Jinquan Li

4.2k total citations
149 papers, 3.1k citations indexed

About

Jinquan Li is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jinquan Li has authored 149 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 34 papers in Genetics and 32 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jinquan Li's work include Streptococcal Infections and Treatments (29 papers), Bacteriophages and microbial interactions (28 papers) and Genetic Mapping and Diversity in Plants and Animals (25 papers). Jinquan Li is often cited by papers focused on Streptococcal Infections and Treatments (29 papers), Bacteriophages and microbial interactions (28 papers) and Genetic Mapping and Diversity in Plants and Animals (25 papers). Jinquan Li collaborates with scholars based in China, United States and United Kingdom. Jinquan Li's co-authors include Yang Zhou, Xiangdong Liu, LU Yong-gen, Md. Sharifull Islam, Weicheng Bei, Huanchun Chen, Zhong Chen, Peng Zhang, Jianghua Feng and Xiaohong Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jinquan Li

143 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinquan Li China 32 1.0k 830 679 482 437 149 3.1k
Raymond Lo Canada 14 2.9k 2.8× 779 0.9× 421 0.6× 440 0.9× 667 1.5× 17 4.6k
Jianhe Sun China 28 770 0.7× 508 0.6× 424 0.6× 401 0.8× 150 0.3× 121 2.0k
Benjamin L. Schulz Australia 42 2.9k 2.9× 308 0.4× 607 0.9× 389 0.8× 358 0.8× 173 5.0k
Yong Liang China 21 1.6k 1.6× 651 0.8× 662 1.0× 291 0.6× 413 0.9× 48 3.1k
Ruud Jansen Netherlands 29 2.2k 2.2× 553 0.7× 280 0.4× 451 0.9× 529 1.2× 59 3.7k
Pedro Garcı́a Spain 38 2.0k 2.0× 1.8k 2.1× 338 0.5× 478 1.0× 644 1.5× 131 4.6k
Elżbieta Brzuszkiewicz Germany 24 1.5k 1.4× 438 0.5× 259 0.4× 426 0.9× 543 1.2× 38 3.0k
Konrad U. Förstner Germany 31 2.8k 2.7× 1.0k 1.2× 365 0.5× 408 0.8× 1.2k 2.7× 91 3.9k
Odile Sismeiro France 35 1.7k 1.6× 304 0.4× 350 0.5× 794 1.6× 404 0.9× 75 3.3k

Countries citing papers authored by Jinquan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinquan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinquan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinquan Li. A scholar is included among the top collaborators of Jinquan 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 Jinquan Li. Jinquan 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.
Wang, Na, Yu Li, Ning Jin, et al.. (2025). Genome Selection for Fleece Traits in Inner Mongolia Cashmere Goats Based on GWAS Prior Marker Information. Animals. 15(21). 3184–3184.
3.
Wang, Tong, Cheng Cao, Haiying Li, et al.. (2024). LPCAT3 exacerbates early brain injury and ferroptosis after subarachnoid hemorrhage in rats. Brain Research. 1832. 148864–148864. 5 indexed citations
5.
Li, Jinquan, Siming Zhang, Yiwen Chen, et al.. (2024). Activation of the NLRP3-CASP-1 inflammasome is restrained by controlling autophagy during Glaesserella parasuis infection. Veterinary Microbiology. 295. 110160–110160. 1 indexed citations
6.
Zhang, Yue, Geng Zou, Md. Sharifull Islam, et al.. (2023). Combine thermal processing with polyvalent phage LPEK22 to prevent the Escherichia coli and Salmonella enterica contamination in food. Food Research International. 165. 112454–112454. 33 indexed citations
7.
Li, Jinquan, Pengjuan Sun, Jian Tao, et al.. (2023). Red emissive carbon dots-based polymer beads for recyclable and ultra-sensitive detection of malachite green in fish tissue. Sensors and Actuators B Chemical. 380. 133311–133311. 30 indexed citations
8.
Song, Jia, Jidong Liu, Chen Cui, et al.. (2023). Mesenchymal stromal cells ameliorate diabetes‐induced muscle atrophy through exosomes by enhancing AMPK/ULK1‐mediated autophagy. Journal of Cachexia Sarcopenia and Muscle. 14(2). 915–929. 73 indexed citations
9.
Wang, Yingli, et al.. (2023). Lactobacillus plantarum A3 attenuates ulcerative colitis by modulating gut microbiota and metabolism. SHILAP Revista de lepidopterología. 3(1). 7 indexed citations
12.
Huang, Changsheng, Yuanqiang Sun, Yanmin Zhao, et al.. (2022). Visual Monitoring of Nucleic Acid Dynamic Structures during Cellular Ferroptosis Using Rationally Designed Carbon Dots with Robust Anti-Interference Ability to Reactive Oxygen Species. ACS Applied Bio Materials. 5(6). 2703–2711. 12 indexed citations
13.
Shi, Zunji, Gui Chen, Zheng Cao, et al.. (2021). Gut Microbiota and Its Metabolite Deoxycholic Acid Contribute to Sucralose Consumption-Induced Nonalcoholic Fatty Liver Disease. Journal of Agricultural and Food Chemistry. 69(13). 3982–3991. 30 indexed citations
14.
Guo, Yating, Jie Li, Md. Sharifull Islam, et al.. (2021). Application of a novel phage vB_SalS-LPSTLL for the biological control of Salmonella in foods. Food Research International. 147. 110492–110492. 76 indexed citations
15.
Guo, Shuo, Yuanqiang Sun, Jinquan Li, et al.. (2020). Fluorescent Carbon Dots Shuttling between Mitochondria and the Nucleolus for in Situ Visualization of Cell Viability. ACS Applied Bio Materials. 4(1). 928–934. 19 indexed citations
16.
Li, Zhiwei, Jiali Xu, Chen Tan, et al.. (2018). A Streptococcus suis Live Vaccine Suppresses Streptococcal Toxic Shock-Like Syndrome and Provides Sequence Type-Independent Protection. The Journal of Infectious Diseases. 219(3). 448–458. 10 indexed citations
17.
Gao, Lixia, Zhihong Liu, Zhixin Wang, et al.. (2014). Optimization and problem analysis of two-dimensional electrophoresis separation on cashmere goat (Capra cashmere) skin protein.. Journal of Pharmaceutical and Biomedical Sciences. 22(2). 249–256. 1 indexed citations
18.
Wang, Zhiying, Lei Hong, Zhixin Wang, et al.. (2013). Estimates of genetic parameters and genetic changes for fleece traits in Inner Mongolia cashmere goats. Small Ruminant Research. 117(1). 41–46. 7 indexed citations
19.
Fu, Xuelin, et al.. (2007). Cytological mechanisms of interspecific incrossability and hybrid sterility between Oryza sativa L. and O. alta Swallen. Chinese Science Bulletin. 52(6). 755–765. 12 indexed citations
20.
Cheng, Guiping, Jiuhuan Feng, Guohua Liang, Xiangdong Liu, & Jinquan Li. (2006). Identification of QTLs for agronomic traits associated with yield in a BC_(2)F_(2) population between Oryza sativa and Oryza rufipogon. Zhongguo shuidao kexue. 20(5). 553–556. 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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