Xiaochu Tong

476 total citations
14 papers, 293 citations indexed

About

Xiaochu Tong is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Xiaochu Tong has authored 14 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Xiaochu Tong's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Chemical Synthesis and Analysis (3 papers). Xiaochu Tong is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Chemical Synthesis and Analysis (3 papers). Xiaochu Tong collaborates with scholars based in China, Germany and United States. Xiaochu Tong's co-authors include Mingyue Zheng, Xutong Li, Xiaoqin Tan, Hualiang Jiang, Tingyang Xu, Xiaohong Liu, Nan Qiao, Jiaxin Jiang, Zhaoping Xiong and Sulin Zhang and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and Briefings in Bioinformatics.

In The Last Decade

Xiaochu Tong

11 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaochu Tong China	7	185	164	82	28	21	14	293
Sezen Vatansever United States	7	118 0.6×	244 1.5×	66 0.8×	28 1.0×	24 1.1×	11	449
Tomasz Danel Poland	8	191 1.0×	142 0.9×	139 1.7×	23 0.8×	15 0.7×	16	304
Kristy A. Carpenter United States	7	172 0.9×	199 1.2×	59 0.7×	12 0.4×	23 1.1×	13	349
Sybilla Corbett United Kingdom	3	261 1.4×	271 1.7×	82 1.0×	23 0.8×	36 1.7×	5	486
Brandon J. Bongers Netherlands	6	266 1.4×	244 1.5×	95 1.2×	23 0.8×	43 2.0×	8	343
Jintu Zhang China	9	160 0.9×	181 1.1×	77 0.9×	13 0.5×	21 1.0×	15	271
Vigneshwari Subramanian United Kingdom	8	210 1.1×	243 1.5×	76 0.9×	10 0.4×	27 1.3×	15	328
Kristina Preuer Austria	2	274 1.5×	258 1.6×	74 0.9×	17 0.6×	29 1.4×	2	384
Duancheng Zhao China	7	226 1.2×	148 0.9×	106 1.3×	25 0.9×	8 0.4×	9	294
Yann Gaston‐Mathé France	7	147 0.8×	160 1.0×	73 0.9×	31 1.1×	19 0.9×	13	259

Countries citing papers authored by Xiaochu Tong

Since Specialization

Citations

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

Fields of papers citing papers by Xiaochu Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochu Tong

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

All Works

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14 of 14 papers shown

Chen, Yang, Chaoyang Wei, Yanjun Zheng, et al.. (2025). Advancing active compound discovery for novel drug targets: insights from AI-driven approaches. Acta Pharmacologica Sinica. 46(11). 2865–2876. 1 indexed citations

Wang, Dan, Xiaochu Tong, Yuxin Xing, et al.. (2025). AI-Empowered Discovery of the First WRN Degrader for MSI-High Cancer Therapy. ChemRxiv.

Zhang, Yingying, Zhaokun Wang, Zunyun Fu, et al.. (2024). Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics. Cell Genomics. 4(10). 100655–100655. 5 indexed citations

Tong, Xiaochu, Ning Qu, Jingyi Zhou, et al.. (2024). Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery. Nature Communications. 15(1). 5378–5378. 22 indexed citations

Wu, Xiaolong, Xiaochu Tong, Yitian Wang, et al.. (2024). miCGR: interpretable deep neural network for predicting both site-level and gene-level functional targets of microRNA. Briefings in Bioinformatics. 26(1).

Ren, Qun, Ning Qu, Jingyi Zhou, et al.. (2023). KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling. Briefings in Bioinformatics. 25(1). 9 indexed citations

Wang, Yitian, Jiacheng Xiong, Xiao Fu, et al.. (2023). LogD7.4 prediction enhanced by transferring knowledge from chromatographic retention time, microscopic pKa and logP. Journal of Cheminformatics. 15(1). 76–76. 19 indexed citations

Wang, Gang, Rui Li, Qun Ren, et al.. (2023). Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation. Journal of Cheminformatics. 15(1). 57–57. 3 indexed citations

Liu, Xiaohong, Wei Zhang, Xiaochu Tong, et al.. (2023). MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules. Journal of Cheminformatics. 15(1). 42–42. 14 indexed citations

10.

Tong, Xiaochu, Dingyan Wang, Xiaoyu Ding, et al.. (2022). Blood–brain barrier penetration prediction enhanced by uncertainty estimation. Journal of Cheminformatics. 14(1). 44–44. 29 indexed citations

11.

Du, Weiwei, Feifei Hao, Xiaochu Tong, et al.. (2022). Design, synthesis, and LFA-1/ICAM-1 antagonist activity evaluation of Lifitegrast analogues. Medicinal Chemistry Research. 31(4). 555–579. 5 indexed citations

12.

Tong, Xiaochu, Xiaohong Liu, Xiaoqin Tan, et al.. (2021). Generative Models for De Novo Drug Design. Journal of Medicinal Chemistry. 64(19). 14011–14027. 135 indexed citations

13.

Tan, Xiaoqin, Chunpu Li, Ruirui Yang, et al.. (2021). Discovery of Pyrazolo[3,4- d ]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation. Journal of Medicinal Chemistry. 65(1). 103–119. 51 indexed citations

14.

Tan, Xiaoqin, Xiaochu Tong, Mingyue Zheng, et al.. (2019). Development of drug design in China: 40 years of achievements. 49(11). 1375–1394.

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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