Xiaobing Shi

15.2k total citations · 1 hit paper
104 papers, 8.2k citations indexed

About

Xiaobing Shi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaobing Shi has authored 104 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Xiaobing Shi's work include Genomics and Chromatin Dynamics (42 papers), Epigenetics and DNA Methylation (42 papers) and Protein Degradation and Inhibitors (28 papers). Xiaobing Shi is often cited by papers focused on Genomics and Chromatin Dynamics (42 papers), Epigenetics and DNA Methylation (42 papers) and Protein Degradation and Inhibitors (28 papers). Xiaobing Shi collaborates with scholars based in United States, China and Canada. Xiaobing Shi's co-authors include Or Gozani, Hong Wen, Tatiana G. Kutateladze, Wei Li, Yuanxin Xi, Haitao Li, Xi Zhang, Kay L. Walter, Foteini Davrazou and Danni Peng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Xiaobing Shi

101 papers receiving 8.1k citations

Hit Papers

Molecular mechanism of histone H3K4me3 recognition by pla... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobing Shi United States 48 7.1k 868 726 630 573 104 8.2k
Siavash K. Kurdistani United States 38 6.1k 0.9× 798 0.9× 627 0.9× 717 1.1× 708 1.2× 62 7.2k
Jan Karlseder United States 42 7.3k 1.0× 876 1.0× 896 1.2× 613 1.0× 564 1.0× 67 9.4k
Tej K. Pandita United States 46 5.2k 0.7× 1.3k 1.5× 379 0.5× 969 1.5× 544 0.9× 125 6.4k
Akihiro Kurimasa Japan 36 4.8k 0.7× 1.6k 1.9× 326 0.4× 1.2k 1.9× 468 0.8× 90 6.3k
Or Gozani United States 57 9.6k 1.3× 1.2k 1.3× 522 0.7× 839 1.3× 798 1.4× 108 11.7k
Sean A. Beausoleil United States 25 7.3k 1.0× 1.0k 1.2× 247 0.3× 401 0.6× 405 0.7× 30 9.0k
Kyle M. Miller United States 38 5.7k 0.8× 1.1k 1.3× 479 0.7× 479 0.8× 418 0.7× 74 6.2k
Carrie Baker Brachmann United States 25 4.2k 0.6× 549 0.6× 614 0.8× 209 0.3× 248 0.4× 45 5.5k
Christian A. Hassig United States 19 5.2k 0.7× 977 1.1× 268 0.4× 298 0.5× 919 1.6× 40 5.9k
Graham Dellaire Canada 43 4.9k 0.7× 865 1.0× 409 0.6× 551 0.9× 597 1.0× 123 6.2k

Countries citing papers authored by Xiaobing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Shi. A scholar is included among the top collaborators of Xiaobing Shi 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 Xiaobing Shi. Xiaobing Shi 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.
Lachance, Catherine, Kuai Li, Xiaobing Shi, et al.. (2025). A multivalent engagement of ENL with MOZ. Nature Structural & Molecular Biology. 32(4). 709–718. 1 indexed citations
2.
Xu, Longxia, Hongwen Xuan, & Xiaobing Shi. (2024). Dysregulation of the p300/CBP histone acetyltransferases in human cancer. Epigenomics. 17(3). 193–208. 1 indexed citations
3.
Xue, Zhaoyu, Mengying Huang, Ling Xie, et al.. (2024). A potent and selective ENL degrader suppresses oncogenic gene expression and leukemia progression. Science Advances. 10(35). eado1432–eado1432. 1 indexed citations
4.
Liu, Yujing, Seung‐Gi Jin, Jennifer Johnson, et al.. (2023). TRIM28 secures skeletal stem cell fate during skeletogenesis by silencing neural gene expression and repressing GREM1/AKT/mTOR signaling axis. Cell Reports. 42(1). 112012–112012. 5 indexed citations
5.
Wen, Hong & Xiaobing Shi. (2023). Histone Readers and Their Roles in Cancer. Cancer treatment and research. 190. 245–272. 2 indexed citations
6.
He, Jianfeng, et al.. (2023). Dual-Path Information Fusion and Twin Attention-Driven Global Modeling for Solar Irradiance Prediction. Sensors. 23(17). 7469–7469. 6 indexed citations
7.
Xu, Longxia, Hongwen Xuan, Wei He, et al.. (2023). TAZ2 truncation confers overactivation of p300 and cellular vulnerability to HDAC inhibition. Nature Communications. 14(1). 5362–5362. 10 indexed citations
8.
Zhou, Yang, Zhaoyu Xue, Ning Hao, et al.. (2020). Histone benzoylation serves as an epigenetic mark for DPF and YEATS family proteins. Nucleic Acids Research. 49(1). 114–126. 55 indexed citations
9.
Chen, Yaohui, Runping Fang, Yue Chen, et al.. (2019). Wnt-Induced Stabilization of KDM4C Is Required for Wnt/β-Catenin Target Gene Expression and Glioblastoma Tumorigenesis. Cancer Research. 80(5). 1049–1063. 47 indexed citations
10.
Zhang, Yi, Yongming Xue, Jiejun Shi, et al.. (2018). The ZZ domain of p300 mediates specificity of the adjacent HAT domain for histone H3. Nature Structural & Molecular Biology. 25(9). 841–849. 56 indexed citations
11.
Zhang, Yi, Su Ran Mun, Juan F. Linares, et al.. (2018). ZZ-dependent regulation of p62/SQSTM1 in autophagy. Nature Communications. 9(1). 4373–4373. 78 indexed citations
12.
Hsu, Chih-Chao, Dan Zhao, Jiejun Shi, et al.. (2018). Gas41 links histone acetylation to H2A.Z deposition and maintenance of embryonic stem cell identity. Cell Discovery. 4(1). 28–28. 47 indexed citations
13.
Zhu, Sen, Dongyu Zhao, Yan Lin, et al.. (2018). BMI1 regulates androgen receptor in prostate cancer independently of the polycomb repressive complex 1. Nature Communications. 9(1). 500–500. 63 indexed citations
14.
Klein, Brianna J., Kendra R. Vann, Forest H. Andrews, et al.. (2018). Structural insights into the π-π-π stacking mechanism and DNA-binding activity of the YEATS domain. Nature Communications. 9(1). 45 indexed citations
15.
Li, Xin, Xiaomeng Li, Yixiang Jiang, et al.. (2018). Structure-guided development of YEATS domain inhibitors by targeting π-π-π stacking. Nature Chemical Biology. 14(12). 1140–1149. 83 indexed citations
16.
17.
Shi, Leilei, Hong Wen, & Xiaobing Shi. (2016). The Histone Variant H3.3 in Transcriptional Regulation and Human Disease. Journal of Molecular Biology. 429(13). 1934–1945. 53 indexed citations
18.
Kleine‐Kohlbrecher, Daniela, Jesper Frank Christensen, Julien Vandamme, et al.. (2010). A Functional Link between the Histone Demethylase PHF8 and the Transcription Factor ZNF711 in X-Linked Mental Retardation. Molecular Cell. 38(2). 165–178. 172 indexed citations
19.
Zhang, Haiyu, María Gómez–García, Xiaobing Shi, Narayana N. Rao, & Arthur Kornberg. (2007). Polyphosphate kinase 1, a conserved bacterial enzyme, in a eukaryote, Dictyostelium discoideum , with a role in cytokinesis. Proceedings of the National Academy of Sciences. 104(42). 16486–16491. 54 indexed citations
20.
Shi, Xiaobing, Ioulia Kachirskaia, Kay L. Walter, et al.. (2006). Proteome-wide Analysis in Saccharomyces cerevisiae Identifies Several PHD Fingers as Novel Direct and Selective Binding Modules of Histone H3 Methylated at Either Lysine 4 or Lysine 36. Journal of Biological Chemistry. 282(4). 2450–2455. 207 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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