Ming Li

11.7k total citations · 2 hit papers
330 papers, 7.8k citations indexed

About

Ming Li is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming Li has authored 330 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 66 papers in Surgery and 48 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming Li's work include Pancreatic function and diabetes (32 papers), Stress Responses and Cortisol (16 papers) and COVID-19 Clinical Research Studies (16 papers). Ming Li is often cited by papers focused on Pancreatic function and diabetes (32 papers), Stress Responses and Cortisol (16 papers) and COVID-19 Clinical Research Studies (16 papers). Ming Li collaborates with scholars based in China, United States and Australia. Ming Li's co-authors include Judith A. Whitworth, Ming Hu, Alison S. Fleming, Wen Wang, Peng Peng, Juan Du, Qi Zhu, Huan‐Zhong Shi, Ahsan Husain and Robert M. Graham and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ming Li

309 papers receiving 7.6k citations

Hit Papers

Predictors of mortality for patients with COVID-19 pneumo... 2020 2026 2022 2024 2020 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Li China 45 2.3k 1.2k 1.1k 855 808 330 7.8k
Lesley J. Scott New Zealand 57 3.1k 1.4× 1.3k 1.2× 1.6k 1.4× 750 0.9× 1.1k 1.4× 333 12.9k
Greg L. Plosker New Zealand 57 1.9k 0.9× 996 0.9× 1.6k 1.4× 609 0.7× 1.1k 1.3× 261 10.1k
Kenji Maeda Japan 56 2.6k 1.2× 1.5k 1.3× 874 0.8× 1.4k 1.6× 1.5k 1.8× 343 11.8k
Fan Yi China 50 3.5k 1.6× 1.1k 1.0× 934 0.8× 1.2k 1.4× 309 0.4× 219 8.7k
Francesco Curcio Italy 40 2.6k 1.2× 604 0.5× 651 0.6× 433 0.5× 733 0.9× 221 8.2k
Corrado Blandizzi Italy 53 2.4k 1.1× 436 0.4× 1.7k 1.5× 1.3k 1.5× 295 0.4× 274 9.5k
Fen Wang China 43 3.6k 1.6× 603 0.5× 677 0.6× 499 0.6× 508 0.6× 277 7.5k
Chang‐Hai Tsai Taiwan 47 4.2k 1.9× 393 0.3× 1.0k 0.9× 970 1.1× 499 0.6× 320 9.8k
Mariko Saito Japan 50 3.8k 1.7× 738 0.6× 679 0.6× 701 0.8× 213 0.3× 383 8.7k
Michał Toborek United States 62 3.5k 1.6× 587 0.5× 651 0.6× 1.0k 1.2× 338 0.4× 282 11.1k

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Li. A scholar is included among the top collaborators of Ming 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 Ming Li. Ming 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, Xiaokun, Xueyuan Li, Miao Yu, et al.. (2025). An immunoregulation PLGA/Chitosan aligned nanofibers with polydopamine coupling basic fibroblast growth factor and ROS scavenging for peripheral nerve regeneration. Materials Today Bio. 31. 101543–101543. 8 indexed citations
2.
Chen, Wenya, et al.. (2025). Effector Cpe1 secreted by Trichoderma longibrachiatum induces plant disease resistance. Biological Control. 202. 105726–105726. 1 indexed citations
3.
Madine, Jillian, et al.. (2025). Medin induces pro‐inflammatory activation of human brain vascular smooth muscle cells. Physiological Reports. 13(11). e70418–e70418.
4.
Li, Ming, Shuang Li, Weijia Li, et al.. (2025). Biomarker potential of serum microRNAs in thyroid nodules patients residing in high water iodine areas. Ecotoxicology and Environmental Safety. 295. 118133–118133.
5.
Li, Ming, Ping Li, Juan Liu, et al.. (2024). Epimedium polysaccharides mitigates Porphyromonas gingivalis-exacerbated intestinal inflammation by suppressing the Th17 pathway and modulating the gut microbiota. International Journal of Biological Macromolecules. 278(Pt 1). 134203–134203. 1 indexed citations
6.
Li, Ming, et al.. (2024). Mechanism of hydrophobicity reduction of non-isolated glutenin by mixing with wheat amylose. Food Hydrocolloids. 157. 110374–110374. 4 indexed citations
7.
Zhang, Yang, Chuanhui Li, Chuanjie Wu, et al.. (2024). Evolution and advances in endovascular mechanical thrombectomy of cerebral venous sinus thrombosis. International Journal of Medical Sciences. 21(13). 2450–2463. 1 indexed citations
8.
Wang, Mo, et al.. (2024). Evaluation Methods and Progress of Right Ventricular-pulmonary Artery Coupling. SHILAP Revista de lepidopterología. 8(4). 205–205. 1 indexed citations
9.
Zhang, Jianning, et al.. (2022). Reliability and Validity of the Tinnitus Handicap Inventory: A Clinical Study of Questionnaires. The Journal of International Advanced Otology. 18(6). 522–529. 5 indexed citations
10.
Li, Ping, Ming Li, Tao Wu, et al.. (2022). Systematic evaluation of antimicrobial food preservatives on glucose metabolism and gut microbiota in healthy mice. npj Science of Food. 6(1). 42–42. 27 indexed citations
11.
Li, Ming, et al.. (2020). Considerations for Thyroid Fine Needle Aspiration (FNA) Biopsies During the COVID-19 Pandemic. Clinical Thyroidology. 32(4). 156–158. 12 indexed citations
12.
Lu, Yuan, Quanping Su, Ming Li, et al.. (2020). Association of SCN1A, SCN2A, and UGT2B7 Polymorphisms with Responsiveness to Valproic Acid in the Treatment of Epilepsy. BioMed Research International. 2020(1). 8096235–8096235. 10 indexed citations
13.
Ji, Mengyao, Yuan Lei, Wei Shen, et al.. (2020). Characteristics of disease progress in patients with coronavirus disease 2019 in Wuhan, China. Epidemiology and Infection. 148. e94–e94. 28 indexed citations
14.
Wang, Jian, Rui Huang, Xiaomin Yan, et al.. (2020). Red blood cell distribution width: A promising index for evaluating the severity and long-term prognosis of hepatitis B virus–related diseases. Digestive and Liver Disease. 52(4). 440–446. 12 indexed citations
15.
Gao, Fei, Yian Liu, Xiaolong Zhang, et al.. (2018). Myeloid cell-like transcript 2 is related to liver inflammation and the pathogenesis of hepatitis B via the involvement of CD8+T cell activation. Clinical and Experimental Medicine. 19(1). 93–104. 8 indexed citations
16.
Zhou, Xiaoyi, Ximing Xu, Suiyi Wu, et al.. (2016). Spatiotemporal Changes of Calcitonin Gene-Related Peptide Innervation in Spinal Fusion. BioMed Research International. 2016. 1–5. 4 indexed citations
17.
Wang, Hui, Bei Li, Ming Li, et al.. (2016). Factor Analysis of Low-Frequency Repetitive Transcranial Magnetic Stimulation to the Temporoparietal Junction for Tinnitus. Neural Plasticity. 2016. 1–6. 7 indexed citations
18.
Li, Ming, et al.. (2014). [A clinical analysis of 188 cases of pregnancy complicated with critically heart disease].. PubMed. 39(11). 1145–50. 1 indexed citations
19.
Wang, Yuhong, Hong Jiang, Meixiao Shen, et al.. (2012). Quantitative analysis of the intraretinal layers and optic nerve head using ultra-high resolution optical coherence tomography. Journal of Biomedical Optics. 17(6). 66013–66013. 16 indexed citations
20.
Li, Ming, Ke Liu, Jan Michalicek, et al.. (2004). Involvement of chymase-mediated angiotensin II generation in blood pressure regulation. Journal of Clinical Investigation. 114(1). 112–120. 88 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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