Yuying Wu

778 total citations
24 papers, 459 citations indexed

About

Yuying Wu is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuying Wu has authored 24 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuying Wu's work include 14-3-3 protein interactions (12 papers), Ubiquitin and proteasome pathways (7 papers) and Microbial Natural Products and Biosynthesis (3 papers). Yuying Wu is often cited by papers focused on 14-3-3 protein interactions (12 papers), Ubiquitin and proteasome pathways (7 papers) and Microbial Natural Products and Biosynthesis (3 papers). Yuying Wu collaborates with scholars based in United States, China and Taiwan. Yuying Wu's co-authors include Yi Zhou, Molly Foote, Haifa Qiao, Yong Li, Baohui Jia, Zhe Xu, Myra M. Hurt, Raed Rizkallah, Fengshan Liang and Yanchang Wang and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Yuying Wu

21 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuying Wu United States	11	327	96	89	70	40	24	459
Katrin Buder Germany	9	190 0.6×	67 0.7×	67 0.8×	55 0.8×	69 1.7×	12	603
Zhengyu Cao China	15	324 1.0×	116 1.2×	51 0.6×	29 0.4×	31 0.8×	30	667
Xiankui Sun United States	10	481 1.5×	103 1.1×	183 2.1×	18 0.3×	64 1.6×	13	586
M Wasilewski Poland	16	681 2.1×	88 0.9×	115 1.3×	30 0.4×	85 2.1×	29	834
Yulan Jiang China	13	231 0.7×	132 1.4×	180 2.0×	45 0.6×	14 0.3×	52	504
Xiao Wen Fu United States	13	304 0.9×	81 0.8×	20 0.2×	32 0.5×	100 2.5×	18	506
Michelle C. Catlin United States	4	372 1.1×	226 2.4×	69 0.8×	29 0.4×	80 2.0×	6	572
Pablo Calap-Quintana Spain	10	248 0.8×	178 1.9×	86 1.0×	15 0.2×	44 1.1×	11	388
Timothy C. Baranowski United States	6	220 0.7×	58 0.6×	223 2.5×	20 0.3×	29 0.7×	9	426

Countries citing papers authored by Yuying Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yuying Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuying Wu. A scholar is included among the top collaborators of Yuying Wu 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 Yuying Wu. Yuying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Yuying, Mengying Wei, Mengyao Wang, et al.. (2025). Schisandra total lignans ameliorate neuronal ferroptosis in 3xTg-AD mice via regulating NADK/NADPH/GSH pathway. Phytomedicine. 140. 156612–156612. 7 indexed citations

Wu, Chih‐Ying, Chih‐Chuang Liaw, Yuying Wu, et al.. (2025). Ugonin P mitigates osteolytic bone metastasis by suppressing MDK via upregulating miR-223-3p expression. International Journal of Biological Sciences. 21(8). 3740–3754.

Song, Shiqing, Yuying Wu, Huatian Wang, et al.. (2025). The effect of in vitro simulated digestion on peptide release of Torreya grandis meal proteins and bioactivity assessment of the hydrolysates. Journal of Food Measurement & Characterization. 19(4). 2777–2790. 1 indexed citations

Wu, Yuying, Zhizhen Zhang, & Xiao‐Yuan Lian. (2025). Ginsenoside Rc mitigates hippocampal neuronal damage and cognitive impairment in vascular dementia rats via the pY705-Stat3/Foxo3a and pS727-Stat3/GRIM-19 pathways. Journal of Ginseng Research. 49(6). 702–713.

Liu, Shan‐Chi, et al.. (2025). Fibrosis factor CTGF facilitates VCAM‑1‑dependent monocyte adhesion to osteoarthritis synovial fibroblasts via the FAK and JNK pathways. Molecular Medicine Reports. 31(5). 1–10. 1 indexed citations

Wu, Yuying, et al.. (2024). Inhibition of 14‐3‐3 proteins increases the intrinsic excitability of mouse hippocampal CA1 pyramidal neurons. European Journal of Neuroscience. 59(12). 3309–3321.

Wu, Yuying, Yu-Wen Huang, Nguyen Bao Tran, et al.. (2023). Glutamine metabolism controls amphiregulin-facilitated chemoresistance to cisplatin in human chondrosarcoma. International Journal of Biological Sciences. 19(16). 5174–5186. 7 indexed citations

Jones, Zachary, Jiajing Zhang, Yuying Wu, & Yi Zhou. (2021). Inhibition of 14-3-3 Proteins Alters Neural Oscillations in Mice. Frontiers in Neural Circuits. 15. 647856–647856. 3 indexed citations

Lee, Gloria, et al.. (2021). 14-3-3 proteins promote synaptic localization of N-methyl d-aspartate receptors (NMDARs) in mouse hippocampal and cortical neurons. PLoS ONE. 16(12). e0261791–e0261791. 7 indexed citations

10.

Zhu, Xiaoyu, et al.. (2019). Fenobucarb induces heart failure and cerebral hemorrhage in zebrafish. Aquatic Toxicology. 209. 34–41. 23 indexed citations

11.

Zhang, Jiajing, et al.. (2019). Region-specific inhibition of 14-3-3 proteins induces psychomotor behaviors in mice. Schizophrenia. 5(1). 1–1. 15 indexed citations

12.

Zhu, Jianliang, et al.. (2019). SC79, a novel Akt activator, protects dopaminergic neuronal cells from MPP+ and rotenone. Molecular and Cellular Biochemistry. 461(1-2). 81–89. 32 indexed citations

13.

Foote, Molly, et al.. (2015). Inhibition of 14-3-3 Proteins Leads to Schizophrenia-Related Behavioral Phenotypes and Synaptic Defects in Mice. Biological Psychiatry. 78(6). 386–395. 52 indexed citations

14.

Qiao, Haifa, et al.. (2014). 14-3-3 Proteins Are Required for Hippocampal Long-Term Potentiation and Associative Learning and Memory. Journal of Neuroscience. 34(14). 4801–4808. 60 indexed citations

15.

Jia, Baohui, Yuying Wu, & Yi Zhou. (2014). 14-3-3 and aggresome formation: Implications in neurodegenerative diseases. Prion. 8(2). 173–177. 37 indexed citations

16.

Sun, Changcheng, Haifa Qiao, Qin Zhou, et al.. (2013). Modulation of GluK2a Subunit-containing Kainate Receptors by 14-3-3 Proteins. Journal of Biological Chemistry. 288(34). 24676–24690. 10 indexed citations

17.

Xu, Zhe, Molly Foote, Fengshan Liang, et al.. (2013). 14-3-3 targets chaperone-associated misfolded proteins to aggresomes. Journal of Cell Science. 126(Pt 18). 4173–86. 83 indexed citations

18.

Li, Yong, et al.. (2010). Intracellular Regions of the Eag Potassium Channel Play a Critical Role in Generation of Voltage-dependent Currents. Journal of Biological Chemistry. 286(2). 1389–1399. 3 indexed citations

19.

Li, Yong, Yuying Wu, Rui Li, & Yi Zhou. (2007). The Role of 14-3-3 Dimerization in Its Modulation of the CaV2.2 Channel. Channels. 1(1). 2–3. 6 indexed citations

20.

Li, Yong, Yuying Wu, & Yi Zhou. (2006). Modulation of Inactivation Properties of CaV2.2 Channels by 14-3-3 Proteins. Neuron. 51(6). 755–771. 45 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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