Ju Li

6.2k total citations · 3 hit papers
94 papers, 4.5k citations indexed

About

Ju Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Ju Li has authored 94 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 13 papers in Pathology and Forensic Medicine and 12 papers in Oncology. Recurrent topics in Ju Li's work include CRISPR and Genetic Engineering (15 papers), RNA and protein synthesis mechanisms (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). Ju Li is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), RNA and protein synthesis mechanisms (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). Ju Li collaborates with scholars based in China, United States and South Korea. Ju Li's co-authors include Remo Panaccione, William J. Sandborn, Paul Rutgeerts, Jeffrey D. Kent, Paul F. Pollack, Jean–Frédéric Colombel, Stefan Schreiber, Stephen B. Hanauer, Robert Enns and Sally Johnson and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ju Li

93 papers receiving 4.4k citations

Hit Papers

Adalimumab for Maintenance of Clinical Response and Remis... 2006 2026 2012 2019 2006 2007 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Li China 23 2.5k 1.9k 1.2k 797 746 94 4.5k
Takafumi Nakamura Japan 43 1.5k 0.6× 1.1k 0.6× 1.8k 1.6× 801 1.0× 851 1.1× 174 5.4k
Monika Stoll Germany 40 1.4k 0.6× 433 0.2× 2.1k 1.8× 766 1.0× 723 1.0× 167 5.9k
Carl A. Anderson United Kingdom 20 1.2k 0.5× 601 0.3× 749 0.6× 457 0.6× 397 0.5× 40 2.7k
Michael G. Brown United States 37 988 0.4× 895 0.5× 1.5k 1.3× 2.3k 2.9× 344 0.5× 95 4.9k
Satoshi Okada Japan 33 634 0.3× 814 0.4× 871 0.7× 1.4k 1.8× 261 0.3× 212 3.8k
Bernard H. Brownstein United States 27 668 0.3× 1.1k 0.6× 2.2k 1.9× 1.0k 1.3× 289 0.4× 62 5.0k
Michal Mokrý Netherlands 42 646 0.3× 482 0.3× 2.1k 1.8× 851 1.1× 610 0.8× 137 4.7k
Hans‐Michael Dosch Canada 37 1.0k 0.4× 646 0.3× 1.2k 1.0× 1.6k 2.0× 698 0.9× 117 4.3k
Teruki Miyake Japan 32 594 0.2× 1.3k 0.7× 686 0.6× 322 0.4× 592 0.8× 189 3.9k
Brendan Blumenstiel United States 8 2.4k 1.0× 363 0.2× 2.1k 1.8× 505 0.6× 315 0.4× 12 5.4k

Countries citing papers authored by Ju Li

Since Specialization
Citations

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

Fields of papers citing papers by Ju Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Li. A scholar is included among the top collaborators of Ju 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 Ju Li. Ju 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.
Li, Ju, et al.. (2024). Notch signaling regulates limb regeneration through Hes1 and HeyL in the Chinese mitten crab. Insect Biochemistry and Molecular Biology. 175. 104209–104209. 2 indexed citations
2.
Li, Bo, Dongdong Zhao, Yaqiu Li, et al.. (2024). igRNA Prediction and Selection AI Models (igRNA-PS) for Bystander-less ABE Base Editing. Journal of Molecular Biology. 436(18). 168714–168714. 2 indexed citations
3.
Wang, Keshan, Meiyu Huang, Yaqiu Li, et al.. (2023). HMGN1 enhances CRISPR-directed dual-function A-to-G and C-to-G base editing. Nature Communications. 14(1). 2430–2430. 12 indexed citations
4.
Zeng, Qinghe, Qi Sun, Huihui Xu, et al.. (2023). Amygdalin Delays Cartilage Endplate Degeneration and Improves Intervertebral Disc Degeneration by Inhibiting NF-κB Signaling Pathway and Inflammatory Response. Journal of Inflammation Research. Volume 16. 3455–3468. 8 indexed citations
5.
Wang, Dian-Shi, Ju Li, Kirusanthy Kaneshwaran, et al.. (2023). Crosstalk between GABAA receptors in astrocytes and neurons triggered by general anesthetic drugs. Translational research. 267. 39–53. 12 indexed citations
6.
Ying, Jun, Huihui Xu, Qinghe Zeng, et al.. (2023). Aucubin Alleviates Intervertebral Disc Degeneration by Repressing NF-κB-NLRP3 Inflammasome Activation in Endplate Chondrocytes. Journal of Inflammation Research. Volume 16. 5899–5913. 7 indexed citations
8.
9.
Li, Ju, et al.. (2021). Association Between the Interferon-γ +874 T/A Polymorphism and the Risk and Clinical Manifestations of Systemic Lupus Erythematosus: A Preliminary Study. Pharmacogenomics and Personalized Medicine. Volume 14. 1475–1482. 5 indexed citations
10.
Hua, Mingqiang, Ju Li, Chunyan Wang, et al.. (2019). Aberrant expression of microRNA in CD4+ cells contributes to Th17/Treg imbalance in primary immune thrombocytopenia. Thrombosis Research. 177. 70–78. 31 indexed citations
11.
Ji, Yun, Zhenlong Wu, Zhaolai Dai, et al.. (2017). Fetal and neonatal programming of postnatal growth and feed efficiency in swine. Journal of Animal Science and Biotechnology. 8(1). 42–42. 77 indexed citations
12.
Sandborn, William J., Paul Rutgeerts, Robert Enns, et al.. (2015). Adalimumab Induction Therapy for Crohn Disease Previously Treated with Infliximab. Annals of Internal Medicine. 10 indexed citations
13.
Li, Ju. (2015). Growth Performance and Models of Hemibarbus labeo Cultured in Net Cages. Journal of Guangdong Ocean University. 1 indexed citations
14.
Li, Ju. (2014). Dissection of Genetic Components in the New High-Yielding Wheat Cultivar Chuanmai 104. Zhongguo nongye Kexue. 3 indexed citations
15.
Li, Ju. (2014). Effect of Gradual Drought Stress on Physiological Indexes of Paeonia suffruticosa Andr.. Northern Horticulture. 1 indexed citations
16.
Smith, Monique L., Ju Li, & Andrey E. Ryabinin. (2014). Increased Alcohol Consumption in Urocortin 3 Knockout Mice Is Unaffected by Chronic Inflammatory Pain. Alcohol and Alcoholism. 50(2). 132–139. 12 indexed citations
17.
Li, Ju, J. M. Gonzalez, Dillon K. Walker, et al.. (2011). Evidence of heterogeneity within bovine satellite cells isolated from young and adult animals. Journal of Animal Science. 89(6). 1751–1757. 36 indexed citations
18.
Li, Ju, Sarah Reed, & Sally Johnson. (2009). Hepatocyte growth factor (HGF) signals through SHP2 to regulate primary mouse myoblast proliferation. Experimental Cell Research. 315(13). 2284–2292. 32 indexed citations
19.
Colombel, Jean–Frédéric, William J. Sandborn, Paul Rutgeerts, et al.. (2006). Adalimumab for Maintenance of Clinical Response and Remission in Patients With Crohn’s Disease: The CHARM Trial. Gastroenterology. 132(1). 52–65. 1655 indexed citations breakdown →
20.
Li, Ju, et al.. (1997). 3-D target feature extraction via interferometricSAR. IEE Proceedings - Radar Sonar and Navigation. 144(2). 71–80. 15 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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