Meifang Chen

1.4k total citations
66 papers, 1.1k citations indexed

About

Meifang Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Meifang Chen has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Meifang Chen's work include Angiogenesis and VEGF in Cancer (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Meifang Chen is often cited by papers focused on Angiogenesis and VEGF in Cancer (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Meifang Chen collaborates with scholars based in China, United States and Taiwan. Meifang Chen's co-authors include Zhong‐Ji Qian, Tianlun Yang, Xiumei Xie, Yuan‐Jian Li, Tony J.-F. Lee, Chu‐Wen Yang, Pengzhi Hong, Chunxia Zhou, Shengrui Tong and Zhaoyun Li and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Meifang Chen

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meifang Chen China 20 498 162 120 113 111 66 1.1k
Ming‐Wei Lin Taiwan 24 734 1.5× 161 1.0× 100 0.8× 65 0.6× 62 0.6× 70 1.4k
Hui Fu China 18 629 1.3× 224 1.4× 116 1.0× 75 0.7× 32 0.3× 66 1.2k
Matilde Colella Italy 19 818 1.6× 108 0.7× 33 0.3× 105 0.9× 51 0.5× 38 1.3k
Zongyang Li China 21 690 1.4× 194 1.2× 118 1.0× 116 1.0× 78 0.7× 85 1.3k
Ganggang Shi China 25 763 1.5× 208 1.3× 190 1.6× 138 1.2× 31 0.3× 96 1.7k
Rui An China 24 1.0k 2.0× 191 1.2× 150 1.3× 116 1.0× 22 0.2× 95 2.1k
Pengyun Li China 22 587 1.2× 57 0.4× 80 0.7× 113 1.0× 21 0.2× 79 1.1k
Yuanyuan Sun China 21 555 1.1× 269 1.7× 75 0.6× 46 0.4× 36 0.3× 69 1.0k
Borbála Kiss Hungary 21 906 1.8× 109 0.7× 164 1.4× 391 3.5× 96 0.9× 38 2.1k
Yu Feng China 16 315 0.6× 73 0.5× 84 0.7× 60 0.5× 23 0.2× 40 784

Countries citing papers authored by Meifang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meifang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meifang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Meifang Chen. A scholar is included among the top collaborators of Meifang Chen 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 Meifang Chen. Meifang Chen 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.
Yang, Liuqing, Ye Yang, Jing Zhang, et al.. (2024). Sequential responsive nano-PROTACs for precise intracellular delivery and enhanced degradation efficacy in colorectal cancer therapy. Signal Transduction and Targeted Therapy. 9(1). 275–275. 42 indexed citations
2.
Chen, Meifang, et al.. (2023). Gut microbiota might mediate the benefits of high-fiber/acetate diet to cardiac hypertrophy mice. Journal of Physiology and Biochemistry. 79(4). 745–756. 8 indexed citations
3.
Xing, Rui, et al.. (2023). Design, synthesis and anticancer activity of naturally occurring C21-steroidal aglycone 3β-nitrogenous heterocyclic ester derivatives. Journal of Molecular Structure. 1288. 135778–135778. 2 indexed citations
4.
Deng, Lin, Shengrui Tong, Wenqian Zhang, et al.. (2022). Formation mechanisms of nitrous acid (HONO) during the haze and non-haze periods in Beijing, China. Journal of Environmental Sciences. 114. 343–353. 8 indexed citations
5.
Yang, Mei, et al.. (2022). Personalized antihypertensive treatment guided by pharmacogenomics in China. Cardiovascular Diagnosis and Therapy. 12(5). 635–645. 5 indexed citations
6.
Ma, Liping, et al.. (2021). Profilin-1 is involved in macroangiopathy induced by advanced glycation end products via vascular remodeling and inflammation. World Journal of Diabetes. 12(11). 1875–1893. 6 indexed citations
7.
Yang, Sheng‐Tao, Meifang Chen, BoMi Ryu, et al.. (2020). The Protective Effect of the Polysaccharide Precursor, D-Isofloridoside, from Laurencia undulata on Alcohol-Induced Hepatotoxicity in HepG2 Cells. Molecules. 25(5). 1024–1024. 11 indexed citations
8.
Zhang, Yaqiong, et al.. (2019). Identification of a New Eight-Long Noncoding RNA Molecular Signature for Breast Cancer Survival Prediction. DNA and Cell Biology. 38(12). 1529–1539. 15 indexed citations
9.
Gong, Fang, Meifang Chen, Yuanyuan Zhang, et al.. (2019). A Novel Peptide from Abalone (Haliotis discus hannai) to Suppress Metastasis and Vasculogenic Mimicry of Tumor Cells and Enhance Anti-Tumor Effect In Vitro. Marine Drugs. 17(4). 244–244. 23 indexed citations
10.
Chen, Meifang, Fang Gong, Chengyong Li, et al.. (2019). Preventive Effect of YGDEY from Tilapia Fish Skin Gelatin Hydrolysates against Alcohol-Induced Damage in HepG2 Cells through ROS-Mediated Signaling Pathways. Nutrients. 11(2). 392–392. 33 indexed citations
11.
12.
Yang, Dafeng, Weiwei Liu, Liping Ma, et al.. (2017). Profilin-1 contributes to cardiac injury induced by advanced glycation end-products in rats. Molecular Medicine Reports. 16(5). 6634–6641. 16 indexed citations
13.
Chen, Meifang, et al.. (2017). Curcumin Induces p53‐Null Hepatoma Cell Line Hep3B Apoptosis through the AKT‐PTEN‐FOXO4 Pathway. Evidence-based Complementary and Alternative Medicine. 2017(1). 4063865–4063865. 26 indexed citations
14.
Yang, Mei, Li Fang, Qing He, et al.. (2012). Extracellular nucleotide inhibits cell proliferation and negatively regulates Toll‐like receptor 4 signalling in human progenitor endothelial cells. Cell Biology International. 36(7). 625–633. 13 indexed citations
15.
Fang, Li, et al.. (2011). The Effect of Endothelial Progenitor Cells on Angiotensin II–induced Proliferation of Cultured Rat Vascular Smooth Muscle Cells. Journal of Cardiovascular Pharmacology. 58(6). 617–625. 9 indexed citations
16.
Yang, Mei, Xueting Liu, Qing He, et al.. (2011). P2Y11 impairs cell proliferation by induction of cell cycle arrest and sensitizes endothelial cells to cisplatin‐induced cell death. Journal of Cellular Biochemistry. 112(9). 2257–2265. 16 indexed citations
17.
Chen, Meifang, et al.. (2011). Bimodal effects of fluoxetine on cerebral nitrergic neurogenic vasodilation in porcine large cerebral arteries. Neuropharmacology. 62(4). 1651–1658. 7 indexed citations
18.
Chen, Meifang, Yuan‐Jian Li, Yongjin Wang, et al.. (2011). Involvement of profilin-1 in angiotensin II-induced vascular smooth muscle cell proliferation. Vascular Pharmacology. 55(1-3). 34–41. 26 indexed citations
19.
Wang, Shoukun, et al.. (2010). STUDY ON TRYPTASE IN THE MAST CELL IN THE DIGESTIVE TRACT OF INDIAN BULLFROG (<I>RANA TIGRINA RUGULOSA</I>) BY AN IMMUNOHISTOCHEMICAL METHOD. Acta Hydrobiologica Sinica. 36(1). 29–34. 2 indexed citations
20.
Chen, Shuxia, et al.. (2005). Pharmacokinetics of Sophocarpine in Healthy Volunteers. 3 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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