Li Jin

515 total citations
25 papers, 397 citations indexed

About

Li Jin is a scholar working on Materials Chemistry, Aquatic Science and Immunology. According to data from OpenAlex, Li Jin has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Aquatic Science and 4 papers in Immunology. Recurrent topics in Li Jin's work include Aquaculture Nutrition and Growth (5 papers), Aquaculture disease management and microbiota (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Li Jin is often cited by papers focused on Aquaculture Nutrition and Growth (5 papers), Aquaculture disease management and microbiota (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Li Jin collaborates with scholars based in China, United States and Singapore. Li Jin's co-authors include Zhijian Wang, Yaoguang Zhang, Xiaohong Liu, Bin Liu, Chan Zhou, K.L. Paul Sung, Jinmin Li, Yan Ma, Shaoqiang Lin and Yaoguang Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Applied Catalysis B: Environmental.

In The Last Decade

Li Jin

23 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Jin China 12 87 77 61 56 54 25 397
Piotr Wilczek Poland 17 152 1.7× 59 0.8× 127 2.1× 79 1.4× 197 3.6× 47 663
Haina Sun China 17 66 0.8× 36 0.5× 387 6.3× 70 1.3× 32 0.6× 42 817
Yilei Wang China 11 25 0.3× 77 1.0× 165 2.7× 40 0.7× 12 0.2× 43 409
Rahul Kumar Singh India 13 44 0.5× 52 0.7× 43 0.7× 50 0.9× 124 2.3× 38 557
Marina Prisco Italy 21 84 1.0× 137 1.8× 245 4.0× 115 2.1× 177 3.3× 48 1.3k
Dércia Santos Portugal 16 63 0.7× 230 3.0× 89 1.5× 110 2.0× 321 5.9× 25 919
Alessia Belloni Italy 11 96 1.1× 69 0.9× 109 1.8× 125 2.2× 112 2.1× 24 910
Lina Dai China 12 27 0.3× 192 2.5× 83 1.4× 95 1.7× 52 1.0× 40 590
Assaf Shechter Israel 12 196 2.3× 64 0.8× 73 1.2× 70 1.3× 24 0.4× 17 1.2k
Aaron G. Schultz Australia 14 32 0.4× 174 2.3× 76 1.2× 89 1.6× 92 1.7× 36 645

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Li Jin. A scholar is included among the top collaborators of Li Jin 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 Li Jin. Li Jin 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.
Guo, X. L., et al.. (2025). AUNIP was a candidate marker for prognosis and immunology in pan-cancer. 3 Biotech. 15(6). 177–177.
2.
Wang, Lulu, Li Jin, Tianwei Lan, et al.. (2024). Promoter or inhibitor: Self-tunable defense effects of Ce(SO4)2 against K and Zn co-poisoning over NOx reduction catalysts. Applied Catalysis B: Environmental. 348. 123797–123797. 15 indexed citations
3.
4.
Chen, Hang, et al.. (2023). InP/ZnS quantum dots cause liver damage in rare minnow (Gobiocypris rarus) larvae. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 266. 109546–109546. 2 indexed citations
5.
Chen, Hang, Juan Chen, Yingyi Wu, Weiwei Xie, & Li Jin. (2023). A study on the mechanism of Indium phosphide/zinc sulfide core/shell quantum dots influencing embryo incubation of rare minnow (Gobiocypris rarus). Aquatic Toxicology. 261. 106593–106593. 4 indexed citations
6.
7.
Chen, Juan, et al.. (2022). Parental exposure to CdSe/ZnS QDs affects cartilage development in rare minnow (Gobiocypris rarus) offspring. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 256. 109304–109304. 4 indexed citations
8.
Chen, Juan, et al.. (2022). Reproductive toxicity of InP/ZnS QDs in male rare minnow (Gobiocypris rarus). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 259. 109392–109392. 4 indexed citations
9.
Yang, Yang, et al.. (2021). Toxic effects of ZnSe/ZnS quantum dots on the reproduction and genotoxiticy of rare minnow (Gobiocypris rarus). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 247. 109065–109065. 17 indexed citations
10.
Zhang, Le, Chen Fu, Li Jin, et al.. (2019). Discovery of a Ruthenium Complex for the Theranosis of Glioma through Targeting the Mitochondrial DNA with Bioinformatic Methods. International Journal of Molecular Sciences. 20(18). 4643–4643. 15 indexed citations
11.
Jin, Li, et al.. (2019). Teaching Reforms of Field Practice in Botany.
12.
Wang, Guodong, Baolin Zhang, Weiwei Zhou, et al.. (2018). Selection and environmental adaptation along a path to speciation in the Tibetan frogNanorana parkeri. Proceedings of the National Academy of Sciences. 115(22). E5056–E5065. 54 indexed citations
13.
Liu, Xiaohong, Zhijian Wang, Li Jin, et al.. (2017). Effects of subchronic exposure to waterborne cadmium on H-P-I axis hormones and related genes in rare minnows ( Gobiocypris rarus ). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 202. 1–11. 12 indexed citations
14.
Liu, Li, Yuanyuan Xiao, Yanhong Ji, et al.. (2017). CuInS 2 /ZnS QD exposure induces developmental toxicity, oxidative stress and DNA damage in rare minnow ( Gobiocypris rarus ) embryos and larvae. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 198. 19–27. 23 indexed citations
15.
Wang, Zhijian, et al.. (2016). Transcriptome profiling analysis of rare minnow (Gobiocypris rarus) gills after waterborne cadmium exposure. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 19. 120–128. 30 indexed citations
16.
Liu, Xiaohong, et al.. (2016). The secretion, synthesis, and metabolism of cortisol and its downstream genes in the H–P–I axis of rare minnows ( Gobiocypris rarus ) are disrupted by acute waterborne cadmium exposure. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 185-186. 112–121. 26 indexed citations
17.
Liu, Bin, Li Jin, Zhijian Wang, et al.. (2015). Silk structure and degradation. Colloids and Surfaces B Biointerfaces. 131. 122–128. 98 indexed citations
18.
Zhou, Yujie, Xi Peng, Linyan Zhou, et al.. (2015). The cellular protein expression of Foxp3 in lymphoid and non-lymphoid organs of Nile tilapia. Fish & Shellfish Immunology. 45(2). 300–306. 11 indexed citations
19.
Jin, Li, Chuansheng Chen, Xuemei Lei, et al.. (2012). The NTSR1 gene modulates the association between hippocampal structure and working memory performance. NeuroImage. 75. 79–86. 13 indexed citations
20.
Lin, Hong‐Yan, Bao Mu, Xiuli Wang, Li Jin, & Guo‐Cheng Liu. (2011). Synthesis, Structure and Electrochemical Property of a New Copper(II) Complex Based on Benzene-1,2,4,5-tetracarboxylate and 2,5-Bis(3-pyridyl)-1,3,4-oxadiazole Ligands. Journal of Chemical Crystallography. 41(5). 635–640. 2 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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