Mei Yuan

1.0k total citations
26 papers, 861 citations indexed

About

Mei Yuan is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mei Yuan has authored 26 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mei Yuan's work include Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Galectins and Cancer Biology (5 papers). Mei Yuan is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Galectins and Cancer Biology (5 papers). Mei Yuan collaborates with scholars based in China, United States and Japan. Mei Yuan's co-authors include Steven H. Itzkowitz, Sen‐itiroh Hakomori, Young S. Kim, Alka Palekar, Benjamin F. Trump, Tokio Kaizu, Yong Suk Chung, Kaoru Umeyama, Abulkalam M. Shamsuddin and Yasuo Fukushi and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and International Journal of Cancer.

In The Last Decade

Mei Yuan

26 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Yuan China 13 613 268 263 146 136 26 861
Karen Affleck United Kingdom 17 489 0.8× 113 0.4× 203 0.8× 567 3.9× 136 1.0× 24 1.2k
Yoshiyuki Kanai Japan 17 312 0.5× 214 0.8× 131 0.5× 175 1.2× 16 0.1× 33 752
William Gillespie United States 12 395 0.6× 181 0.7× 52 0.2× 52 0.4× 74 0.5× 20 667
Teresa L. Tinder United States 17 700 1.1× 524 2.0× 161 0.6× 527 3.6× 64 0.5× 28 1.4k
Anna Jaśkiewicz Poland 12 550 0.9× 106 0.4× 39 0.1× 94 0.6× 88 0.6× 28 826
Μαρία Κατσάρα Australia 16 453 0.7× 390 1.5× 137 0.5× 102 0.7× 79 0.6× 20 852
W E Serafin United States 19 523 0.9× 1.0k 3.8× 63 0.2× 166 1.1× 153 1.1× 24 1.5k
Byung-Kwon Choi United States 7 478 0.8× 72 0.3× 146 0.6× 85 0.6× 60 0.4× 14 632
Yuko Tashima Japan 15 567 0.9× 170 0.6× 34 0.1× 101 0.7× 134 1.0× 39 961
Sandra Odom United States 18 584 1.0× 1.4k 5.2× 227 0.9× 93 0.6× 33 0.2× 21 1.8k

Countries citing papers authored by Mei Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yuan. A scholar is included among the top collaborators of Mei Yuan 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 Mei Yuan. Mei Yuan 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.
Yuan, Mei, et al.. (2023). Analysis of the correlation between clinical efficacy and blood concentration of olanzapine in schizophrenia patients. Medicine. 102(10). e32912–e32912. 2 indexed citations
2.
3.
4.
Yuan, Mei, Xiaowen Meng, Jiao Ma, et al.. (2019). <p>Dexmedetomidine protects H9c2 cardiomyocytes against oxygen-glucose deprivation/reoxygenation-induced intracellular calcium overload and apoptosis through regulating FKBP12.6/RyR2 signaling</p>. Drug Design Development and Therapy. Volume 13. 3137–3149. 26 indexed citations
5.
Yuan, Mei, Yan Feng, Pei‐Jer Chen, et al.. (2018). Direct activation of tachykinin receptors within baroreflex afferent pathway and neurocontrol of blood pressure regulation. CNS Neuroscience & Therapeutics. 25(1). 123–135. 11 indexed citations
6.
Xie, X. C., Wei Chen, Ning Zhang, et al.. (2017). Selective Tissue Distribution Mediates Tissue-Dependent PPARγ Activation and Insulin Sensitization by INT131, a Selective PPARγ Modulator. Frontiers in Pharmacology. 8. 317–317. 10 indexed citations
7.
Liu, Yang, Di Wu, Jianli He, et al.. (2016). Neuropeptide Y-mediated sex- and afferent-specific neurotransmissions contribute to sexual dimorphism of baroreflex afferent function. Oncotarget. 7(40). 66135–66148. 9 indexed citations
8.
Lai, Duo, Xiaoyong Jin, Hao Wang, Mei Yuan, & Hanhong Xu. (2014). Gene expression profile change and growth inhibition in Drosophila larvae treated with azadirachtin. Journal of Biotechnology. 185. 51–56. 45 indexed citations
9.
Li, Junnan, Zhen Yan, Limin Han, et al.. (2013). Gender Differences in Histamine-Induced Depolarization and Inward Currents in Vagal Ganglion Neurons in Rats. International Journal of Biological Sciences. 9(10). 1079–1088. 15 indexed citations
10.
Liu, Yang, Limin Han, Mei Yuan, et al.. (2013). Increase in Neuroexcitability of Unmyelinated C‐type Vagal Ganglion Neurons During Initial Postnatal Development of Visceral Afferent Reflex Functions. CNS Neuroscience & Therapeutics. 19(12). 954–962. 10 indexed citations
11.
Li, Wen‐Hsiung, et al.. (1997). [Effects of calcium inhibitor on hydrogen peroxide-induced damage and calcium influx in bovine aortic endothelial cells in culture].. PubMed. 32(7). 485–9. 2 indexed citations
12.
Ho, Jenny J. L., Jian Huang, James C. Byrd, et al.. (1993). Monoclonal antibody directed against colon cancer mucin has high specificity for malignancy. International Journal of Cancer. 54(3). 467–474. 17 indexed citations
13.
Huang, Jian, et al.. (1993). Monoclonal antibodies against partially deglycosylated colon cancer mucin that recognize Tn antigen.. PubMed. 10(2). 81–94. 27 indexed citations
14.
Ho, Jenny J. L., Yong Suk Chung, Mei Yuan, Jerry G. Henslee, & Young S. Kim. (1992). Differences in expression of SPan‐1 and CA15‐3 antigens in blood and tissues. International Journal of Cancer. 52(5). 693–700. 11 indexed citations
15.
Ho, Jenny J. L., et al.. (1991). Characterization of new pancreatic cancer-reactive monoclonal antibodies directed against purified mucin.. PubMed. 51(1). 372–80. 22 indexed citations
16.
Itzkowitz, Steven H., Mei Yuan, Y Fukushi, et al.. (1988). Immunohistochemical comparison of Lea, monosialosyl Lea (CA 19-9), and disialosyl Lea antigens in human colorectal and pancreatic tissues.. PubMed. 48(13). 3834–42. 64 indexed citations
17.
Yuan, Mei, et al.. (1986). Comparison of T-antigen expression in normal, premalignant, and malignant human colonic tissue using lectin and antibody immunohistochemistry.. PubMed. 46(9). 4841–7. 97 indexed citations
18.
Kim, Young S., Mei Yuan, Steven H. Itzkowitz, et al.. (1986). Expression of LeY and extended LeY blood group-related antigens in human malignant, premalignant, and nonmalignant colonic tissues.. PubMed. 46(11). 5985–92. 157 indexed citations
19.
Itzkowitz, Steven H., Mei Yuan, Yasuo Fukushi, et al.. (1986). Lewisx- and sialylated Lewisx-related antigen expression in human malignant and nonmalignant colonic tissues.. PubMed. 46(5). 2627–32. 152 indexed citations
20.
Ho, Jenny J. L., et al.. (1985). APLIKASI PENENTUAN JUMLAH ORDER KARENA PENGARUH KUANTITAS DISKON DENGAN METODE ECONOMIC ORDER QUANTITY. Cancer Research. 45(12 Pt 1). 6179–87. 24 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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