Xiaoke Guo

1.4k total citations
69 papers, 1.1k citations indexed

About

Xiaoke Guo is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Xiaoke Guo has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 14 papers in Organic Chemistry and 10 papers in Computational Theory and Mathematics. Recurrent topics in Xiaoke Guo's work include Cancer-related gene regulation (12 papers), Computational Drug Discovery Methods (10 papers) and Epigenetics and DNA Methylation (10 papers). Xiaoke Guo is often cited by papers focused on Cancer-related gene regulation (12 papers), Computational Drug Discovery Methods (10 papers) and Epigenetics and DNA Methylation (10 papers). Xiaoke Guo collaborates with scholars based in China, Poland and Vietnam. Xiaoke Guo's co-authors include Qidong You, Haopeng Sun, Xiaojin Zhang, Xiaoli Xu, Zhengyu Jiang, Lili Xu, Weilin Chen, Mengchen Lu, Meiyang Xi and Tingting Yang and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaoke Guo

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoke Guo China 20 893 270 110 96 80 69 1.1k
Vassilios Myrianthopoulos Greece 20 839 0.9× 438 1.6× 182 1.7× 97 1.0× 73 0.9× 49 1.5k
Meenakshisundaram Kandhavelu Finland 17 637 0.7× 247 0.9× 127 1.2× 75 0.8× 76 0.9× 79 1.1k
Jelena Dinić Serbia 19 671 0.8× 168 0.6× 219 2.0× 53 0.6× 105 1.3× 65 1.1k
Xihan Wu China 16 781 0.9× 275 1.0× 249 2.3× 109 1.1× 43 0.5× 35 1.1k
Roberta Rocca Italy 21 689 0.8× 269 1.0× 74 0.7× 66 0.7× 179 2.2× 54 1.1k
Mohamed M. Khalifa Egypt 23 612 0.7× 537 2.0× 150 1.4× 118 1.2× 73 0.9× 49 1.2k
Huiping Zhao United States 26 968 1.1× 277 1.0× 175 1.6× 313 3.3× 76 0.9× 58 1.6k
Tony Eight Lin Taiwan 18 644 0.7× 175 0.6× 220 2.0× 71 0.7× 45 0.6× 60 881
Evgeny Kiselev United States 21 928 1.0× 421 1.6× 137 1.2× 52 0.5× 88 1.1× 40 1.3k
Meiyang Xi China 15 534 0.6× 189 0.7× 113 1.0× 47 0.5× 27 0.3× 29 745

Countries citing papers authored by Xiaoke Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoke Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoke Guo. A scholar is included among the top collaborators of Xiaoke Guo 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 Xiaoke Guo. Xiaoke Guo 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.
Wu, Tingting, Danyan Cao, Yali Chen, et al.. (2025). Multi-Water Bridges Enable Design of BET BD1-Selective Inhibitors for Pancreatic Cancer Therapy. Journal of Medicinal Chemistry. 68(5). 5719–5735. 4 indexed citations
2.
Wu, Tingting, Yali Chen, Hong Wu, et al.. (2025). Supramolecular Host–Guest Assemblies for Tunable and Modular Lysosome‐Targeting Protein Degradation. Angewandte Chemie International Edition. 64(33). e202506618–e202506618.
3.
Jiang, Zheng, et al.. (2024). Recent advances in targeting histone H3 lysine 36 methyltransferases for cancer therapy. European Journal of Medicinal Chemistry. 274. 116532–116532. 5 indexed citations
4.
You, Qidong, et al.. (2024). Recent advances in the design of small molecular drugs with acrylamides covalent warheads. Bioorganic & Medicinal Chemistry. 112. 117902–117902. 3 indexed citations
5.
Wang, Yingzhe, et al.. (2024). Targeting insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) for the treatment of cancer. European Journal of Medicinal Chemistry. 268. 116241–116241. 7 indexed citations
6.
Yang, Yan, Xiaoke Guo, Jing Wang, et al.. (2024). Targeted screening, characterization and sources of per- and polyfluoroalkyl substances in plateau lake Yangzonghai, China. Environmental Geochemistry and Health. 47(2). 36–36.
7.
Chen, Xuetao, Tingting Wu, Rujun Xu, et al.. (2023). Discovery of a brain-permeable bromodomain and extra terminal domain (BET) inhibitor with selectivity for BD1 for the treatment of multiple sclerosis. European Journal of Medicinal Chemistry. 265. 116080–116080. 10 indexed citations
8.
Li, Hongyu, et al.. (2023). The development of small molecules targeting methyltransferase-like 3. Drug Discovery Today. 28(4). 103513–103513. 16 indexed citations
9.
10.
Yang, Qian, et al.. (2022). Design, synthesis, and biological evaluation of arylmethylpiperidines as Kv1.5 potassium channel inhibitors. Journal of Enzyme Inhibition and Medicinal Chemistry. 37(1). 462–471.
11.
Chen, Weilin, Xin Chen, Dongdong Li, et al.. (2021). Discovery of a potent MLL1 and WDR5 protein-protein interaction inhibitor with in vivo antitumor activity. European Journal of Medicinal Chemistry. 223. 113677–113677. 16 indexed citations
12.
Wang, Zhihui, Dongdong Li, Weilin Chen, Qidong You, & Xiaoke Guo. (2017). Targeting protein-protein interaction between MLL1 and reciprocal proteins for leukemia therapy. Bioorganic & Medicinal Chemistry. 26(2). 356–365. 13 indexed citations
13.
Li, Dong‐Dong, Weilin Chen, Zhihui Wang, et al.. (2016). High-affinity small molecular blockers of mixed lineage leukemia 1 (MLL1)-WDR5 interaction inhibit MLL1 complex H3K4 methyltransferase activity. European Journal of Medicinal Chemistry. 124. 480–489. 39 indexed citations
14.
Wei, Jinlian, Yingrui Yang, Yali Li, et al.. (2016). Synthesis and evaluation of N-(benzofuran-5-yl)aromaticsulfonamide derivatives as novel HIF-1 inhibitors that possess anti-angiogenic potential. Bioorganic & Medicinal Chemistry. 25(6). 1737–1746. 16 indexed citations
15.
Guo, Xiaoke, et al.. (2016). A Double-Lobe Flap Design Combined Nasolabial Advancement and Infraorbital Rotation for Reconstruction of Infraorbital Defect. Journal of Craniofacial Surgery. 27(4). e389–e390.
16.
Li, Dong‐Dong, Weilin Chen, Xiaoli Xu, et al.. (2016). Structure-based design and synthesis of small molecular inhibitors disturbing the interaction of MLL1-WDR5. European Journal of Medicinal Chemistry. 118. 1–8. 38 indexed citations
17.
Jia, Jianmin, Fang Liu, Xiaoli Xu, et al.. (2014). Synthesis and evaluation of a novel class Hsp90 inhibitors containing 1-phenylpiperazine scaffold. Bioorganic & Medicinal Chemistry Letters. 24(6). 1557–1561. 5 indexed citations
18.
Guo, Xiaoke, Qian Yang, Jing Xu, et al.. (2014). Discovery of 1-aryloxyethyl piperazine derivatives as Kv1.5 potassium channel inhibitors (part I). European Journal of Medicinal Chemistry. 81. 89–94. 17 indexed citations
19.
20.
Guo, Xiaoke, Qian Yang, Jing Xu, et al.. (2013). Design and bio-evaluation of indole derivatives as potent Kv1.5 inhibitors. Bioorganic & Medicinal Chemistry. 21(21). 6466–6476. 23 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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