Ping Liu

3.6k total citations
105 papers, 2.8k citations indexed

About

Ping Liu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Ping Liu has authored 105 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 31 papers in Neurology and 30 papers in Cognitive Neuroscience. Recurrent topics in Ping Liu's work include Neuroscience and Neuropharmacology Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Memory and Neural Mechanisms (19 papers). Ping Liu is often cited by papers focused on Neuroscience and Neuropharmacology Research (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Memory and Neural Mechanisms (19 papers). Ping Liu collaborates with scholars based in New Zealand, China and United States. Ping Liu's co-authors include David K. Bilkey, Paul F. Smith, Cynthia L. Darlington, Siva Ganesh, Hu Zhang, Jing Yu, Jing Yu, Nicola D. Collie, Yiwen Zheng and Hu Zhang and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and Brain Research.

In The Last Decade

Ping Liu

102 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Liu New Zealand 31 1.0k 749 700 427 408 105 2.8k
Valentine Bouët France 26 793 0.8× 442 0.6× 773 1.1× 576 1.3× 851 2.1× 58 3.0k
Axel Becker Germany 35 2.3k 2.3× 680 0.9× 1.3k 1.9× 466 1.1× 241 0.6× 151 4.4k
Tian‐Le Xu China 36 1.9k 1.9× 620 0.8× 2.1k 3.1× 945 2.2× 524 1.3× 169 4.6k
Paul L. Chazot United Kingdom 40 1.6k 1.6× 451 0.6× 2.0k 2.8× 707 1.7× 281 0.7× 158 4.7k
Edward L. Spangler United States 35 1.0k 1.0× 674 0.9× 1.0k 1.4× 1.1k 2.5× 397 1.0× 85 3.4k
Jeffrey M. Long United States 29 1.1k 1.1× 826 1.1× 1.6k 2.3× 1.3k 3.0× 764 1.9× 57 5.0k
Makoto Mizuno Japan 33 1.5k 1.5× 501 0.7× 1.2k 1.8× 634 1.5× 443 1.1× 162 4.5k
Márcio Flávio Dutra Moraes Brazil 27 987 1.0× 661 0.9× 485 0.7× 267 0.6× 161 0.4× 119 2.4k
Peter R. Mouton United States 36 1.4k 1.4× 1.2k 1.6× 1.3k 1.8× 1.1k 2.5× 1.0k 2.5× 100 5.3k
Manuchair Ebadi United States 45 1.7k 1.7× 504 0.7× 1.7k 2.5× 967 2.3× 473 1.2× 191 6.6k

Countries citing papers authored by Ping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Liu. A scholar is included among the top collaborators of Ping Liu 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 Liu. Ping Liu 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.
Liu, Ping, et al.. (2023). Holistic processing and visual characteristics of regulated and spontaneous expressions. Journal of Vision. 23(3). 6–6. 1 indexed citations
2.
Liu, Ping, et al.. (2023). Autoimmunity and Frontotemporal Lobar Degeneration: From Laboratory Study to Clinical Practice. Clinical Interventions in Aging. Volume 18. 495–503. 1 indexed citations
3.
Niu, Fanglin, Yi Yu, Zhuozhuo Li, et al.. (2022). Arginase: An emerging and promising therapeutic target for cancer treatment. Biomedicine & Pharmacotherapy. 149. 112840–112840. 103 indexed citations
4.
Wang, Li, Jingyi Zhang, Gen Li, et al.. (2021). The ADCYAP1R1 Gene Is Correlated With Posttraumatic Stress Disorder Symptoms Through Diverse Epistases in a Traumatized Chinese Population. Frontiers in Psychiatry. 12. 665599–665599. 8 indexed citations
5.
Yu, Jing, et al.. (2020). Altered brain arginine metabolism with age in the APPswe/PSEN1dE9 mouse model of Alzheimer's disease. Neurochemistry International. 140. 104798–104798. 11 indexed citations
6.
Ahmad, Faraz & Ping Liu. (2020). Synaptosome as a tool in Alzheimer’s disease research. Brain Research. 1746. 147009–147009. 20 indexed citations
7.
Pearson, James T., Kate N. Thomas, Hirotsugu Tsuchimochi, et al.. (2020). Dysregulation of ghrelin in diabetes impairs the vascular reparative response to hindlimb ischemia in a mouse model; clinical relevance to peripheral artery disease. Scientific Reports. 10(1). 13651–13651. 8 indexed citations
8.
Zhu, Yuanduo, Chunmei Liang, Yabin Hu, et al.. (2019). Repeated measures of prenatal thallium exposure and placental inflammatory cytokine mRNA expression: The Ma’anshan birth cohort (MABC) study. Chemosphere. 246. 125721–125721. 15 indexed citations
9.
Mazlan, Musalmah, Hamizah Shahirah Hamezah, Jing Yu, et al.. (2017). Effects of Aging and Tocotrienol‐Rich Fraction Supplementation on Brain Arginine Metabolism in Rats. Oxidative Medicine and Cellular Longevity. 2017(1). 6019796–6019796. 12 indexed citations
10.
Zhang, Jiaxian, Jing Yu, Hu Zhang, David K. Bilkey, & Ping Liu. (2017). Effects of maternal immune activation on brain arginine metabolism of postnatal day 2 rat offspring. Schizophrenia Research. 192. 431–441. 12 indexed citations
11.
Hu, Yuan, Ming Liu, Ping Liu, et al.. (2013). Effect of Kai Xin San on Learning and Memory in a Rat Model of Paradoxical Sleep Deprivation. Journal of Medicinal Food. 16(4). 280–287. 18 indexed citations
12.
Smith, Paul F., Siva Ganesh, & Ping Liu. (2013). A comparison of random forest regression and multiple linear regression for prediction in neuroscience. Journal of Neuroscience Methods. 220(1). 85–91. 205 indexed citations
13.
Yu, Jing, et al.. (2012). Participation of hippocampal agmatine in spatial learning: An in vivo microdialysis study. Neuropharmacology. 65. 200–205. 34 indexed citations
14.
Liu, Ping, et al.. (2010). A multivariate analysis of the effects of aging on glutamate, GABA and arginine metabolites in the rat vestibular nucleus. Hearing Research. 269(1-2). 122–133. 26 indexed citations
15.
Liu, Ping, Jing Yu, Cynthia L. Darlington, et al.. (2008). Effects of aging on agmatine levels in memory‐associated brain structures. Hippocampus. 18(9). 853–856. 46 indexed citations
16.
Nerad, Luděk, Ping Liu, & David K. Bilkey. (2008). Bilateral NMDA lesions centered on the postrhinal cortex have minimal effects on hippocampal place cell firing. Hippocampus. 19(3). 221–227. 10 indexed citations
17.
Liu, Ping, Yiwen Zheng, Paul F. Smith, & David K. Bilkey. (2003). Changes in NOS protein expression and activity in the rat hippocampus, entorhinal and postrhinal cortices after unilateral electrolytic perirhinal cortex lesions. Hippocampus. 13(5). 561–571. 9 indexed citations
18.
Zheng, Yiwen, et al.. (2002). NMDA and AMPA receptor subunit protein expression in the rat vestibular nucleus following unilateral labyrinthectomy. Neuroreport. 13(12). 1541–1545. 20 indexed citations
19.
Liu, Ping & David K. Bilkey. (1998). Perirhinal cortex contributions to performance in the Morris Water Maze.. Behavioral Neuroscience. 112(2). 304–315. 70 indexed citations
20.
Liu, Ping & David K. Bilkey. (1997). Current source density analysis of the potential evoked in hippocampus by perirhinal cortex stimulation. Hippocampus. 7(4). 389–396. 28 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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