Mei Ding

1.6k total citations
57 papers, 1.2k citations indexed

About

Mei Ding is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Mei Ding has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Aging and 12 papers in Cell Biology. Recurrent topics in Mei Ding's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Lipid metabolism and biosynthesis (8 papers) and Circadian rhythm and melatonin (7 papers). Mei Ding is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Lipid metabolism and biosynthesis (8 papers) and Circadian rhythm and melatonin (7 papers). Mei Ding collaborates with scholars based in China, United States and Sweden. Mei Ding's co-authors include Andrew Chisholm, Kang Shen, Anders Hamberger, Xun Huang, Ian D. Chin-Sang, Sarah Moseley, George Wang, Camilla Eliasson, Jingjing Liang and Milos Pekny and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mei Ding

48 papers receiving 1.2k 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 Ding China 20 628 337 308 278 181 57 1.2k
J. Alex Parker Canada 25 1.3k 2.1× 697 2.1× 578 1.9× 287 1.0× 494 2.7× 51 2.5k
Michael J. Steinbaugh United States 12 767 1.2× 622 1.8× 107 0.3× 129 0.5× 257 1.4× 18 1.5k
Jeff W. Barclay United Kingdom 25 978 1.6× 298 0.9× 467 1.5× 688 2.5× 344 1.9× 49 1.6k
Rafael P. Vázquez‐Manrique Spain 20 801 1.3× 273 0.8× 412 1.3× 109 0.4× 145 0.8× 43 1.2k
Kenneth R. Norman United States 18 634 1.0× 449 1.3× 170 0.6× 273 1.0× 247 1.4× 29 1.2k
Janne M. Toivonen Spain 19 1.2k 1.9× 596 1.8× 332 1.1× 96 0.3× 338 1.9× 41 2.1k
Kuchuan Chen United States 10 668 1.1× 108 0.3× 417 1.4× 250 0.9× 111 0.6× 10 1.1k
Dobril Ivanov United Kingdom 14 866 1.4× 146 0.4× 214 0.7× 64 0.2× 176 1.0× 25 1.6k
Manish Jaiswal United States 22 1.3k 2.1× 95 0.3× 467 1.5× 450 1.6× 314 1.7× 31 2.0k
Aaron Voigt Germany 24 1.0k 1.6× 126 0.4× 526 1.7× 329 1.2× 362 2.0× 44 1.9k

Countries citing papers authored by Mei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Ding. A scholar is included among the top collaborators of Mei Ding 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 Ding. Mei Ding 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.
Ding, Mei, et al.. (2025). Barcode-integrated cellulose based microfluidic system for intelligent point-of-care blood typing. Lab on a Chip. 25(21). 5628–5637.
2.
Wang, Baolei, Jingjing Liang, Liang Yu, et al.. (2024). Spatiotemporal recruitment of the ubiquitin-specific protease USP8 directs endosome maturation. eLife. 13.
3.
Liu, Cen, et al.. (2023). RAS‐targeted cancer therapy: Advances in drugging specific mutations. SHILAP Revista de lepidopterología. 4(3). e285–e285. 13 indexed citations
4.
Zhao, Ting, et al.. (2022). The cell cortex-localized protein CHDP-1 is required for dendritic development and transport in C. elegans neurons. PLoS Genetics. 18(9). e1010381–e1010381. 3 indexed citations
5.
Ren, Jinqi, Yurong Zhou, Shuang Wang, et al.. (2021). Motor domain-mediated autoinhibition dictates axonal transport by the kinesin UNC-104/KIF1A. PLoS Genetics. 17(11). e1009940–e1009940. 8 indexed citations
6.
Yang, Xiao, Jingjing Liang, Long Ding, et al.. (2019). Phosphatidylserine synthase regulates cellular homeostasis through distinct metabolic mechanisms. PLoS Genetics. 15(12). e1008548–e1008548. 26 indexed citations
7.
Wang, Jiaming & Mei Ding. (2018). Robo and Ror function in a common receptor complex to regulate Wnt-mediated neurite outgrowth in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 115(10). E2254–E2263. 11 indexed citations
8.
Yao, Yan, Xia Li, Wei Wang, et al.. (2018). MRT, Functioning with NURF Complex, Regulates Lipid Droplet Size. Cell Reports. 24(11). 2972–2984. 14 indexed citations
9.
Wu, Jing-Xiang, Yunsheng Cheng, Jue Wang, et al.. (2015). Structural insight into the mechanism of synergistic autoinhibition of SAD kinases. Nature Communications. 6(1). 8953–8953. 18 indexed citations
10.
Ding, Mei, et al.. (2014). Red yeast rice repairs kidney damage and reduces inflammatory transcription factors in rat models of hyperlipidemia. Experimental and Therapeutic Medicine. 8(6). 1737–1744. 18 indexed citations
11.
Liu, Zhenglong, et al.. (2014). A Lipid Droplet-Associated GFP Reporter-Based Screen Identifies New Fat Storage Regulators in C. elegans. Journal of genetics and genomics. 41(5). 305–313. 40 indexed citations
12.
Zhang, Jingyan, Xia Li, Jiaming Wang, et al.. (2013). Neuronal Target Identification Requires AHA-1-Mediated Fine-Tuning of Wnt Signaling in C. elegans. PLoS Genetics. 9(6). e1003618–e1003618. 20 indexed citations
13.
Ding, Mei, et al.. (2012). Pyrroloquinoline quinone rescues hippocampal neurons from glutamate-induced cell death through activation of Nrf2 and up-regulation of antioxidant genes. Genetics and Molecular Research. 11(3). 2652–2664. 21 indexed citations
14.
Ding, Mei, et al.. (2007). Spatial Regulation of an E3 Ubiquitin Ligase Directs Selective Synapse Elimination. Science. 317(5840). 947–951. 86 indexed citations
15.
Ding, Mei, Wei‐Meng Woo, & Andrew Chisholm. (2004). The cytoskeleton and epidermal morphogenesis in. Experimental Cell Research. 301(1). 84–90. 34 indexed citations
16.
Ding, Mei, Alexandr Goncharov, Yishi Jin, & Andrew Chisholm. (2003). C. elegans ankyrin repeat protein VAB-19 is a component of epidermal attachment structures and is essential for epidermal morphogenesis. Development. 130(23). 5791–5801. 55 indexed citations
17.
Ding, Mei, Kenneth G. Haglid, & Anders Hamberger. (2000). Quantitative immunochemistry on neuronal loss, reactive gliosis and BBB damage in cortex/striatum and hippocampus/amygdala after systemic kainic acid administration. Neurochemistry International. 36(4-5). 313–318. 54 indexed citations
18.
Chin-Sang, Ian D., et al.. (1999). The Ephrin VAB-2/EFN-1 Functions in Neuronal Signaling to Regulate Epidermal Morphogenesis in C. elegans. Cell. 99(7). 781–790. 143 indexed citations
19.
Ding, Mei, Camilla Eliasson, Christer Betsholtz, Anders Hamberger, & Milos Pekny. (1998). Altered taurine release following hypotonic stress in astrocytes from mice deficient for GFAP and vimentin. Molecular Brain Research. 62(1). 77–81. 73 indexed citations
20.
Wang, Shu, Anders Hamberger, Mei Ding, & Kenneth G. Haglid. (1992). In Vivo Activation of Kainate Receptors Induces Dephosphorylation of the Heavy Neurofilament Subunit. Journal of Neurochemistry. 59(5). 1975–1978. 12 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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