Jingjie Li

811 total citations
45 papers, 542 citations indexed

About

Jingjie Li is a scholar working on Rheumatology, Molecular Biology and Neurology. According to data from OpenAlex, Jingjie Li has authored 45 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 7 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Jingjie Li's work include Moyamoya disease diagnosis and treatment (8 papers), Hair Growth and Disorders (5 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Jingjie Li is often cited by papers focused on Moyamoya disease diagnosis and treatment (8 papers), Hair Growth and Disorders (5 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Jingjie Li collaborates with scholars based in China, South Korea and Israel. Jingjie Li's co-authors include Xiaoyan Liang, Yajie Chang, Chang Keun Sung, Lijuan Gu, Jianhui Chen, Yuting Fan, Li‐Na Wei, Sherman J. Silber, Zheng Li and Zhihong Yang and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Medicine.

In The Last Decade

Jingjie Li

41 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjie Li China 13 136 129 113 77 54 45 542
Tümay Özgür Türkiye 13 111 0.8× 111 0.9× 85 0.8× 5 0.1× 37 0.7× 52 469
Zhao Tian China 18 97 0.7× 62 0.5× 217 1.9× 14 0.2× 120 2.2× 67 810
Akihiro Kawashima Japan 12 67 0.5× 70 0.5× 114 1.0× 18 0.2× 19 0.4× 32 447
Elena Fernández‐Durán Spain 15 524 3.9× 297 2.3× 288 2.5× 18 0.2× 137 2.5× 30 1.0k
G Klinger Germany 14 34 0.3× 148 1.1× 68 0.6× 24 0.3× 85 1.6× 40 629
Şükrü Oral Türkiye 14 60 0.4× 40 0.3× 71 0.6× 68 0.9× 32 0.6× 42 612
Nabil Eid Japan 17 96 0.7× 48 0.4× 224 2.0× 5 0.1× 54 1.0× 51 771
Xiaoxuan Zhao China 13 93 0.7× 95 0.7× 143 1.3× 5 0.1× 109 2.0× 41 514
Natascha Schweighofer Austria 14 347 2.6× 189 1.5× 225 2.0× 9 0.1× 43 0.8× 35 803
Mehmet Namuslu Türkiye 16 30 0.2× 47 0.4× 75 0.7× 4 0.1× 81 1.5× 40 559

Countries citing papers authored by Jingjie Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingjie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjie Li. A scholar is included among the top collaborators of Jingjie 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 Jingjie Li. Jingjie 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.
Chen, Cheng, Desheng Li, Hui Wang, et al.. (2025). Clinical features, treatment and long-term outcomes of hemorrhagic moyamoya disease in children: an extensive follow-up study. Stroke and Vascular Neurology. svn–2025.
2.
Zhu, Changsheng, et al.. (2025). Multi-scale self-attention network: A light and fast circuit detection method. Electric Power Systems Research. 247. 111716–111716. 1 indexed citations
3.
Wang, Minjie, Hui Wang, Mingming Lu, et al.. (2024). Risk Factors for Massive Cerebral Infarction in Pediatric Patients With Moyamoya Disease. Pediatric Neurology. 153. 159–165. 2 indexed citations
4.
Shen, Dongdong, et al.. (2024). Development and Validation of a Nomogram for Predicting Frailty Risk Among Older Patients With Ischaemic Stroke. Journal of Clinical Nursing. 34(10). 4186–4201. 2 indexed citations
5.
Liu, Shitong, et al.. (2024). Isolated anterior cerebral artery occlusion: an atypical form of moyamoya disease. Stroke and Vascular Neurology. 9(6). 660–670. 1 indexed citations
6.
Li, Jingjie, Xiaopeng Wang, Dan Yu, et al.. (2023). Proteomic and metabolomic characterizations of moyamoya disease patient sera. Brain and Behavior. 13(12). e3328–e3328. 4 indexed citations
7.
Gao, Xin, Jingjie Li, Yukun Liu, et al.. (2023). High expression of PCOLCE gene indicate poor prognosis in patients and are associated with immune infiltration in glioma. Scientific Reports. 13(1). 3820–3820. 4 indexed citations
8.
Li, Jingjie, Cong Han, Xiaopeng Wang, et al.. (2023). Nomogram for Predicting Long-term Outcomes of Encephaloduroarteriosynangiosis in Toddlers with Moyamoya Disease: a Longitudinal and Cross-sectional Study. Translational Stroke Research. 16(2). 315–327. 1 indexed citations
9.
Li, Jingjie, Cong Han, Xiaopeng Wang, et al.. (2023). Risk Factors for Preoperative Cerebral Infarction in Infants with Moyamoya Disease. Translational Stroke Research. 15(4). 795–804. 3 indexed citations
10.
Zhang, Xuwei, et al.. (2023). A diagnostic method for cardiomyopathy based on multimodal data. Biomedizinische Technik/Biomedical Engineering. 68(4). 411–420. 1 indexed citations
11.
Li, Jingjie, et al.. (2021). Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction. BMC Medical Informatics and Decision Making. 21(1). 301–301. 20 indexed citations
12.
Li, Jingjie, Jiajia Yan, Rui Dai, et al.. (2021). Pregnancy outcomes in female patients exposed to cyclosporin‐based versus tacrolimus‐based immunosuppressive regimens after liver/kidney transplantation: A systematic review and meta‐analysis. Journal of Clinical Pharmacy and Therapeutics. 46(3). 744–753. 14 indexed citations
13.
Li, Jingjie, et al.. (2019). Meta-analysis of overall incidence and risk of ALK inhibitors-induced liver toxicities in advanced non-small-cell lung cancer. Medicine. 98(1). e13726–e13726. 9 indexed citations
14.
15.
Li, Jingjie, Lihuan Guan, Huizhen Zhang, et al.. (2018). Endometrium metabolomic profiling reveals potential biomarkers for diagnosis of endometriosis at minimal-mild stages. Reproductive Biology and Endocrinology. 16(1). 42–42. 51 indexed citations
16.
Chen, Pan, Longshan Liu, Jingjie Li, et al.. (2018). Prediction of mizoribine pharmacokinetic parameters by serum creatinine in renal transplant recipients. European Journal of Clinical Pharmacology. 75(3). 363–369. 2 indexed citations
17.
Li, Jingjie, et al.. (2017). Prevalence of Essential Hypertension and Its Complications Among Chinese Population at High Altitude. High Altitude Medicine & Biology. 18(2). 140–144. 11 indexed citations
18.
Wang, Nan, Qing Qiao, Guoqiang Bao, et al.. (2017). Genetic polymorphisms are associated with the risk of gastric and colorectal cancers in a Han Chinese population. Oncotarget. 8(17). 28805–28811. 2 indexed citations
19.
Li, Jingjie, Lijuan Gu, Shahnaz Begum, et al.. (2014). Chrysanthemum zawadskii extract induces hair growth by stimulating the proliferation and differentiation of hair matrix. International Journal of Molecular Medicine. 34(1). 130–136. 14 indexed citations
20.
Li, Jingjie, et al.. (2014). Exogenous IGF-1 promotes hair growth by stimulating cell proliferation and down regulating TGF-β1 in C57BL/6 mice in vivo. Growth Hormone & IGF Research. 24(2-3). 89–94. 61 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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