Mei Bai

4.9k total citations
73 papers, 3.8k citations indexed

About

Mei Bai is a scholar working on Molecular Biology, Organic Chemistry and Nephrology. According to data from OpenAlex, Mei Bai has authored 73 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Organic Chemistry and 13 papers in Nephrology. Recurrent topics in Mei Bai's work include Parathyroid Disorders and Treatments (13 papers), Synthesis and Catalytic Reactions (8 papers) and Catalytic C–H Functionalization Methods (7 papers). Mei Bai is often cited by papers focused on Parathyroid Disorders and Treatments (13 papers), Synthesis and Catalytic Reactions (8 papers) and Catalytic C–H Functionalization Methods (7 papers). Mei Bai collaborates with scholars based in China, United States and Japan. Mei Bai's co-authors include Edward M. Brown, Sunita Trivedi, Olga Kifor, Stephen Quinn, Zaixiang Zhang, Simon H. S. Pearce, Steven Quinn, Chianping Ye, Peter Vassilev and K. Krapcho and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mei Bai

67 papers receiving 3.7k 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 Bai China 29 1.9k 1.4k 780 581 553 73 3.8k
Martin Traebert Switzerland 27 1.1k 0.6× 918 0.7× 712 0.9× 229 0.4× 186 0.3× 62 2.5k
Mentor Sopjani Kosovo 29 1.5k 0.8× 472 0.3× 213 0.3× 487 0.8× 397 0.7× 78 2.7k
Chunfa Huang United States 22 1.4k 0.7× 399 0.3× 238 0.3× 274 0.5× 199 0.4× 38 2.2k
Isao Hozumi Japan 33 1.4k 0.7× 200 0.1× 746 1.0× 706 1.2× 1.1k 1.9× 142 4.1k
Lewis R. Chase United States 18 1.3k 0.7× 597 0.4× 263 0.3× 331 0.6× 193 0.3× 23 2.6k
Yongping Wang United States 30 2.6k 1.4× 120 0.1× 583 0.7× 666 1.1× 136 0.2× 93 4.6k
Evgeny V. Pavlov United States 38 2.4k 1.3× 133 0.1× 472 0.6× 651 1.1× 514 0.9× 96 4.2k
Grazia Tamma Italy 32 2.0k 1.0× 251 0.2× 249 0.3× 342 0.6× 108 0.2× 91 2.9k
Yoji Sato Japan 36 2.6k 1.3× 81 0.1× 168 0.2× 623 1.1× 402 0.7× 123 4.2k
Harry M. Lander United States 23 2.1k 1.1× 98 0.1× 206 0.3× 1.7k 2.9× 324 0.6× 35 4.4k

Countries citing papers authored by Mei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Mei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Bai. A scholar is included among the top collaborators of Mei Bai 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 Bai. Mei Bai 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.
Pan, Huimin, et al.. (2025). Two Caffeoyl-CoA O-methyltransferase-like enzyme are involved in the biosynthesis of polymethoxyflavones in Citrus reticulata ‘Chachiensis’. International Journal of Biological Macromolecules. 310(Pt 4). 143277–143277. 1 indexed citations
2.
Bai, Mei, et al.. (2025). Binder-free Fe2O3/CuO nanorod arrays for high-efficiency and stable photo-assisted lithium-oxygen batteries. Applied Surface Science. 703. 163396–163396.
4.
Li, Huimin, et al.. (2024). Forging of silaoxycarbocyclics by interrupted Catellani reaction. Chinese Chemical Letters. 36(7). 110474–110474. 2 indexed citations
5.
Bai, Mei, et al.. (2024). Construct heterostructures of MoO3 nanorods modified with Fe2O3 rice grains to improve the performance of light-involved Li-O2 battery. Applied Surface Science. 670. 160626–160626. 3 indexed citations
6.
Zhang, Xinhua, Zhi‐Hui Wang, Yan Chen, et al.. (2024). Palladium-Catalyzed Cycloaddition Reactions of π–Allylpalladium 1,4-Dipoles with 1,3,5-Triazinanes: Access to Hexahydropyrimidines, 1,3-Oxazinanes, and 1,5-Diazocanes. The Journal of Organic Chemistry. 89(12). 8363–8375. 4 indexed citations
7.
Zhou, Haitao, et al.. (2024). In situ generated CF3CHN2 with 3-ylideneoxindoles to access CF3-containing pyrazolo[1,5-c]quinazolines derivatives. RSC Advances. 14(49). 36410–36415. 1 indexed citations
10.
Shi, Ruifeng, Juan Hu, Wei Li, et al.. (2019). Protective effects of Clec11a in islets against lipotoxicity via modulation of proliferation and lipid metabolism in mice. Experimental Cell Research. 384(1). 111613–111613. 8 indexed citations
11.
Aires, Daniel, Masaru Yoshida, Stephen K. Richardson, et al.. (2018). T-cell trafficking plays an essential role in tumor immunity. Laboratory Investigation. 99(1). 85–92. 10 indexed citations
12.
Chang, De-Kuan, Jianhua Sui, Shusheng Geng, et al.. (2012). Humanization of an Anti-CCR4 Antibody That Kills Cutaneous T-Cell Lymphoma Cells and Abrogates Suppression by T-Regulatory Cells. Molecular Cancer Therapeutics. 11(11). 2451–2461. 60 indexed citations
13.
Bai, Mei, Grant Carr, Russell J. DeOrazio, et al.. (2010). 5-Functionalized indazoles as glucocorticoid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 20(10). 3017–3020. 12 indexed citations
14.
Bai, Mei. (2004). Structure–function relationship of the extracellular calcium-sensing receptor. Cell Calcium. 35(3). 197–207. 56 indexed citations
15.
Bai, Mei. (2003). Dimerization of G-protein-coupled receptors: roles in signal transduction. Cellular Signalling. 16(2). 175–186. 138 indexed citations
16.
D’Souza-Li, Lilia Freire Rodrigues, Bing Yang, Lucie Canaff, et al.. (2002). Identification and Functional Characterization of Novel Calcium-Sensing Receptor Mutations in Familial Hypocalciuric Hypercalcemia and Autosomal Dominant Hypocalcemia. The Journal of Clinical Endocrinology & Metabolism. 87(3). 1309–1318. 79 indexed citations
17.
Watanabe, Tomoyuki, Mei Bai, Charles R. Lane, et al.. (1998). Familial Hypoparathyroidism: Identification of a Novel Gain of Function Mutation in Transmembrane Domain 5 of the Calcium-Sensing Receptor1. The Journal of Clinical Endocrinology & Metabolism. 83(7). 2497–2502. 56 indexed citations
18.
Chattopadhyay, Naibedya, Gábor Légrádi, Mei Bai, et al.. (1997). Calcium-sensing receptor in the rat hippocampus: a developmental study. Developmental Brain Research. 100(1). 13–21. 73 indexed citations
19.
Ye, Chianping, Kimberly Rogers, Mei Bai, et al.. (1996). Agonists of the Ca2+-Sensing Receptor (CaR) Activate Nonselective Cation Channels in HEK293 Cells Stably Transfected with the Human CaR. Biochemical and Biophysical Research Communications. 226(2). 572–579. 69 indexed citations
20.
Bai, Mei, Xiao‐Yi Xiao, & Glenn D. Prestwich. (1992). Epoxidation of 2,3-0Xidosqualene to 2,3;22,23-Squalene Dioxide by Squalene Epoxidase. Biochemical and Biophysical Research Communications. 185(1). 323–329. 31 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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