­Jun Li­

18.3k total citations · 2 hit papers
578 papers, 11.0k citations indexed

About

­Jun Li­ is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, ­Jun Li­ has authored 578 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Molecular Biology, 139 papers in Epidemiology and 129 papers in Surgery. Recurrent topics in ­Jun Li­'s work include Liver Disease Diagnosis and Treatment (82 papers), MicroRNA in disease regulation (42 papers) and Liver physiology and pathology (40 papers) ­Jun Li­ is often cited by papers focused on Liver Disease Diagnosis and Treatment (82 papers), MicroRNA in disease regulation (42 papers) and Liver physiology and pathology (40 papers) ­Jun Li­ collaborates with scholars based in China, United States and United Kingdom ­Jun Li­'s co-authors include Lanjuan Li, Hongcui Cao, Steven Gao, Gao Wei, XU Jia-dong, Paddy Farrington, Pauline A. Waight, Brent Taylor, Elizabeth Miller and Guilherme Lepski and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Circulation.

In The Last Decade

­Jun Li­

528 papers receiving 10.7k citations

Hit Papers

Autism and measles, mumps, and rubella vaccine: no epidem... 1999 2026 2008 2017 1999 2025 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Autism and measles, mumps, and rubella vaccine: no epidemiological evidence for a causal association
    1999 519 citations ­Jun Li­ et al. profile →
  2. Wnt signaling pathways in biology and disease: mechanisms and therapeutic advances
    2025 39 citations ­Jun Li­ et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
­Jun Li­ China 54 3.2k 1.9k 1.6k 1.3k 1.2k 578 11.0k
Sung Hoon Kim South Korea 51 3.1k 1.0× 1.8k 0.9× 908 0.6× 895 0.7× 822 0.7× 777 13.9k
Myoung Soo Kim South Korea 44 3.8k 1.2× 1.7k 0.9× 1.1k 0.7× 1.2k 0.9× 1.8k 1.4× 634 10.3k
Qiang Li China 60 6.9k 2.2× 1.1k 0.6× 1.5k 0.9× 1.3k 1.0× 3.3k 2.7× 848 16.6k
Shuji Hashimoto Japan 50 1.2k 0.4× 1.0k 0.5× 1.4k 0.9× 1.3k 1.0× 614 0.5× 605 10.5k
Liping Wang China 61 5.7k 1.8× 1.4k 0.7× 897 0.6× 2.0k 1.5× 2.2k 1.8× 849 17.3k
Jing Zhang China 49 3.2k 1.0× 593 0.3× 649 0.4× 1.8k 1.4× 560 0.5× 788 12.8k
Soo Hyun Kim South Korea 66 3.7k 1.2× 2.8k 1.5× 842 0.5× 4.0k 3.0× 525 0.4× 470 16.0k
Young Ju Lee South Korea 48 2.5k 0.8× 1.7k 0.9× 719 0.5× 937 0.7× 417 0.3× 512 9.4k
Kun Wang China 63 7.8k 2.5× 2.0k 1.1× 1.7k 1.1× 4.8k 3.7× 1.9k 1.5× 865 23.4k
Jing Wang China 50 3.7k 1.2× 1.8k 0.9× 1.2k 0.8× 611 0.5× 1.9k 1.5× 882 11.9k

Countries citing papers authored by ­Jun Li­

Since Specialization
Citations

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

Fields of papers citing papers by ­Jun Li­

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ­Jun Li­

This figure shows the co-authorship network connecting the top 25 collaborators of ­Jun Li­. A scholar is included among the top collaborators of ­Jun 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 ­Jun Li­. ­Jun 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.
Tang, Ping, Quan Ou, Fangle Liu, et al.. (2025). A mouse model of sepsis-associated DIC induced by Kappa-carrageenan and Lipopolysaccharides: Establishment and characteristics. Journal of Advanced Research. 79. 587–598. 1 indexed citations
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Wang, Meng, Yakun Zhang, Zhanchao Li, et al.. (2024). Preparation of low-oxygen Ti–Al alloy by sustainable recovery of spent SCR catalyst. Separation and Purification Technology. 343. 127060–127060. 1 indexed citations
7.
Zhao, Jing, Min Zhuo, ­Jun Li­, et al.. (2024). EP.12D.03 Characterization of HER2Alterations in 23,321 NSCLC Cases and Real-World Therapeutic Pattern in Chinese HER2-Mutant NSCLC the CHAPTER Study. Journal of Thoracic Oncology. 19(10). S650–S651. 2 indexed citations
8.
Zhu, Yi, et al.. (2024). An Accelerated Ray Tracing Method based on Embree3 Ray Tracing Library for Targets with Non-uniform Thickness Materials. The Applied Computational Electromagnetics Society Journal (ACES). 527–532.
9.
Huang, Hui, Wei Zhong, Xiaojiao Wang, et al.. (2023). The role of gastric microecological dysbiosis in gastric carcinogenesis. Frontiers in Microbiology. 14. 1218395–1218395. 11 indexed citations
10.
Liu, Yiqi, Chi Zhang, Na Huo, et al.. (2023). Steady Decline of HBV DNA Load under NAs in Lymphoma Patients and a Higher Level of qAnti-HBc Predict HBV Reactivation. Journal of Clinical Medicine. 13(1). 23–23. 4 indexed citations
11.
Guo, Gang, Li Sun, Bin Jia, et al.. (2023). eDOTS: Improving the Treatment of Pulmonary Tuberculosis in Xinjiang, China. Infection and Drug Resistance. Volume 16. 7497–7505. 4 indexed citations
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Li­, ­Jun, Zhimin Hu, Xuan Wang, et al.. (2023). Mycobacterium tuberculosis-specific memory T cells in bronchoalveolar lavage of patients with pulmonary tuberculosis. Cytokine. 171. 156374–156374. 7 indexed citations
14.
Hu, Yingchun, Lei Shi, ­Jun Li­, et al.. (2022). Identification of hub genes for adult patients with sepsis via RNA sequencing. Scientific Reports. 12(1). 5128–5128. 14 indexed citations
15.
Cao, Xia, Feng Cheng, Sushila Maharjan, et al.. (2019). A Tumor‐on‐a‐Chip System with Bioprinted Blood and Lymphatic Vessel Pair. Advanced Functional Materials. 29(31). 168 indexed citations
16.
Cheng, Feng, Xia Cao, Hongbin Li, et al.. (2019). Generation of Cost-Effective Paper-Based Tissue Models through Matrix-Assisted Sacrificial 3D Printing. Nano Letters. 19(6). 3603–3611. 59 indexed citations
17.
Zeng, Tao, Takehiro Esaki, ­Jun Li­, Noriyuki Kobayashi, & Hongyu Huang. (2017). Evaluation of Performance of Thermal and Electrical Hybrid Adsorption Chiller Cycles with Mechanical Booster Pumps. Journal of Materials Science and Chemical Engineering. 5(5). 22–32. 5 indexed citations
18.
Li­, ­Jun, et al.. (2017). The strategic framework of tuberculosis control and prevention in the elderly: a scoping review towards End TB targets. Infectious Diseases of Poverty. 6(1). 70–70. 48 indexed citations
19.
Lin, Wenlong, Chunmei Ma, Yu Jiang, et al.. (2016). Raf kinase inhibitor protein mediates intestinal epithelial cell apoptosis and promotes IBDs in humans and mice. Gut. 66(4). 597–610. 57 indexed citations
20.
Xiang, Dairong, et al.. (2010). Expression level of augmenter of liver regeneration in patients with hepatic failure and hepatocellular carcinoma.. PubMed. 9(5). 492–8. 14 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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