Haiyuan Yu

42.2k total citations · 4 hit papers
129 papers, 9.9k citations indexed

About

Haiyuan Yu is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Haiyuan Yu has authored 129 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 16 papers in Materials Chemistry and 15 papers in Genetics. Recurrent topics in Haiyuan Yu's work include Bioinformatics and Genomic Networks (58 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Fungal and yeast genetics research (16 papers). Haiyuan Yu is often cited by papers focused on Bioinformatics and Genomic Networks (58 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Fungal and yeast genetics research (16 papers). Haiyuan Yu collaborates with scholars based in United States, China and United Kingdom. Haiyuan Yu's co-authors include Mark Gerstein, Alberto Paccanaro, Tamás Nepusz, M Snyder, Jishnu Das, Nicholas M. Luscombe, Valery Trifonov, Philip M. Kim, Dov Greenbaum and Emmett Sprecher and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Haiyuan Yu

125 papers receiving 9.8k citations

Hit Papers

Detecting overlapping protein complexes in protein-p... 2003 2026 2010 2018 2012 2003 2007 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyuan Yu United States 42 8.2k 1.4k 963 628 574 129 9.9k
Michael E. Cusick United States 24 6.9k 0.8× 1.7k 1.2× 1.1k 1.1× 498 0.8× 334 0.6× 40 8.3k
Philip M. Kim Canada 40 6.3k 0.8× 641 0.5× 872 0.9× 581 0.9× 476 0.8× 94 7.6k
Frederick P. Roth United States 49 9.9k 1.2× 1.1k 0.8× 1.8k 1.9× 519 0.8× 582 1.0× 133 11.9k
Cathy Wu United States 46 7.2k 0.9× 535 0.4× 749 0.8× 406 0.6× 542 0.9× 218 9.4k
Christopher W.V. Hogue Canada 25 6.9k 0.8× 975 0.7× 562 0.6× 840 1.3× 356 0.6× 62 8.9k
Reinhard Schneider Germany 43 7.0k 0.9× 915 0.6× 718 0.7× 368 0.6× 374 0.7× 196 10.5k
Anne‐Claude Gavin Germany 41 5.3k 0.6× 1.1k 0.8× 432 0.4× 793 1.3× 248 0.4× 91 6.7k
James Inglese United States 59 9.9k 1.2× 1.8k 1.3× 602 0.6× 964 1.5× 200 0.3× 192 13.8k
Piero Fariselli Italy 43 7.6k 0.9× 656 0.5× 1.5k 1.6× 492 0.8× 556 1.0× 178 9.7k
Hans‐Werner Mewes Germany 44 11.2k 1.4× 1.2k 0.9× 1.3k 1.4× 1.1k 1.7× 1.7k 3.0× 124 13.9k

Countries citing papers authored by Haiyuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyuan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyuan Yu. A scholar is included among the top collaborators of Haiyuan Yu 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 Haiyuan Yu. Haiyuan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wan, Min, Qiuye Zhao, Shannon Marshall, et al.. (2024). Phosphoribosyl modification of poly-ubiquitin chains at the Legionella-containing vacuole prohibiting autophagy adaptor recognition. Nature Communications. 15(1). 7481–7481. 4 indexed citations
2.
Zhu, Yujie, et al.. (2023). Research on oxidation kinetics of CoNiCrAlY coatings in pure steam environment. Corrosion Science. 224. 111532–111532. 8 indexed citations
3.
Zhang, Yingying, et al.. (2023). Finding Needles in the Haystack: Strategies for Uncovering Noncoding Regulatory Variants. Annual Review of Genetics. 57(1). 201–222. 1 indexed citations
4.
5.
Yan, Kai, Yong Xiang, Haiyuan Yu, et al.. (2023). Hot corrosion mechanism and thermal cycling performance of air-plasma-sprayed LaYbZr2O7 thermal barrier coatings in the vanadate-containing molten salts. Surface and Coatings Technology. 472. 129925–129925. 3 indexed citations
6.
Hou, Yuan, Yadi Zhou, Lara Jehi, et al.. (2022). Aging‐related cell type‐specific pathophysiologic immune responses that exacerbate disease severity in aged COVID‐19 patients. Aging Cell. 21(2). e13544–e13544. 10 indexed citations
7.
Du, Huan, Man Ying Wong, Tingting Zhang, et al.. (2021). A multifaceted role of progranulin in regulating amyloid-beta dynamics and responses. Life Science Alliance. 4(7). e202000874–e202000874. 14 indexed citations
8.
Wang, Ting‐Yi, et al.. (2021). Handcuffing intrinsically disordered regions in Mlh1–Pms1 disrupts mismatch repair. Nucleic Acids Research. 49(16). 9327–9341. 4 indexed citations
9.
Fragoza, Robert, et al.. (2020). Variants in RABL2A causing male infertility and ciliopathy. Human Molecular Genetics. 29(20). 3402–3411. 9 indexed citations
10.
Yugandhar, Kumar, et al.. (2020). Structure-based validation can drastically underestimate error rate in proteome-wide cross-linking mass spectrometry studies. Nature Methods. 17(10). 985–988. 26 indexed citations
11.
Lou, Shaoke, Tianxiao Li, Jin Liang, et al.. (2019). GRAM: A GeneRAlized Model to predict the molecular effect of a non-coding variant in a cell-type specific manner. PLoS Genetics. 15(8). e1007860–e1007860. 4 indexed citations
12.
Fragoza, Robert, Jishnu Das, Shayne D. Wierbowski, et al.. (2019). Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations. Nature Communications. 10(1). 4141–4141. 45 indexed citations
13.
Chaiboonchoe, Amphun, Lila Ghamsari, Patrick P. Ng, et al.. (2016). Systems level analysis of the Chlamydomonas reinhardtii metabolic network reveals variability in evolutionary co-conservation. Molecular BioSystems. 12(8). 2394–2407. 11 indexed citations
14.
Wei, Xiaomu, Jishnu Das, Robert Fragoza, et al.. (2014). A Massively Parallel Pipeline to Clone DNA Variants and Examine Molecular Phenotypes of Human Disease Mutations. PLoS Genetics. 10(12). e1004819–e1004819. 37 indexed citations
15.
Das, Jishnu, Robert Fragoza, Nicolas A. Cordero, et al.. (2013). Exploring mechanisms of human disease through structurally resolved protein interactome networks. Molecular BioSystems. 10(1). 9–17. 22 indexed citations
16.
Nepusz, Tamás, Haiyuan Yu, & Alberto Paccanaro. (2012). Detecting overlapping protein complexes in protein-protein interaction networks. Nature Methods. 9(5). 471–472. 919 indexed citations breakdown →
17.
Sboner, Andrea, Mark Sun, Haiyuan Yu, et al.. (2011). Diverse protein kinase interactions identified by protein microarrays reveal novel connections between cellular processes. Genes & Development. 25(7). 767–778. 59 indexed citations
18.
Borneman, Anthony R., Tara A. Gianoulis, Zhengdong D. Zhang, et al.. (2007). Divergence of Transcription Factor Binding Sites Across Related Yeast Species. Science. 317(5839). 815–819. 291 indexed citations
19.
Yu, Haiyuan, Philip M. Kim, Emmett Sprecher, Valery Trifonov, & Mark Gerstein. (2007). The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics. PLoS Computational Biology. 3(4). e59–e59. 737 indexed citations breakdown →
20.
Jansen, Ronald, Haiyuan Yu, Dov Greenbaum, et al.. (2003). A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data. Science. 302(5644). 449–453. 916 indexed citations breakdown →

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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