Aimin Li

5.4k total citations · 3 hit papers
171 papers, 3.5k citations indexed

About

Aimin Li is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Aimin Li has authored 171 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 26 papers in Cancer Research and 22 papers in Plant Science. Recurrent topics in Aimin Li's work include Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (13 papers) and MicroRNA in disease regulation (13 papers). Aimin Li is often cited by papers focused on Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (13 papers) and MicroRNA in disease regulation (13 papers). Aimin Li collaborates with scholars based in China, United States and Canada. Aimin Li's co-authors include Zhongyin Zhou, Junying Zhang, Saurav Mallik, Zhongming Zhao, Parviz Minoo, Sarah Teatero, Nahuel Fittipaldi, Jinglong Chen, Yajun Liu and Tongyang Pan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Aimin Li

159 papers receiving 3.4k citations

Hit Papers

PLEK: a tool for predicting long non-coding RNAs and mess... 2014 2026 2018 2022 2014 2024 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aimin Li China 30 1.6k 788 364 355 299 171 3.5k
Jing Feng China 36 3.3k 2.0× 1.5k 1.9× 293 0.8× 335 0.9× 239 0.8× 168 4.6k
Xiaofeng Chen China 33 1.6k 1.0× 643 0.8× 238 0.7× 225 0.6× 376 1.3× 231 4.0k
Jong Kim South Korea 36 3.6k 2.2× 1.0k 1.3× 178 0.5× 336 0.9× 156 0.5× 132 6.1k
Jian Huang China 42 3.9k 2.4× 358 0.5× 333 0.9× 467 1.3× 123 0.4× 333 6.1k
Liang Tang China 31 1.3k 0.8× 643 0.8× 465 1.3× 305 0.9× 130 0.4× 148 3.6k
Shan Zhang China 26 2.1k 1.3× 958 1.2× 545 1.5× 311 0.9× 153 0.5× 128 3.8k
Jun Wu China 26 2.1k 1.3× 769 1.0× 194 0.5× 280 0.8× 51 0.2× 128 3.6k
Li Zhao China 33 1.6k 0.9× 635 0.8× 338 0.9× 363 1.0× 55 0.2× 233 3.9k
Chien‐Yu Chen Taiwan 34 2.3k 1.4× 230 0.3× 403 1.1× 241 0.7× 715 2.4× 198 5.2k
Zhen Shao China 30 2.8k 1.7× 330 0.4× 292 0.8× 376 1.1× 92 0.3× 57 4.2k

Countries citing papers authored by Aimin Li

Since Specialization
Citations

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

Fields of papers citing papers by Aimin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Aimin Li. A scholar is included among the top collaborators of Aimin 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 Aimin Li. Aimin 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.
Fei, Rong, et al.. (2025). Deep core node information embedding on networks with missing edges for community detection. Information Sciences. 707. 122039–122039. 22 indexed citations breakdown →
2.
Li, Li, Sheng Zhou, Kang Tang, et al.. (2025). Preclinical Characterization of IBI3002, an Anti-IL-4Rα and Anti-TSLP Bispecific Antibody That Potently Dampens Inflammatory Response and Alleviates Asthma in Mice. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7432–A7432. 1 indexed citations
3.
Liu, Teng, et al.. (2024). Efficient crop segmentation net and novel weed detection method. European Journal of Agronomy. 161. 127367–127367. 4 indexed citations
4.
Li, Aimin, Oleg Borodin, Travis P. Pollard, et al.. (2024). Methylation enables the use of fluorine-free ether electrolytes in high-voltage lithium metal batteries. Nature Chemistry. 16(6). 922–929. 155 indexed citations breakdown →
7.
Fei, Rong, et al.. (2023). A novel network core structure extraction algorithm utilized variational autoencoder for community detection. Expert Systems with Applications. 222. 119775–119775. 24 indexed citations
8.
Bandyopadhyay, Anjan, et al.. (2023). A Game-Theoretic Approach for Rendering Immersive Experiences in the Metaverse. Mathematics. 11(6). 1286–1286. 11 indexed citations
9.
Fei, Rong, et al.. (2023). A car-following model based on the optimized velocity and its security analysis. Transportation Safety and Environment. 5(4).
10.
Zhang, Yi, et al.. (2023). Photo-controllable binding and release of HP2O73− using an azobenzene based smart macrocycle. Chemical Communications. 59(87). 12994–12997. 4 indexed citations
11.
Tuo, Shouheng, Chao Li, Fan Liu, et al.. (2022). MTHSA-DHEI: multitasking harmony search algorithm for detecting high-order SNP epistatic interactions. Complex & Intelligent Systems. 9(1). 637–658. 17 indexed citations
12.
Li, Aimin, et al.. (2022). AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1574–1580. 4 indexed citations
13.
Wang, Weifang, et al.. (2022). Lactobacillus fermentum CECT5716 Alleviates the Inflammatory Response in Asthma by Regulating TLR2/TLR4 Expression. Frontiers in Nutrition. 9. 931427–931427. 18 indexed citations
14.
Li, Aimin, Peilin Jia, Saurav Mallik, et al.. (2019). Critical microRNAs and regulatory motifs in cleft palate identified by a conserved miRNA–TF–gene network approach in humans and mice. Briefings in Bioinformatics. 21(4). 1465–1478. 38 indexed citations
15.
Liu, Zhaowen, Junying Zhang, Xiguo Yuan, et al.. (2015). Detecting pan-cancer conserved microRNA modules from microRNA expression profiles across multiple cancers. Molecular BioSystems. 11(8). 2227–2237. 5 indexed citations
16.
Teatero, Sarah, Allison McGeer, Aimin Li, et al.. (2015). Population Structure and Antimicrobial Resistance of Invasive Serotype IV Group B Streptococcus, Toronto, Ontario, Canada. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Zhang, Gehong, et al.. (2015). MicroRNA-140-3p inhibits proliferation, migration and invasion of lung cancer cells by targeting ATP6AP2.. PubMed. 8(10). 12845–52. 37 indexed citations
18.
Li, Aimin, et al.. (1998). Studies on the differentiation of flower-bud and variation of nutrient level in Schisandga chinensis (Turcz) Baill. 2. 6–10. 1 indexed citations
19.
Heath, Michéle C., et al.. (1995). Hyphal morphology associated with strain instability in the commercial mushroom, Agaricus bisporus. Mycologia. 87(4). 442–450. 4 indexed citations
20.
Li, Aimin, Illimar Altosaar, Michéle C. Heath, & Paul A. Horgen. (1993). Transient expression of the beta-glucuronidase gene delivered into urediniospores of Uromyces appendiculatus by particle bombardment. Canadian Journal of Plant Pathology. 15(1). 1–6. 18 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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