indexed citations

13.

Kaletsky, Rachel, Vicky Yao, April E. Williams, et al.. (2018). Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. PLoS Genetics. 14(8). e1007559–e1007559. 142 indexed citations

14.

Yao, Vicky, Aaron K. Wong, & Olga G. Troyanskaya. (2018). Enabling Precision Medicine through Integrative Network Models. Journal of Molecular Biology. 430(18). 2913–2923. 12 indexed citations

15.

Yao, Vicky, Rachel Kaletsky, William Keyes, et al.. (2018). An integrative tissue-network approach to identify and test human disease genes. Nature Biotechnology. 36(11). 1091–1099. 43 indexed citations

16.

Rangan, Aaditya V., John R. Kelsoe, Nicholas J. Schork, et al.. (2018). A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. PLoS Computational Biology. 14(5). e1006105–e1006105. 6 indexed citations

17.

Krishnan, Arjun, Ran Zhang, Vicky Yao, et al.. (2016). Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience. 19(11). 1454–1462. 265 indexed citations

18.

Goya, Jonathan, et al.. (2015). FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Research. 43(W1). W182–W187. 19 indexed citations

19.

Wong, Aaron K., Arjun Krishnan, Vicky Yao, Alicja Tadych, & Olga G. Troyanskaya. (2015). IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 43(W1). W128–W133. 46 indexed citations

20.

Guan, Yuanfang, Vicky Yao, Kyle Tsui, et al.. (2011). Nucleosome-coupled expression differences in closely-related species. BMC Genomics. 12(1). 466–466. 5 indexed citations

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.

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