Lijun Shao

838 total citations
28 papers, 668 citations indexed

About

Lijun Shao is a scholar working on Molecular Biology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lijun Shao has authored 28 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lijun Shao's work include Viral Infections and Vectors (5 papers), Pregnancy and preeclampsia studies (3 papers) and Lanthanide and Transition Metal Complexes (3 papers). Lijun Shao is often cited by papers focused on Viral Infections and Vectors (5 papers), Pregnancy and preeclampsia studies (3 papers) and Lanthanide and Transition Metal Complexes (3 papers). Lijun Shao collaborates with scholars based in China, United States and Mongolia. Lijun Shao's co-authors include Lilly Bourguignon, Hongbo Zhu, You Wei Chen, Dan Zhu, Yingying Chen, Pengfei Li, Ming Fang, Hong Yu, Guoyu Niu and Bin Zhao and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Journal of Virology.

In The Last Decade

Lijun Shao

22 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijun Shao China 9 365 298 123 92 61 28 668
Jet Phey Lim Australia 8 559 1.5× 332 1.1× 32 0.3× 104 1.1× 59 1.0× 8 972
Dipannita Dutta United States 6 396 1.1× 193 0.6× 28 0.2× 46 0.5× 29 0.5× 7 645
Aparajita Khatri Australia 14 398 1.1× 100 0.3× 42 0.3× 137 1.5× 73 1.2× 23 704
Zhenjia Wang United States 12 591 1.6× 55 0.2× 21 0.2× 60 0.7× 81 1.3× 26 848
Johanne Leroy‐Dudal France 14 255 0.7× 107 0.4× 100 0.8× 148 1.6× 85 1.4× 28 587
Jiansong Xie United States 15 299 0.8× 129 0.4× 34 0.3× 29 0.3× 19 0.3× 32 789
Alexandra Moreira Portugal 21 1.3k 3.4× 317 1.1× 36 0.3× 191 2.1× 116 1.9× 37 1.7k
Dragomira Majhen Croatia 16 378 1.0× 53 0.2× 73 0.6× 195 2.1× 37 0.6× 50 719
Ryota Kobayashi Japan 14 243 0.7× 89 0.3× 11 0.1× 19 0.2× 64 1.0× 39 613
H Igarashi Japan 12 392 1.1× 193 0.6× 17 0.1× 35 0.4× 31 0.5× 24 599

Countries citing papers authored by Lijun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Shao. A scholar is included among the top collaborators of Lijun Shao 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 Lijun Shao. Lijun Shao 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.
2.
Liu, Yifan, Li Feng, Wengeng Zhang, et al.. (2025). CYP2A6 suppresses hepatocellular carcinoma via inhibiting SRC/Wnt/β-Catenin pathway. Acta Pharmacologica Sinica. 46(7). 2029–2040.
3.
Zhang, Yujie, Puyang Zhang, Xin Yan, et al.. (2024). Gestational diabetes mellitus is associated with distinct folate‐related metabolites in early and mid‐pregnancy: A prospective cohort study. Diabetes/Metabolism Research and Reviews. 40(4). e3814–e3814. 5 indexed citations
4.
Shao, Lijun, et al.. (2023). Classification of Optical Character Recognition Based on Memristive Neural Networks. 45. 1–4. 1 indexed citations
5.
6.
Wang, Ye, Shan Jiang, Qingqing Man, et al.. (2023). [Effect of different delivery modes on the level of cortical hormones in cord artery and vein blood].. PubMed. 52(3). 424–428. 1 indexed citations
7.
8.
Chen, Junhao, Xiaohong Li, Yumei Liu, et al.. (2021). Engineering a probiotic strain of Escherichia coli to induce the regression of colorectal cancer through production of 5‐aminolevulinic acid. Microbial Biotechnology. 14(5). 2130–2139. 26 indexed citations
9.
Shao, Lijun, Lin Liu, Yongjin Wang, et al.. (2021). Detection and phylogenetic analysis of a novel tick-borne virus in Haemaphysalis longicornis ticks and sheep from Shandong, China. Virology Journal. 18(1). 233–233. 6 indexed citations
10.
Wang, Yunhai, et al.. (2021). Less polar ginsenosides have better protective effects on mice infected by Listeria monocytogenes. Ecotoxicology and Environmental Safety. 213. 112065–112065. 8 indexed citations
11.
Shao, Lijun, Hong‐Chen Fu, Shenghan Wang, et al.. (2020). Identification of recently identified tick-borne viruses (Dabieshan tick virus and SFTSV) by metagenomic analysis in ticks from Shandong Province, China. Journal of Infection. 81(6). 973–978. 18 indexed citations
12.
Zhang, Yuanyuan, et al.. (2019). Effect of a beta-cypermethrin and emamectin benzoate pesticide mixture on reproductive toxicity in male mice in a greenhouse environment. Toxicology Mechanisms and Methods. 30(2). 100–106. 24 indexed citations
13.
Li, Dexin, et al.. (2018). Neutralizing antibodies to Severe Fever with Thrombocytopenia Syndrome Virus in general population, Shandong Province, China. Scientific Reports. 8(1). 15401–15401. 7 indexed citations
14.
Fang, Ming, Yingying Chen, Lijun Shao, et al.. (2018). Structures, luminescent and magnetic properties of three dinuclear lanthanide complexes: Dysprosium compound displaying slow magnetic relaxation. Polyhedron. 157. 530–535. 8 indexed citations
15.
Li, Pengfei, Yingying Chen, Lijun Shao, et al.. (2018). Structures, luminescent and magnetic properties of three dinuclear lanthanide complexes: Magnetic refrigeration and single-molecule magnet behaviour. Polyhedron. 158. 371–376. 5 indexed citations
16.
Lin, Wenshu, Lijun Shao, & Jinzhuo Wu. (2015). Study on Wood Board Defect Detection Based on Artificial Neural Network. The Open Automation and Control Systems Journal. 7(1). 290–295. 12 indexed citations
17.
Fang, Wei, Xiaomei Cao, Yi Sun, et al.. (2015). First Molecular Detection ofRickettsia felis-Like Organism inEulaelaps stabularisfrom the Changbai Mountain Area of China. Journal of Parasitology. 101(5). 514–519. 2 indexed citations
18.
Zhao, Hui, Lijun Shao, Yongxian Liu, et al.. (2012). Complete Genome Sequence of an Amur Virus Isolated from Apodemus peninsulae in Northeastern China. Journal of Virology. 86(24). 13816–13817. 2 indexed citations
19.
Bourguignon, Lilly, Hongbo Zhu, Lijun Shao, & You Wei Chen. (2000). CD44 Interaction with Tiam1 Promotes Rac1 Signaling and Hyaluronic Acid-mediated Breast Tumor Cell Migration. Journal of Biological Chemistry. 275(3). 1829–1838. 245 indexed citations
20.
Bourguignon, Lilly, et al.. (1999). Rho-kinase (ROK) promotes CD44v3,8-10-ankyrin interaction and tumor cell migration in metastatic breast cancer cells. Cell Motility and the Cytoskeleton. 43(4). 269–287. 137 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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