Xutong Li

3.2k total citations · 3 hit papers
67 papers, 2.0k citations indexed

About

Xutong Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xutong Li has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 35 papers in Computational Theory and Mathematics and 17 papers in Materials Chemistry. Recurrent topics in Xutong Li's work include Computational Drug Discovery Methods (35 papers), Machine Learning in Materials Science (17 papers) and Protein Structure and Dynamics (10 papers). Xutong Li is often cited by papers focused on Computational Drug Discovery Methods (35 papers), Machine Learning in Materials Science (17 papers) and Protein Structure and Dynamics (10 papers). Xutong Li collaborates with scholars based in China, Germany and United States. Xutong Li's co-authors include Mingyue Zheng, Hualiang Jiang, Xiaohong Liu, Feisheng Zhong, Zhaoping Xiong, Dingyan Wang, Kaixian Chen, Xiaomin Luo, Zhaojun Li and Xiaozhe Wan and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xutong Li

59 papers receiving 1.9k citations

Hit Papers

Pushing the Boundaries of Molecular Representation for Dr... 2019 2026 2021 2023 2019 2022 2024 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism
    2019 645 citations Zhaoping Xiong, Dingyan Wang et al. profile →
  2. Engineered bioorthogonal POLY-PROTAC nanoparticles for tumour-specific protein degradation and precise cancer therapy
    2022 143 citations Xutong Li, Mingyue Zheng et al. profile →
  3. Fine-tuning large language models for chemical text mining
    2024 51 citations Wei Zhang, Jiacheng Xiong et al. Chemical Science profile →

Peers

Xutong Li
Dingyan Wang China
Feisheng Zhong China
Michaela Spitzer United Kingdom
Jessica Vamathevan United Kingdom
Brian Kelley United States
Zhaoping Xiong China
Isidro Cortés‐Ciriano United Kingdom
Emma J. Chory United States
Guo‐Wei Wei United States
Christian Tyrchan Sweden
Dingyan Wang China
Xutong Li
Citations per year, relative to Xutong Li Xutong Li (= 1×) peers Dingyan Wang

Countries citing papers authored by Xutong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xutong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xutong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xutong Li. A scholar is included among the top collaborators of Xutong Li 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 Xutong Li. Xutong Li 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.
2.
Zhang, Wei, Jiacheng Xiong, Yameng Li, et al.. (2024). Fine-tuning large language models for chemical text mining. Chemical Science. 15(27). 10600–10611. 51 indexed citations breakdown →
3.
Wang, Gang, Qun Ren, Ning Qu, et al.. (2024). In silico off-target profiling for enhanced drug safety assessment. Acta Pharmaceutica Sinica B. 14(7). 2927–2941. 18 indexed citations
4.
Yu, Jie, Xiang Zhang, Yijie Chen, et al.. (2024). Reducing overconfident errors in molecular property classification using Posterior Network. Patterns. 5(6). 100991–100991. 4 indexed citations
5.
Zhang, Runze, Zhaokun Wang, Jie Yu, et al.. (2024). SurfDock is a surface-informed diffusion generative model for reliable and accurate protein–ligand complex prediction. Nature Methods. 22(2). 310–322. 28 indexed citations
6.
Li, Zhaojun, Ning Qu, Jingjing Sun, et al.. (2024). KinomeMETA: a web platform for kinome-wide polypharmacology profiling with meta-learning. Nucleic Acids Research. 52(W1). W489–W497. 6 indexed citations
7.
8.
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
9.
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
10.
Cao, Feng, et al.. (2023). Single-cell and genetic multi-omics analysis combined with experiments confirmed the signature and potential targets of cuproptosis in hepatocellular carcinoma. Frontiers in Cell and Developmental Biology. 11. 1240390–1240390. 3 indexed citations
11.
Zhou, Mi, Gang Wang, Xutong Li, et al.. (2023). Evaluation of bladder filling effects on the dose distribution during radiotherapy for cervical cancer based on daily CT images. Journal of Applied Clinical Medical Physics. 24(11). e14097–e14097. 4 indexed citations
12.
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
13.
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
14.
Di, Peiwen, Mingyue Zheng, Tianbiao Yang, et al.. (2022). Prediction of serious eye damage or eye irritation potential of compounds via consensus labelling models and active learning models based on uncertainty strategies. Food and Chemical Toxicology. 169. 113420–113420. 4 indexed citations
15.
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
16.
Zhang, Zehong, Lifan Chen, Feisheng Zhong, et al.. (2022). Graph neural network approaches for drug-target interactions. Current Opinion in Structural Biology. 73. 102327–102327. 107 indexed citations
17.
Wang, Yan, Zunyun Fu, Xutong Li, et al.. (2021). Cytoplasmic DNA sensing by KU complex in aged CD4+ T cell potentiates T cell activation and aging-related autoimmune inflammation. Immunity. 54(4). 632–647.e9. 54 indexed citations
18.
Wang, Dingyan, Jie Yu, Lifan Chen, et al.. (2021). A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. Journal of Cheminformatics. 13(1). 69–69. 20 indexed citations
19.
Li, Fei, Xiaozhe Wan, Jing Xing, et al.. (2019). Deep Neural Network Classifier for Virtual Screening Inhibitors of (S)-Adenosyl-L-Methionine (SAM)-Dependent Methyltransferase Family. Frontiers in Chemistry. 7. 324–324. 6 indexed citations
20.
Zhong, Feisheng, Jing Xing, Xutong Li, et al.. (2018). Artificial intelligence in drug design. Science China Life Sciences. 61(10). 1191–1204. 158 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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