Yuxing Liao

10.1k total citations · 2 hit papers
25 papers, 3.2k citations indexed

About

Yuxing Liao is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Yuxing Liao has authored 25 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Yuxing Liao's work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (8 papers) and Bioinformatics and Genomic Networks (7 papers). Yuxing Liao is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (8 papers) and Bioinformatics and Genomic Networks (7 papers). Yuxing Liao collaborates with scholars based in United States, China and Germany. Yuxing Liao's co-authors include Bing Zhang, Zhiao Shi, Eric J. Jaehnig, Jing Wang, Nick V. Grishin, Hua Cheng, R. Dustin Schaeffer, Lisa N. Kinch, Jimin Pei and Shuoyong Shi and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yuxing Liao

25 papers receiving 3.2k 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.

WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs

2019 2.0k citations Yuxing Liao, Eric J. Jaehnig et al. Nucleic Acids Research profile →
WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics

2024 96 citations Yuxing Liao, Zhiao Shi et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuxing Liao United States	13	2.1k	422	386	312	310	25	3.2k
Robin van der Lee Netherlands	16	3.8k 1.8×	493 1.2×	507 1.3×	263 0.8×	412 1.3×	36	5.1k
Chittibabu Guda United States	33	2.4k 1.1×	404 1.0×	450 1.2×	311 1.0×	228 0.7×	144	3.5k
Steven H. Seeholzer United States	32	2.0k 1.0×	244 0.6×	355 0.9×	325 1.0×	484 1.6×	79	3.5k
Holger Kramer United Kingdom	35	2.6k 1.2×	625 1.5×	395 1.0×	494 1.6×	364 1.2×	82	4.0k
Shawn S.‐C. Li Canada	39	3.7k 1.7×	317 0.8×	295 0.8×	641 2.1×	564 1.8×	105	4.8k
Friedrich Buck Germany	41	3.0k 1.4×	502 1.2×	390 1.0×	459 1.5×	562 1.8×	120	4.6k
Hongbo Xie United States	20	2.2k 1.0×	257 0.6×	370 1.0×	149 0.5×	135 0.4×	63	2.9k
Joseph Foster United States	23	2.0k 0.9×	285 0.7×	361 0.9×	402 1.3×	309 1.0×	41	3.5k
Raghothama Chaerkady United States	37	2.4k 1.1×	474 1.1×	216 0.6×	399 1.3×	393 1.3×	91	3.6k

Countries citing papers authored by Yuxing Liao

Since Specialization

Citations

This map shows the geographic impact of Yuxing Liao'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 Yuxing Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxing Liao more than expected).

Fields of papers citing papers by Yuxing Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuxing Liao. 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 Yuxing Liao. The network helps show where Yuxing Liao may publish in the future.

Co-authorship network of co-authors of Yuxing Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxing Liao. A scholar is included among the top collaborators of Yuxing Liao 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 Yuxing Liao. Yuxing Liao 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

Jaehnig, Eric J., Yuxing Liao, Zhiao Shi, et al.. (2025). Deciphering the dark cancer phosphoproteome using machine-learned co-regulation of phosphosites. Nature Communications. 16(1). 2766–2766. 2 indexed citations

Liao, Yuxing, et al.. (2024). WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics. Nucleic Acids Research. 52(W1). W415–W421. 96 indexed citations breakdown →

Liao, Yuxing, Yan‐Xia Lin, Muthukumar Mohan, et al.. (2024). Molecular mechanisms of tetrabromobisphenol A (TBBPA) toxicity: Insights from various biological systems. Ecotoxicology and Environmental Safety. 288. 117418–117418. 6 indexed citations

Savage, Sara R., Xinpei Yi, Jonathan T. Lei, et al.. (2024). Pan-cancer proteogenomics expands the landscape of therapeutic targets. Cell. 187(16). 4389–4407.e15. 33 indexed citations

Savage, Sara R., Yuxing Liao, Yongchao Dou, et al.. (2023). Abstract 6575: LinkedOmicsKB: A web portal to explore pan-cancer molecular and phenotype associations. Cancer Research. 83(7_Supplement). 6575–6575. 1 indexed citations

Savage, Sara R., Yaoyun Zhang, Eric J. Jaehnig, et al.. (2023). IDPpub: Illuminating the Dark Phosphoproteome Through PubMed Mining. Molecular & Cellular Proteomics. 23(1). 100682–100682. 3 indexed citations

Liao, Yuxing, Sara R. Savage, Yongchao Dou, et al.. (2023). A proteogenomics data-driven knowledge base of human cancer. Cell Systems. 14(9). 777–787.e5. 27 indexed citations

Dowst, Heidi, Julie C. DiCarlo, Lacey E. Dobrolecki, et al.. (2023). Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials. Tomography. 9(2). 810–828. 3 indexed citations

Yi, Xinpei, Yuxing Liao, Bo Wen, et al.. (2021). caAtlas: An immunopeptidome atlas of human cancer. iScience. 24(10). 103107–103107. 32 indexed citations

10.

Yi, Xinpei, Yuxing Liao, Bo Wen, et al.. (2021). Abstract 1895: caAtlas: An immunopeptidome atlas of human cancer. Cancer Research. 81(13_Supplement). 1895–1895. 1 indexed citations

11.

Wen, Bo, Wen‐Feng Zeng, Yuxing Liao, et al.. (2020). Deep Learning in Proteomics. PROTEOMICS. 20(21-22). e1900335–e1900335. 101 indexed citations

12.

Savage, Sara R., Zhiao Shi, Yuxing Liao, & Bing Zhang. (2019). Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results. Molecular & Cellular Proteomics. 18(8). S141–S152. 12 indexed citations

13.

Schaeffer, R. Dustin, Yuxing Liao, & Nick V. Grishin. (2018). Searching ECOD for Homologous Domains by Sequence and Structure. Current Protocols in Bioinformatics. 61(1). e45–e45. 6 indexed citations

14.

Schaeffer, R. Dustin, Yuxing Liao, Hua Cheng, & Nick V. Grishin. (2016). ECOD: new developments in the evolutionary classification of domains. Nucleic Acids Research. 45(D1). D296–D302. 61 indexed citations

15.

Schaeffer, R. Dustin, Lisa N. Kinch, Yuxing Liao, & Nick V. Grishin. (2016). Classification of proteins with shared motifs and internal repeats in the ECOD database. Protein Science. 25(7). 1188–1203. 23 indexed citations

16.

Ovchinnikov, Sergey, Lisa N. Kinch, Hahnbeom Park, et al.. (2015). Large-scale determination of previously unsolved protein structures using evolutionary information. eLife. 4. e09248–e09248. 170 indexed citations

17.

Chen, Baoyu, Klaus Brinkmann, Zhucheng Chen, et al.. (2014). The WAVE Regulatory Complex Links Diverse Receptors to the Actin Cytoskeleton. Cell. 156(1-2). 195–207. 210 indexed citations

18.

Liao, Yuxing, Jimin Pei, Hua Cheng, & Nick V. Grishin. (2014). An Ancient Autoproteolytic Domain Found in GAIN, ZU5 and Nucleoporin98. Journal of Molecular Biology. 426(24). 3935–3945. 11 indexed citations

19.

Cheng, Hua, R. Dustin Schaeffer, Yuxing Liao, et al.. (2014). ECOD: An Evolutionary Classification of Protein Domains. PLoS Computational Biology. 10(12). e1003926–e1003926. 289 indexed citations

20.

Kinch, Lisa N., et al.. (2011). CASP9 assessment of free modeling target predictions. Proteins Structure Function and Bioinformatics. 79(S10). 59–73. 81 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.

Explore authors with similar magnitude of impact