Jin Mei

1.1k total citations
53 papers, 796 citations indexed

About

Jin Mei is a scholar working on Surgery, Biomaterials and Infectious Diseases. According to data from OpenAlex, Jin Mei has authored 53 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 19 papers in Biomaterials and 8 papers in Infectious Diseases. Recurrent topics in Jin Mei's work include Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and Reconstructive Surgery and Microvascular Techniques (13 papers). Jin Mei is often cited by papers focused on Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and Reconstructive Surgery and Microvascular Techniques (13 papers). Jin Mei collaborates with scholars based in China, United States and Saudi Arabia. Jin Mei's co-authors include Yaling Yu, Yu‐Qiang Ding, Maolin Tang, Weihua Hu, Li Chang, Zhibin Wang, Yingkuan Shao, Hongyun Lu, Kezhi Lin and Weiwen Zhang and has published in prestigious journals such as Biomaterials, Journal of Lipid Research and Plastic & Reconstructive Surgery.

In The Last Decade

Jin Mei

52 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Mei China 16 467 277 180 129 126 53 796
Molly K. Smith United States 12 283 0.6× 184 0.7× 286 1.6× 118 0.9× 133 1.1× 16 1.0k
Karl H. Hillebrandt Germany 14 483 1.0× 303 1.1× 197 1.1× 52 0.4× 63 0.5× 68 715
Shyi-Gen Chen Taiwan 19 598 1.3× 124 0.4× 74 0.4× 73 0.6× 26 0.2× 90 1.1k
Melania Maglio Italy 16 207 0.4× 86 0.3× 223 1.2× 178 1.4× 194 1.5× 47 948
Heinz Gulle Austria 15 260 0.6× 109 0.4× 158 0.9× 132 1.0× 33 0.3× 26 567
Catherine Stavropoulos‐Giokas Greece 18 344 0.7× 240 0.9× 80 0.4× 96 0.7× 14 0.1× 68 1.1k
Fernando Verdugo United States 18 310 0.7× 92 0.3× 91 0.5× 197 1.5× 37 0.3× 55 1.1k
Neetu Soni United States 20 215 0.5× 52 0.2× 139 0.8× 105 0.8× 42 0.3× 96 1.1k
Jonathan Merola United States 14 172 0.4× 68 0.2× 191 1.1× 147 1.1× 35 0.3× 25 676
Thierry Fabre France 12 380 0.8× 73 0.3× 142 0.8× 35 0.3× 61 0.5× 65 639

Countries citing papers authored by Jin Mei

Since Specialization
Citations

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

Fields of papers citing papers by Jin Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Mei. A scholar is included among the top collaborators of Jin Mei 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 Jin Mei. Jin Mei 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.
Wen, Xin, Yao Chen, Jin Mei, et al.. (2025). Adipocyte exosome miR‐4472 inhibits glucose uptake in skeletal muscle through downregulation of MEF2D. Journal of Diabetes Investigation. 16(8). 1382–1397.
2.
Li, Wei, Jin Mei, Xin Wen, et al.. (2025). Exosome-derived miR-548ag drives hepatic lipid accumulation via upregulating FASN through inhibition of DNMT3B. Journal of Lipid Research. 66(6). 100818–100818. 4 indexed citations
3.
Wang, Zhiyi, Zhibin Wang, Junyi Zhu, et al.. (2021). Effect of heparinization on promoting angiogenesis of decellularized kidney scaffolds. Journal of Biomedical Materials Research Part A. 109(10). 1979–1989. 14 indexed citations
4.
Luo, Shunkui, Weihua Hu, Li Chang, et al.. (2021). Diabetes patients with comorbidities had unfavorable outcomes following COVID-19: A retrospective study. World Journal of Diabetes. 12(10). 1789–1808. 7 indexed citations
5.
Qian, Guoqing, Yong Zhang, Yang Xu, et al.. (2021). Reduced inflammatory responses to SARS-CoV-2 infection in children presenting to hospital with COVID-19 in China. EClinicalMedicine. 34. 100831–100831. 18 indexed citations
6.
Weng, Jie, Bi Chen, Peng Wang, et al.. (2021). Rabbit thyroid extracellular matrix as a 3D bioscaffold for thyroid bioengineering: a preliminary in vitro study. BioMedical Engineering OnLine. 20(1). 18–18. 8 indexed citations
7.
Yu, Yaling, Weiying Zhang, Xuanzhe Liu, et al.. (2021). Extracellular matrix scaffold-immune microenvironment modulates tissue regeneration. Composites Part B Engineering. 230. 109524–109524. 49 indexed citations
8.
Mei, Jin, Weihua Hu, Li Chang, et al.. (2020). Development and external validation of a COVID-19 mortality risk prediction algorithm: a multicentre retrospective cohort study. BMJ Open. 10(12). e044028–e044028. 16 indexed citations
9.
Yu, Yaling, Haomin Cui, Chuan Chen, et al.. (2018). Hypoxia-inducible Factor-1α directs renal regeneration induced by decellularized scaffolds. Biomaterials. 165. 48–55. 26 indexed citations
10.
Yu, Yaling, et al.. (2017). Glutaraldehyde Cross-linking Modification of Decellularized Rat Kidney Scaffolds. Methods in molecular biology. 1577. 111–119. 8 indexed citations
11.
Wei, Qun, et al.. (2015). FOXA1 Expression Significantly Predict Response to Chemotherapy in Estrogen Receptor-Positive Breast Cancer Patients. Annals of Surgical Oncology. 22(6). 2034–2039. 19 indexed citations
12.
Yu, Yaling, Yingkuan Shao, Yu‐Qiang Ding, et al.. (2014). Decellularized kidney scaffold-mediated renal regeneration. Biomaterials. 35(25). 6822–6828. 91 indexed citations
13.
Mei, Jin, et al.. (2013). An anatomic study of the dorsal forearm perforator flaps. Surgical and Radiologic Anatomy. 35(8). 695–700. 15 indexed citations
14.
Wang, Xin, et al.. (2012). Reconstruction of Distal Limb Defects with the Free Medial Sural Artery Perforator Flap. Plastic & Reconstructive Surgery. 131(1). 95–105. 50 indexed citations
15.
Chen, Hong, et al.. (2012). [Anatomy of the free descending genicular artery perforator flap and its clinical application for soft-tissue defects at extremities].. PubMed. 28(2). 92–5. 1 indexed citations
16.
Mei, Mei, et al.. (2012). Diffuse type gastric carcinoma presenting as giant gastric folds: Lessons learned from six miss diagnosed cases. Clinics and Research in Hepatology and Gastroenterology. 36(5). 505–509. 1 indexed citations
17.
Mei, Jin, et al.. (2010). Functional Total Heel Reconstruction with a Fibular Osteomyocutaneous Flap. Journal of Reconstructive Microsurgery. 26(6). 367–373. 2 indexed citations
18.
Mei, Jin, Ji Zhang, Siwang Hu, et al.. (2009). A mini pig model for visualization of perforator flap by using angiography and MIMICS. Surgical and Radiologic Anatomy. 32(5). 477–484. 15 indexed citations
19.
Mai, Gang, P. Morel, Jin Mei, et al.. (2005). Treatment of fulminant liver failure by transplantation of microencapsulated primary or immortalized xenogeneic hepatocytes. Transplantation Proceedings. 37(1). 527–529. 15 indexed citations
20.
Mei, Jin, et al.. (1998). [Treatment of metastatic bone pain with Aredia(Pamidronate)].. PubMed. 20(4). 310–2. 1 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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