Zunyun Fu

1.1k total citations · 1 hit paper
29 papers, 717 citations indexed

About

Zunyun Fu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Zunyun Fu has authored 29 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 6 papers in Organic Chemistry. Recurrent topics in Zunyun Fu's work include Computational Drug Discovery Methods (13 papers), Microbial Natural Products and Biosynthesis (6 papers) and Chemical Synthesis and Analysis (5 papers). Zunyun Fu is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Microbial Natural Products and Biosynthesis (6 papers) and Chemical Synthesis and Analysis (5 papers). Zunyun Fu collaborates with scholars based in China, Germany and United States. Zunyun Fu's co-authors include Mingyue Zheng, Xutong Li, Hualiang Jiang, Kaixian Chen, Xiaohong Liu, Xiaomin Luo, Xiaoqin Tan, Feisheng Zhong, Xiaolong Wu and Zhaojun Li and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Zunyun Fu

28 papers receiving 704 citations

Hit Papers

align trajectories sort by overperformance

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.

Fine-tuning large language models for chemical text mining

2024 51 citations Wei Zhang, Jiacheng Xiong et al. Chemical Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zunyun Fu China	15	345	335	142	125	61	29	717
Jeff Blaney United States	7	342 1.0×	392 1.2×	179 1.3×	88 0.7×	45 0.7×	10	680
Stefano Rensi United States	7	375 1.1×	493 1.5×	201 1.4×	55 0.4×	62 1.0×	10	804
Lewis Mervin United Kingdom	15	410 1.2×	340 1.0×	149 1.0×	102 0.8×	48 0.8×	32	736
Ryan Byrne Switzerland	4	331 1.0×	382 1.1×	193 1.4×	58 0.5×	57 0.9×	8	692
Khanh Tang United States	4	463 1.3×	484 1.4×	177 1.2×	84 0.7×	85 1.4×	6	756
Filip Miljković Germany	16	460 1.3×	554 1.7×	163 1.1×	97 0.8×	91 1.5×	43	806
Fangjin Chen China	10	431 1.2×	310 0.9×	100 0.7×	62 0.5×	58 1.0×	17	795
Nicolas Bosc United Kingdom	9	424 1.2×	419 1.3×	124 0.9×	57 0.5×	73 1.2×	13	715
Christoph Gorgulla United States	9	481 1.4×	332 1.0×	112 0.8×	73 0.6×	40 0.7×	16	690
Vladimir Aladinskiy Russia	9	360 1.0×	431 1.3×	301 2.1×	94 0.8×	33 0.5×	17	764

Countries citing papers authored by Zunyun Fu

Since Specialization

Citations

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

Fields of papers citing papers by Zunyun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zunyun Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Wei, Xutong Li, Zhaoping Xiong, et al.. (2025). NMRExtractor: leveraging large language models to construct an experimental NMR database from open-source scientific publications. Chemical Science. 16(25). 11548–11558. 4 indexed citations

Xiong, Zhaoping, Huan Chen, Jiacheng Xiong, et al.. (2024). FAPM: functional annotation of proteins using multimodal models beyond structural modeling. Bioinformatics. 40(12). 2 indexed citations

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 →

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

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

Fu, Zunyun, Lijun Liu, Xiaochen Chen, et al.. (2024). Discovery of a terpene synthase synthesizing a nearly non-flexible eunicellane reveals the basis of flexibility. Nature Communications. 15(1). 5940–5940. 9 indexed citations

Fu, Xiao, Jie Yu, Zunyun Fu, et al.. (2024). Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty. Molecular Pharmaceutics. 21(12). 6177–6192. 2 indexed citations

Zhang, Weijie, Zunyun Fu, Yanqiong Liu, et al.. (2023). Versatile Biocatalytic C(sp³)−H Oxyfunctionalization for the Site‐ Selective and Stereodivergent Synthesis of α‐ and β‐Hydroxy Acids. Angewandte Chemie International Edition. 62(33). e202305250–e202305250. 7 indexed citations

Xiong, Jiacheng, Rongrong Cui, Zhaojun Li, et al.. (2023). Transfer learning enhanced graph neural network for aldehyde oxidase metabolism prediction and its experimental application. Acta Pharmaceutica Sinica B. 14(2). 623–634. 3 indexed citations

10.

Liu, Yanqiong, et al.. (2023). Asymmetric C₁ Extension of Aldehydes through Biocatalytic Cascades for Stereodivergent Synthesis of Mandelic Acids. Angewandte Chemie International Edition. 62(20). e202300906–e202300906. 10 indexed citations

11.

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

12.

Wan, Xiaozhe, Xiaolong Wu, Dingyan Wang, et al.. (2022). An inductive graph neural network model for compound–protein interaction prediction based on a homogeneous graph. Briefings in Bioinformatics. 23(3). 17 indexed citations

13.

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

14.

Xu, Hui, Biao Ma, Zunyun Fu, et al.. (2021). Ligand-Promoted Alkynylation of Aryl Ketones: A Practical Tool for Structural Diversity in Drugs and Natural Products. ACS Catalysis. 11(3). 1758–1764. 31 indexed citations

15.

Zhong, Feisheng, Xiaolong Wu, Ruirui Yang, et al.. (2021). Drug target inference by mining transcriptional data using a novel graph convolutional network framework. Protein & Cell. 13(4). 281–301. 29 indexed citations

16.

Yang, Tianbiao, Zhaojun Li, Yingjia Chen, et al.. (2020). DrugSpaceX: a large screenable and synthetically tractable database extending drug space. Nucleic Acids Research. 49(D1). D1170–D1178. 26 indexed citations

17.

Fu, Zunyun, Xutong Li, Zhaohui Wang, et al.. (2020). Optimizing chemical reaction conditions using deep learning: a case study for the Suzuki–Miyaura cross-coupling reaction. Organic Chemistry Frontiers. 7(16). 2269–2277. 35 indexed citations

18.

Li, Xutong, Zhaojun Li, Xiaolong Wu, et al.. (2019). Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation. Journal of Medicinal Chemistry. 63(16). 8723–8737. 62 indexed citations

19.

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

20.

Lu, Jing, Dong Lu, Zunyun Fu, Mingyue Zheng, & Xiaomin Luo. (2018). Machine Learning-Based Modeling of Drug Toxicity. Methods in molecular biology. 1754. 247–264. 16 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.

Explore authors with similar magnitude of impact