Kevin Y. Yip

13.3k total citations
106 papers, 3.4k citations indexed

About

Kevin Y. Yip is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Kevin Y. Yip has authored 106 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 19 papers in Artificial Intelligence and 14 papers in Cancer Research. Recurrent topics in Kevin Y. Yip's work include Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (18 papers) and Genomics and Phylogenetic Studies (17 papers). Kevin Y. Yip is often cited by papers focused on Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (18 papers) and Genomics and Phylogenetic Studies (17 papers). Kevin Y. Yip collaborates with scholars based in Hong Kong, United States and China. Kevin Y. Yip's co-authors include Mark Gerstein, Ben Kao, Chao Cheng, Michael K. Ng, David W. Cheung, M Snyder, Tara A. Gianoulis, Kei‐Hoi Cheung, Joel Rozowsky and David W. Cheung and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kevin Y. Yip

101 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Y. Yip Hong Kong 33 2.2k 521 433 366 297 106 3.4k
Jun Sese Japan 27 1.9k 0.9× 518 1.0× 334 0.8× 226 0.6× 176 0.6× 82 3.6k
Shinichi Morishita Japan 38 3.0k 1.3× 464 0.9× 731 1.7× 307 0.8× 538 1.8× 185 5.0k
Amir Ben‐Dor United States 24 2.9k 1.3× 796 1.5× 897 2.1× 508 1.4× 250 0.8× 53 4.7k
Ming Hao United States 26 2.4k 1.1× 452 0.9× 434 1.0× 621 1.7× 130 0.4× 126 5.1k
Ivan G. Costa Germany 39 3.0k 1.3× 634 1.2× 327 0.8× 672 1.8× 106 0.4× 124 4.9k
Ka Yee Yeung United States 21 2.2k 1.0× 1.0k 2.0× 279 0.6× 129 0.4× 225 0.8× 56 3.7k
Mehmet Koyutürk United States 30 1.7k 0.8× 307 0.6× 245 0.6× 180 0.5× 155 0.5× 122 2.7k
Casey S. Greene United States 38 2.8k 1.2× 699 1.3× 787 1.8× 457 1.2× 161 0.5× 144 4.9k
Yuhong Liu China 37 3.3k 1.5× 487 0.9× 135 0.3× 446 1.2× 394 1.3× 250 6.5k
Doheon Lee South Korea 38 4.1k 1.8× 873 1.7× 438 1.0× 464 1.3× 247 0.8× 229 6.9k

Countries citing papers authored by Kevin Y. Yip

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Y. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Y. Yip. 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 Kevin Y. Yip. The network helps show where Kevin Y. Yip may publish in the future.

Co-authorship network of co-authors of Kevin Y. Yip

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Y. Yip. A scholar is included among the top collaborators of Kevin Y. Yip 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 Kevin Y. Yip. Kevin Y. Yip 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.
Pontarini, Elena, Andrew Clear, Stefano Bombardieri, et al.. (2025). Autophagy is an upstream mediator of chromatin dynamics in normal and autoimmune germinal center B cells. Journal of Clinical Investigation. 135(13).
2.
Chen, Miao, Ran Wang, Yizhen Chen, et al.. (2024). Commonly used software tools produce conflicting and overly-optimistic AUPRC values. Genome biology. 25(1). 118–118. 2 indexed citations
3.
Hui, Jerome H. L., Ting‐Fung Chan, Leo Lai Chan, et al.. (2024). Chromosomal-level genome assembly of the long-spined sea urchin Diadema setosum (Leske, 1778). SHILAP Revista de lepidopterología. 2024. 1–13.
4.
Hui, Jerome H. L., Ting‐Fung Chan, Leo Lai Chan, et al.. (2024). Chromosome-level genome assembly of the common chiton, Liolophura japonica (Lischke, 1873). SHILAP Revista de lepidopterología. 2024. 1–14. 3 indexed citations
5.
Espen, Benjamin Van, Htoo Zarni Oo, Colin C. Collins, et al.. (2023). RNF185 Control of COL3A1 Expression Limits Prostate Cancer Migration and Metastatic Potential. Molecular Cancer Research. 22(1). 41–54. 5 indexed citations
6.
Tam, Claudia H.T., Hongbo Liu, Cadmon K.P. Lim, et al.. (2023). DNA methylation markers for kidney function and progression of diabetic kidney disease. Nature Communications. 14(1). 2543–2543. 34 indexed citations
7.
Cao, Jian, et al.. (2023). ICI efficacy information portal: a knowledgebase for responder prediction to immune checkpoint inhibitors. NAR Cancer. 5(1). zcad012–zcad012. 2 indexed citations
8.
Li, Yu, et al.. (2022). Deep learning identifies and quantifies recombination hotspot determinants. Bioinformatics. 38(10). 2683–2691. 5 indexed citations
9.
Cao, Qin, et al.. (2022). Reusability report: Capturing properties of biological objects and their relationships using graph neural networks. Nature Machine Intelligence. 4(3). 222–226. 9 indexed citations
10.
Wang, Bo, Grace Tin‐Yun Chung, Raymond Wai Ming Lung, et al.. (2021). Quantifying full-length circular RNAs in cancer. Genome Research. 31(12). 2340–2353. 14 indexed citations
11.
Nong, Wenyan, Jian Cao, Yiqian Li, et al.. (2020). Jellyfish genomes reveal distinct homeobox gene clusters and conservation of small RNA processing. Nature Communications. 11(1). 3051–3051. 53 indexed citations
12.
Fu, Xi, Clara Sze-Man Tang, Ray Kit Ng, et al.. (2020). Whole-genome analysis of noncoding genetic variations identifies multiscale regulatory element perturbations associated with Hirschsprung disease. Genome Research. 30(11). 1618–1632. 12 indexed citations
13.
Li, Le, Yuwei Gao, Qiong Wu, Alfred S.L. Cheng, & Kevin Y. Yip. (2019). New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulation. Genome Research. 29(4). 543–553. 16 indexed citations
14.
Lou, Shaoke, Heung Man Lee, Hao Qin, et al.. (2014). Whole-genome bisulfite sequencing of multiple individuals reveals complementary roles of promoter and gene body methylation in transcriptional regulation. Genome Biology. 15(7). 408–408. 3 indexed citations
15.
Sui, Yi, Kevin Y. Yip, Stephen Kwok‐Wing Tsui, et al.. (2012). Sustained Antidiabetic Effects of a Berberine-Containing Chinese Herbal Medicine Through Regulation of Hepatic Gene Expression. Diabetes. 61(4). 933–943. 95 indexed citations
16.
Li, Xiyan, Tara A. Gianoulis, Kevin Y. Yip, Mark Gerstein, & M Snyder. (2010). Extensive In Vivo Metabolite-Protein Interactions Revealed by Large-Scale Systematic Analyses. Cell. 143(4). 639–650. 188 indexed citations
17.
Lu, Zhi John, Kevin Y. Yip, Guilin Wang, et al.. (2010). Prediction and characterization of noncoding RNAs in C. elegans by integrating conservation, secondary structure, and high-throughput sequencing and array data. Genome Research. 21(2). 276–285. 51 indexed citations
18.
Yip, Kevin Y., Philip M. Kim, Drew McDermott, & Mark Gerstein. (2009). Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels. BMC Bioinformatics. 10(1). 241–241. 9 indexed citations
19.
Cheung, Kei‐Hoi, Kevin Y. Yip, Jeffrey P. Townsend, & Matthew Scotch. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics. 41(5). 694–705. 53 indexed citations
20.
Cheung, David W., et al.. (2006). On mining micro-array data by Order-Preserving Submatrix. International Journal of Bioinformatics Research and Applications. 3(1). 42–42. 14 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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