Minjun Li

1.8k total citations
60 papers, 801 citations indexed

About

Minjun Li is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Minjun Li has authored 60 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Minjun Li's work include Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (6 papers) and Brain Metastases and Treatment (5 papers). Minjun Li is often cited by papers focused on Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (6 papers) and Brain Metastases and Treatment (5 papers). Minjun Li collaborates with scholars based in China, United States and Germany. Minjun Li's co-authors include Yechun Xu, Jianhua He, Wenfeng Zhao, Haixia Su, Huan Zhou, Feng Yu, Muya Xiong, Qiang Shao, Hualiang Jiang and Zhijun Wang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Minjun Li

55 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minjun Li China 14 394 207 115 114 112 60 801
Ana C. Puhl United States 16 494 1.3× 378 1.8× 141 1.2× 88 0.8× 72 0.6× 48 1.0k
Lazaros Mavridis United Kingdom 13 668 1.7× 319 1.5× 46 0.4× 114 1.0× 116 1.0× 25 1.1k
Yan Niu China 18 329 0.8× 60 0.3× 59 0.5× 69 0.6× 181 1.6× 58 923
Woong‐Hee Shin South Korea 18 756 1.9× 455 2.2× 108 0.9× 83 0.7× 89 0.8× 43 1.1k
Konda Mani Saravanan India 19 648 1.6× 318 1.5× 114 1.0× 45 0.4× 105 0.9× 95 1.1k
Seyed Shahriar Arab Iran 20 761 1.9× 184 0.9× 44 0.4× 43 0.4× 57 0.5× 87 1.2k
Matteo Floris Italy 19 763 1.9× 455 2.2× 56 0.5× 79 0.7× 65 0.6× 57 1.3k
Yanjing Wang China 21 794 2.0× 343 1.7× 122 1.1× 55 0.5× 29 0.3× 74 1.3k
Sebastian Bittrich United States 12 762 1.9× 131 0.6× 69 0.6× 31 0.3× 85 0.8× 23 1.1k

Countries citing papers authored by Minjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Minjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Minjun Li. A scholar is included among the top collaborators of Minjun 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 Minjun Li. Minjun 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.
Xie, Hang, Wanchen Li, Minjun Li, et al.. (2025). Identification of RIPK3 as a target of flavonoids for anti-necroptosis in vitro. Bioorganic Chemistry. 161. 108503–108503.
2.
Remšík, Ján, Xinran Tong, Russell Kunes, et al.. (2025). Interferon-γ orchestrates leptomeningeal anti-tumour response. Nature. 643(8073). 1087–1096. 8 indexed citations
3.
Wang, Weiwei, Zhimin Zhu, Qianhui Li, et al.. (2025). XFBLD-Platform: a crystallographic fragment-screening platform at Shanghai Synchrotron Radiation Facility. Acta Crystallographica Section D Structural Biology. 81(9). 482–491.
4.
Su, Haixia, Guofeng Chen, Hang Xie, et al.. (2025). Structure-based design of potent and selective inhibitors targeting RIPK3 for eliminating on-target toxicity in vitro. Nature Communications. 16(1). 4288–4288. 4 indexed citations
5.
Zhou, Xuefang, Minjun Li, Meihua Bi, Guowei Yang, & Miao Hu. (2024). Research on the Teaching of Laser Chaotic Communication Based on Optisystem and Matlab Software. Electronics. 13(16). 3274–3274.
6.
Derderian, Camille, Ján Remšík, Helen H. Wang, et al.. (2023). BSLD-05 ESTABLISHMENT AND CHARACTERIZATION OF MOUSE MODELS OF LEPTOMENINGEAL METASTASIS. Neuro-Oncology Advances. 5(Supplement_3). iii6–iii6.
7.
Zhou, Xuefang, et al.. (2023). Image encryption scheme based on optical chaos and DNA Rubik’s cube algorithm. Physica Scripta. 98(11). 115507–115507. 11 indexed citations
8.
Zhang, Xianglei, Guofeng Chen, Qiang Shao, et al.. (2023). Drug repurposing and structure-based discovery of new PDE4 and PDE5 inhibitors. European Journal of Medicinal Chemistry. 262. 115893–115893. 6 indexed citations
9.
Chen, Guofeng, Hang Xie, Qiang Shao, et al.. (2023). Structure-based design of potent FABP4 inhibitors with high selectivity against FABP3. European Journal of Medicinal Chemistry. 264. 115984–115984. 3 indexed citations
10.
Xiong, Muya, et al.. (2023). Discovery of novel cGAS inhibitors based on natural flavonoids. Bioorganic Chemistry. 140. 106802–106802. 9 indexed citations
11.
Xiong, Muya, et al.. (2022). In silico screening-based discovery of novel covalent inhibitors of the SARS-CoV-2 3CL protease. European Journal of Medicinal Chemistry. 231. 114130–114130. 20 indexed citations
12.
Li, Minjun, et al.. (2022). Characterization of the complete chloroplast genome of the medicinal herb Eleutherococcus nodiflorus and its phylogenetic implications. SHILAP Revista de lepidopterología. 7(11). 1890–1892. 1 indexed citations
13.
Ruan, Zhihua, Weihua Cai, Shuyun Cai, et al.. (2022). Propofol Upregulates MicroRNA‐30b to Inhibit Excessive Autophagy and Apoptosis and Attenuates Ischemia/Reperfusion Injury In Vitro and in Patients. Oxidative Medicine and Cellular Longevity. 2022(1). 2109891–2109891. 10 indexed citations
14.
Gao, Jing, Chen Zhou, Li Shi, et al.. (2022). Dipyridamole interacts with the N-terminal domain of HSP90 and antagonizes the function of the chaperone in multiple cancer cell lines. Biochemical Pharmacology. 207. 115376–115376. 3 indexed citations
15.
Li, Minjun, Rong‐Rui Huo, Xiumei Liang, et al.. (2021). Clinical effect of re-hepatic resection versus radiofrequency ablation in treatment of recurrent hepatocellular carcinoma in Asia: A Meta-analysis. 37(5). 1103–1109. 1 indexed citations
16.
Su, Haixia, Sheng Yao, Wenfeng Zhao, et al.. (2021). Identification of pyrogallol as a warhead in design of covalent inhibitors for the SARS-CoV-2 3CL protease. Nature Communications. 12(1). 3623–3623. 142 indexed citations
17.
Li, Minjun, Qing Li, Rong‐Rui Huo, et al.. (2020). Serum prealbumin predicts prognosis of hepatectomy in patients with hepatocellular carcinoma. Zhonghua gan-dan waike zazhi. 26(1). 27–31. 2 indexed citations
18.
Irvine, Mark W., Erica S. Burnell, Kiran Sapkota, et al.. (2020). Structural basis of subtype-selective competitive antagonism for GluN2C/2D-containing NMDA receptors. Nature Communications. 11(1). 423–423. 25 indexed citations
19.
Li, Minjun, Chao Peng, Yue Yin, et al.. (2019). Large conformation shifts of Vibrio cholerae VqmA dimer in the absence of target DNA provide insight into DNA-binding mechanisms of LuxR-type receptors. Biochemical and Biophysical Research Communications. 520(2). 399–405. 8 indexed citations
20.
Zhao, Rui-Wei, et al.. (2015). NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection.. TRECVID. 1 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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