Shibiao Wan

1.8k total citations
54 papers, 1.1k citations indexed

About

Shibiao Wan is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Shibiao Wan has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Artificial Intelligence. Recurrent topics in Shibiao Wan's work include Machine Learning in Bioinformatics (25 papers), Genomics and Phylogenetic Studies (14 papers) and RNA and protein synthesis mechanisms (13 papers). Shibiao Wan is often cited by papers focused on Machine Learning in Bioinformatics (25 papers), Genomics and Phylogenetic Studies (14 papers) and RNA and protein synthesis mechanisms (13 papers). Shibiao Wan collaborates with scholars based in United States, Hong Kong and China. Shibiao Wan's co-authors include Man‐Wai Mak, Sun‐Yuan Kung, Kyoung‐Jae Won, Junil Kim, Daniel P. Kelly, Rick B. Vega, Ling‐Ping Lai, Tomoya Sakamoto, Fan Zhang and Zeeshan Ahmed and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Shibiao Wan

48 papers receiving 1.1k citations

Peers

Shibiao Wan
Mulin Jun Li China
Satoshi Okawa Japan
Rani K. Powers United States
Weixing Feng China
Junil Kim South Korea
Xiaohan Zhao China
Richa Batra Germany
Jakub Tomek United Kingdom
Yaohong Wang United States
Mulin Jun Li China
Shibiao Wan
Citations per year, relative to Shibiao Wan Shibiao Wan (= 1×) peers Mulin Jun Li

Countries citing papers authored by Shibiao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shibiao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibiao Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shibiao Wan. A scholar is included among the top collaborators of Shibiao Wan 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 Shibiao Wan. Shibiao Wan 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
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Singh, Shivendra V., Qiong Wu, Hongjian Jin, et al.. (2025). The context-dependent epigenetic and organogenesis programs determine 3D vs. 2D cellular fitness of MYC-driven murine liver cancer cells. eLife. 14. 1 indexed citations
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Li, Lusheng, et al.. (2024). Multi-omics based artificial intelligence for cancer research. Advances in cancer research. 163. 303–356. 13 indexed citations
5.
Feng, Junxi, et al.. (2024). SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition. Briefings in Functional Genomics. 23(6). 879–890. 2 indexed citations
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Wan, Shibiao, et al.. (2024). A Review for Artificial Intelligence Based Protein Subcellular Localization. Biomolecules. 14(4). 409–409. 4 indexed citations
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Liu, Ruobing, et al.. (2024). A review of artificial intelligence-based brain age estimation and its applications for related diseases. Briefings in Functional Genomics. 24. 1 indexed citations
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Wan, Shibiao, et al.. (2024). A Review for Artificial Intelligence Based Protein Subcellular Localization. Preprints.org. 1 indexed citations
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Wan, Shibiao, et al.. (2024). Isorhamnetin ameliorates dopaminergic neuronal damage via targeting FOSL1 to activate AKT/mTOR in 6-OHDA-induced SH-SY5Y cells. Journal of Neurophysiology. 133(1). 22–33. 3 indexed citations
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Wan, Shibiao, Bhopal Mohapatra, Nicholas T. Woods, et al.. (2023). USP1 Expression Driven by EWS::FLI1 Transcription Factor Stabilizes Survivin and Mitigates Replication Stress in Ewing Sarcoma. Molecular Cancer Research. 21(11). 1186–1204. 12 indexed citations
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Shi, Wen, Sameer Mirza, Mitchell Kuss, et al.. (2023). Embedded Bioprinting of Breast Tumor Cells and Organoids Using Low‐Concentration Collagen‐Based Bioinks. Advanced Healthcare Materials. 12(26). e2300905–e2300905. 47 indexed citations
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Sakamoto, Tomoya, Kirill Batmanov, Shibiao Wan, et al.. (2022). The nuclear receptor ERR cooperates with the cardiogenic factor GATA4 to orchestrate cardiomyocyte maturation. Nature Communications. 13(1). 1991–1991. 25 indexed citations
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Wang, Ran, Xubin Zheng, Jun Wang, et al.. (2022). Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia. Briefings in Bioinformatics. 23(2). 27 indexed citations
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Honnell, Victoria, Jacqueline L. Norrie, Anand G. Patel, et al.. (2022). Identification of a modular super-enhancer in murine retinal development. Nature Communications. 13(1). 253–253. 19 indexed citations
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Wan, Shibiao & Jieqiong Wang. (2022). A Sequence Obfuscation Method for Protecting Personal Genomic Privacy. Frontiers in Genetics. 13. 876686–876686. 1 indexed citations
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Lavado, Alfonso, Ruchika Gangwar, Joshua Paré, et al.. (2021). YAP/TAZ maintain the proliferative capacity and structural organization of radial glial cells during brain development. Developmental Biology. 480. 39–49. 16 indexed citations
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Wan, Shibiao, Man‐Wai Mak, & Sun‐Yuan Kung. (2016). Mem-ADSVM: A two-layer multi-label predictor for identifying multi-functional types of membrane proteins. Journal of Theoretical Biology. 398. 32–42. 25 indexed citations
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Wan, Shibiao, Man‐Wai Mak, & Sun‐Yuan Kung. (2014). R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization. Journal of Theoretical Biology. 360. 34–45. 32 indexed citations
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Wan, Shibiao, Man‐Wai Mak, & Sun‐Yuan Kung. (2014). mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction. Analytical Biochemistry. 473. 14–27. 47 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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