Linli Li

3.0k total citations
111 papers, 2.0k citations indexed

About

Linli Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Linli Li has authored 111 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 21 papers in Organic Chemistry. Recurrent topics in Linli Li's work include Computational Drug Discovery Methods (26 papers), Synthesis and biological activity (9 papers) and Analytical Chemistry and Chromatography (9 papers). Linli Li is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Synthesis and biological activity (9 papers) and Analytical Chemistry and Chromatography (9 papers). Linli Li collaborates with scholars based in China, United States and Hong Kong. Linli Li's co-authors include Shengyong Yang, Yuquan Wei, Guo‐Bo Li, Huanzhang Xie, Qi Huang, Lingling Yang, Wenjing Wang, Ji-Xia Ren, Jun Zou and Qingqing Xie and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Linli Li

108 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linli Li China 26 1.2k 550 444 292 169 111 2.0k
Alberto Del Río Italy 29 1.6k 1.3× 576 1.0× 356 0.8× 411 1.4× 221 1.3× 78 2.9k
Natasja Brooijmans United States 24 1.8k 1.5× 666 1.2× 733 1.7× 208 0.7× 220 1.3× 42 2.6k
Parvez Κhan India 33 1.6k 1.3× 378 0.7× 618 1.4× 523 1.8× 154 0.9× 85 2.9k
Adam Yasgar United States 25 1.4k 1.1× 540 1.0× 271 0.6× 286 1.0× 116 0.7× 51 2.4k
Xiaojun Yao Macao 23 989 0.8× 303 0.6× 211 0.5× 255 0.9× 165 1.0× 99 1.9k
Chenzhong Liao China 29 1.5k 1.2× 357 0.6× 530 1.2× 599 2.1× 88 0.5× 107 2.5k
Mohane Selvaraj Coumar India 27 1.2k 1.0× 298 0.5× 577 1.3× 511 1.8× 74 0.4× 96 2.3k
Weiqiang Lü China 31 2.1k 1.7× 1.1k 2.0× 400 0.9× 329 1.1× 189 1.1× 97 3.3k
Nam Doo Kim South Korea 32 1.8k 1.5× 230 0.4× 454 1.0× 384 1.3× 103 0.6× 102 2.9k
Matthias Wirth Germany 19 1.3k 1.1× 515 0.9× 255 0.6× 453 1.6× 59 0.3× 44 2.2k

Countries citing papers authored by Linli Li

Since Specialization
Citations

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

Fields of papers citing papers by Linli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linli Li

This figure shows the co-authorship network connecting the top 25 collaborators of Linli Li. A scholar is included among the top collaborators of Linli 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 Linli Li. Linli 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.
Li, Linli, et al.. (2025). MSDUNet: A Model Based on Feature Multi-Scale and Dual-Input Dynamic Enhancement for Skin Lesion Segmentation. IEEE Transactions on Medical Imaging. 44(7). 2819–2830. 2 indexed citations
2.
Xiong, Liang, Feng Li, Yinping Guo, et al.. (2024). Discovery of a Potent and Cell-Active Inhibitor of DNA 6mA Demethylase ALKBH1. Journal of the American Chemical Society. 146(10). 6992–7006. 8 indexed citations
3.
Li, Feng, Liang Xiong, Jian Zhang, et al.. (2024). Structural Optimization and Structure–Activity Relationship of 1H-Pyrazole-4-carboxylic Acid Derivatives as DNA 6mA Demethylase ALKBH1 Inhibitors and Their Antigastric Cancer Activity. Journal of Medicinal Chemistry. 67(17). 15456–15475. 1 indexed citations
4.
Huang, Chong, Jingxin Qiao, Yueyue Li, et al.. (2023). Discovery of 3-phenyl-1,2,4-oxadiazole derivatives as a new class of SARS-CoV-2 main protease inhibitors. Bioorganic & Medicinal Chemistry Letters. 86. 129238–129238. 4 indexed citations
5.
Zhang, Yun, Jiao Yan, Anjie Xia, et al.. (2023). Discovery of a novel pyroptosis inhibitor acting though modulating glutathionylation to suppress NLRP3-related signal pathway. International Immunopharmacology. 127. 111314–111314. 5 indexed citations
6.
Li, Yueshan, Yifei Wang, Jun Zou, et al.. (2022). Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor. Nature Communications. 13(1). 6891–6891. 55 indexed citations
7.
Yang, Wei, Bo Mu, Jing You, et al.. (2022). Non-classical ferroptosis inhibition by a small molecule targeting PHB2. Nature Communications. 13(1). 7473–7473. 41 indexed citations
8.
Yan, Jiao, Bo Mu, Yun Zhang, et al.. (2022). Discovery of a novel and potent inhibitor with differential species-specific effects against NLRP3 and AIM2 inflammasome-dependent pyroptosis. European Journal of Medicinal Chemistry. 232. 114194–114194. 43 indexed citations
9.
10.
Sun, Weining, Xiuli Chen, Shenzhen Huang, et al.. (2020). Discovery of 5-(4-methylpiperazin-1-yl)-2-nitroaniline derivatives as a new class of SIRT6 inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(16). 127215–127215. 13 indexed citations
11.
Yang, Wei, Xiaolong Liu, Chunli Song, et al.. (2020). Structure-activity relationship studies of phenothiazine derivatives as a new class of ferroptosis inhibitors together with the therapeutic effect in an ischemic stroke model. European Journal of Medicinal Chemistry. 209. 112842–112842. 58 indexed citations
12.
Huang, Shenzhen, Xiang Wang, Guifeng Lin, et al.. (2019). Discovery of human TyrRS inhibitors by structure-based virtual screening, structural optimization, and bioassays. RSC Advances. 9(16). 9323–9330. 2 indexed citations
13.
Zhang, Chunhui, Kai Chen, Mei Huang, et al.. (2015). Preclinical Evaluation of a Novel Orally Available SRC/Raf/VEGFR2 Inhibitor, SKLB646, in the Treatment of Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 15(3). 366–378. 24 indexed citations
14.
Li, Linli. (2014). Rapid determination of soybean protein and crude fat content by near-infrared transmittance spectroscopy. 2 indexed citations
15.
Zou, Jun, Yinglan Zhao, Linli Li, et al.. (2012). Neighbor communities in drug combination networks characterize synergistic effect. Molecular BioSystems. 8(12). 3185–3196. 31 indexed citations
16.
Li, Linli. (2009). A Survey of Human Face Recognition.
17.
Wang, Huiyuan, Zhixing Cao, Linli Li, et al.. (2008). Pharmacophore modeling and virtual screening for designing potential PLK1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(18). 4972–4977. 27 indexed citations
18.
Li, Linli, et al.. (2007). Evaluation of antioxidants using oxidation reaction rate constants. Frontiers of Chemistry in China. 2(2). 140–145. 6 indexed citations
19.
Li, Qiang, et al.. (2006). Application of Electron Probe Method on Quality Identification of Flos Lonicerae. Lishizhen Medicine and Materia Medica Research. 1 indexed citations
20.
Li, Linli, et al.. (2001). Influence of Light and Heat on the Stability of Rotundine Sulfate Injection. Journal of Pharmaceutical Sciences. 90(10). 1497–1504. 3 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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