Ping Su

793 total citations
29 papers, 527 citations indexed

About

Ping Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ping Su has authored 29 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Ping Su's work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Ping Su is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Ping Su collaborates with scholars based in Canada, China and United States. Ping Su's co-authors include Fang Liu, Albert H.C. Wong, Frankie H. F. Lee, Dongxu Zhai, Shupeng Li, Anlong Jiang, Fang Liu, Jie Zhang, Yaling Shi and Jinfeng Wang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Ping Su

29 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Su Canada	13	284	197	67	62	48	29	527
Yun‐Fang Jia United States	13	163 0.6×	168 0.9×	64 1.0×	54 0.9×	51 1.1×	21	490
Jürgen Tuvikene Estonia	11	199 0.7×	200 1.0×	47 0.7×	75 1.2×	75 1.6×	25	519
Naoki Ito Japan	10	280 1.0×	251 1.3×	64 1.0×	58 0.9×	106 2.2×	25	731
Gabriel Zimmerman Israel	15	314 1.1×	173 0.9×	70 1.0×	43 0.7×	93 1.9×	21	732
Pooneh Memar Ardestani United States	9	211 0.7×	158 0.8×	45 0.7×	41 0.7×	95 2.0×	16	483
Kiran Sapkota United States	12	217 0.8×	285 1.4×	84 1.3×	37 0.6×	24 0.5×	20	489
Keke Ren China	14	249 0.9×	166 0.8×	182 2.7×	104 1.7×	54 1.1×	29	686
Martha C. Rivera‐Cervantes Mexico	16	226 0.8×	247 1.3×	46 0.7×	36 0.6×	126 2.6×	24	602
Rebeca Martínez-Turrillas Spain	12	323 1.1×	459 2.3×	105 1.6×	51 0.8×	34 0.7×	14	660
Hidekazu Sotoyama Japan	15	237 0.8×	259 1.3×	58 0.9×	45 0.7×	33 0.7×	32	552

Countries citing papers authored by Ping Su

Since Specialization

Citations

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

Fields of papers citing papers by Ping Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Su. A scholar is included among the top collaborators of Ping Su 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 Ping Su. Ping Su 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

Saraceno, G. Ezequiel, Corey Butler, Nahoko Kuga, et al.. (2024). Non-canonical interplay between glutamatergic NMDA and dopamine receptors shapes synaptogenesis. Nature Communications. 15(1). 27–27. 7 indexed citations

Su, Ping, Kai Chen, Lianyan Huang, et al.. (2024). EF1α-associated protein complexes affect dendritic spine plasticity by regulating microglial phagocytosis in Fmr1 knock-out mice. Molecular Psychiatry. 29(4). 1099–1113. 2 indexed citations

Li, Yun, et al.. (2024). Sex and Age Differences in Glucocorticoid Signaling After an Aversive Experience in Mice. Cells. 13(24). 2041–2041. 1 indexed citations

Zhai, Dongxu, Le Wang, Ping Su, et al.. (2023). Small-molecule targeting AMPA-mediated excitotoxicity has therapeutic effects in mouse models for multiple sclerosis. Science Advances. 9(49). eadj6187–eadj6187. 9 indexed citations

Su, Ping, Jian Yang, Junchao Tong, et al.. (2022). Serum amyloid P component (SAP) modulates antidepressant effects through promoting membrane insertion of the serotonin transporter. Neuropsychopharmacology. 48(3). 508–517. 4 indexed citations

Wang, Jijun, Ping Su, Jian Yang, et al.. (2022). The D2R-DISC1 protein complex and associated proteins are altered in schizophrenia and normalized with antipsychotic treatment. Journal of Psychiatry and Neuroscience. 47(2). E134–E147. 10 indexed citations

Jiang, Anlong, Ping Su, Shupeng Li, Albert H.C. Wong, & Fang Liu. (2021). Disrupting the α7nAChR–NR2A protein complex exerts antidepressant-like effects. Molecular Brain. 14(1). 107–107. 9 indexed citations

Sun, Jie, et al.. (2021). Dynamic causal modeling of the working memory system of aneurysmal subarachnoid hemorrhage patients: Searching for targets for cortical intervention. Brain and Behavior. 11(10). e2307–e2307. 2 indexed citations

Li, Haiyin, Ping Su, Anlong Jiang, et al.. (2020). The glucocorticoid receptor–FKBP51 complex contributes to fear conditioning and posttraumatic stress disorder. Journal of Clinical Investigation. 130(2). 877–889. 52 indexed citations

10.

Su, Ping, Hailong Zhang, Albert H.C. Wong, & Fang Liu. (2020). The DISC1 R264Q variant increases affinity for the dopamine D2 receptor and increases GSK3 activity. Molecular Brain. 13(1). 87–87. 7 indexed citations

11.

Lee, Frankie H. F., et al.. (2019). Altered cortical Cytoarchitecture in the Fmr1 knockout mouse. Molecular Brain. 12(1). 56–56. 34 indexed citations

12.

Vekariya, Rakesh H., R. Benjamin Free, Yun Li, et al.. (2018). Structure-Activity Investigation of a G Protein-Biased Agonist Reveals Molecular Determinants for Biased Signaling of the D2 Dopamine Receptor. Frontiers in Synaptic Neuroscience. 10. 2–2. 13 indexed citations

13.

Lu, Justin, Ping Su, James Barber, et al.. (2017). The neuroprotective effect of nicotine in Parkinson’s disease models is associated with inhibiting PARP-1 and caspase-3 cleavage. PeerJ. 5. e3933–e3933. 30 indexed citations

14.

Su, Ping & Fang Liu. (2017). A peptide disrupting the D2R-DAT interaction protects against dopamine neurotoxicity. Experimental Neurology. 295. 176–183. 12 indexed citations

15.

Su, Ping, et al.. (2016). Disrupting GluA2-GAPDH Interaction Affects Axon and Dendrite Development. Scientific Reports. 6(1). 30458–30458. 13 indexed citations

16.

Su, Ping, et al.. (2015). Anticancer Agents Derived from Natural Cinnamic Acids. Anti-Cancer Agents in Medicinal Chemistry. 15(8). 980–987. 46 indexed citations

17.

Ng, Enoch, Ping Su, Caleb J. Browne, et al.. (2015). Neuronal calcium sensor-1 deletion in the mouse decreases motivation and dopamine release in the nucleus accumbens. Behavioural Brain Research. 301. 213–225. 24 indexed citations

18.

Su, Ping, Shupeng Li, Sheng Chen, et al.. (2014). A Dopamine D2 Receptor-DISC1 Protein Complex may Contribute to Antipsychotic-Like Effects. Neuron. 84(6). 1302–1316. 79 indexed citations

19.

Lu, Frances, Ping Su, Fang Liu, & Zafiris J. Daskalakis. (2012). Activation of GABAB receptors inhibits protein kinase B /Glycogen Synthase Kinase 3 signaling. Molecular Brain. 5(1). 41–41. 23 indexed citations

20.

Zhang, Ying, Ping Su, Ping Liang, et al.. (2010). The DREAM Protein Negatively Regulates the NMDA Receptor through Interaction with the NR1 Subunit. Journal of Neuroscience. 30(22). 7575–7586. 65 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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