Dian-Shi Wang

1.3k total citations
35 papers, 931 citations indexed

About

Dian-Shi Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Dian-Shi Wang has authored 35 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 12 papers in Developmental Neuroscience. Recurrent topics in Dian-Shi Wang's work include Neuroscience and Neuropharmacology Research (20 papers), Anesthesia and Neurotoxicity Research (12 papers) and Ion channel regulation and function (11 papers). Dian-Shi Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Anesthesia and Neurotoxicity Research (12 papers) and Ion channel regulation and function (11 papers). Dian-Shi Wang collaborates with scholars based in Canada, China and United Kingdom. Dian-Shi Wang's co-authors include Beverley A. Orser, Irene Lecker, Jieying Yu, Agnieszka A. Zurek, Paul D. Whissell, C. David Mazer, Sinziana Avramescu, Alexander D. Romaschin, Mark L. Peterson and Antonello Penna and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Dian-Shi Wang

34 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dian-Shi Wang Canada 14 380 243 224 198 136 35 931
Paul D. Whissell Canada 13 359 0.9× 78 0.3× 198 0.9× 78 0.4× 35 0.3× 17 739
Yuan Han China 19 261 0.7× 140 0.6× 225 1.0× 154 0.8× 145 1.1× 55 997
Marco Gruß Germany 12 230 0.6× 184 0.8× 313 1.4× 122 0.6× 68 0.5× 22 731
Xu Wu China 16 189 0.5× 208 0.9× 249 1.1× 147 0.7× 87 0.6× 49 865
Jillian C. Belrose Canada 10 106 0.3× 95 0.4× 192 0.9× 88 0.4× 31 0.2× 16 658
Robert M. Dietz United States 16 245 0.6× 87 0.4× 190 0.8× 58 0.3× 11 0.1× 32 710
C. Laigle France 5 291 0.8× 94 0.4× 367 1.6× 23 0.1× 47 0.3× 8 593
Bingrui Xiong China 16 152 0.4× 68 0.3× 184 0.8× 62 0.3× 49 0.4× 22 642
Pavle M. Joksovic United States 15 510 1.3× 220 0.9× 632 2.8× 151 0.8× 159 1.2× 18 1.2k

Countries citing papers authored by Dian-Shi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dian-Shi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dian-Shi Wang. 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 Dian-Shi Wang. The network helps show where Dian-Shi Wang may publish in the future.

Co-authorship network of co-authors of Dian-Shi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dian-Shi Wang. A scholar is included among the top collaborators of Dian-Shi Wang 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 Dian-Shi Wang. Dian-Shi Wang 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.
Zhang, Ziyi, Dian-Shi Wang, Ashley Untereiner, et al.. (2025). Glycine receptor activation promotes pancreatic islet cell proliferation via the PI3K/mTORC1/p70S6K pathway. JCI Insight. 10(8).
2.
Wang, Dian-Shi, et al.. (2023). Reduced excitatory neurotransmission in the hippocampus after inflammation and sevoflurane anaesthesia. SHILAP Revista de lepidopterología. 6. 100143–100143. 1 indexed citations
3.
Wang, Dian-Shi, Ju Li, Kirusanthy Kaneshwaran, et al.. (2023). Crosstalk between GABAA receptors in astrocytes and neurons triggered by general anesthetic drugs. Translational research. 267. 39–53. 12 indexed citations
4.
Wang, Dian-Shi, et al.. (2023). Cell-surface biotinylation of GABAA receptors in mouse hippocampal slices after sevoflurane anesthesia. STAR Protocols. 4(3). 102450–102450. 3 indexed citations
5.
Kaustov, Lilia, Connor T. A. Brenna, Vikas V. Patel, et al.. (2022). Cognitive deficits after general anaesthesia in animal models: a scoping review. British Journal of Anaesthesia. 130(2). e351–e360. 18 indexed citations
7.
Avramescu, Sinziana, Dian-Shi Wang, Irene Lecker, et al.. (2015). Inflammation Increases Neuronal Sensitivity to General Anesthetics. Anesthesiology. 124(2). 417–427. 28 indexed citations
8.
Whissell, Paul D., et al.. (2013). Acutely increasing δGABAA receptor activity impairs memory and inhibits synaptic plasticity in the hippocampus. Frontiers in Neural Circuits. 7. 146–146. 47 indexed citations
9.
Lecker, Irene, Dian-Shi Wang, Alexander D. Romaschin, et al.. (2012). Tranexamic acid concentrations associated with human seizures inhibit glycine receptors. Journal of Clinical Investigation. 122(12). 4654–4666. 134 indexed citations
10.
Wang, Dian-Shi, Agnieszka A. Zurek, Irene Lecker, et al.. (2012). Memory Deficits Induced by Inflammation Are Regulated by α5-Subunit-Containing GABAA Receptors. Cell Reports. 2(3). 488–496. 148 indexed citations
11.
Wang, Dian-Shi & Beverley A. Orser. (2010). Inhibition of learning and memory by general anesthetics. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 58(2). 167–177. 39 indexed citations
12.
Wang, Dian-Shi, et al.. (2007). Mechanisms for Picrotoxinin and Picrotin Blocks of α2 Homomeric Glycine Receptors. Journal of Biological Chemistry. 282(22). 16016–16035. 18 indexed citations
13.
Wang, Dian-Shi, Jean‐Marie Mangin, Gustave Moonen, Jean‐Michel Rigo, & Pascal Legendre. (2005). Mechanisms for Picrotoxin Block of α2 Homomeric Glycine Receptors. Journal of Biological Chemistry. 281(7). 3841–3855. 40 indexed citations
14.
Wang, Dian-Shi, Hai‐Lei Zhu, & Jishuo Li. (2003). β-ALANINE ACTS ON GLYCINE RECEPTORS IN THE RAT SACRAL DORSAL COMMISSURAL NEURONS. International Journal of Neuroscience. 113(3). 293–305. 12 indexed citations
15.
Wang, Dian-Shi, et al.. (2003). Biphasic action of midazolam on GABAA receptor-mediated responses in rat sacral dorsal commissural neurons. Biochemical and Biophysical Research Communications. 309(4). 893–899. 10 indexed citations
16.
Zhu, Hai‐Lei, Dian-Shi Wang, & Jishuo Li. (2003). [The excitatory role of GABA during the early development of the central nervous system].. PubMed. 34(1). 60–3. 1 indexed citations
17.
Wang, Dian-Shi, et al.. (2002). Cu2+ inhibition of glycine-activated currents in rat sacral dorsal commissural neurons. Neuroscience Letters. 328(2). 117–120. 7 indexed citations
18.
Zhu, Hai‐Lei, Dian-Shi Wang, & Jishuo Li. (2002). Cu<sup>2+</sup> Suppresses GABA<sub>A</sub> Receptor-Mediated Responses in Rat Sacral Dorsal Commissural Neurons. Neurosignals. 11(6). 322–328. 9 indexed citations
19.
Ding, Yu‐Qiang, Dian-Shi Wang, Liang‐Wei Gong, et al.. (1999). The distribution of substance P receptor (NK1)-like immunoreactive neurons in the newborn and adult human spinal cord. Neuroscience Letters. 266(2). 133–136. 9 indexed citations
20.
Wang, Dian-Shi, et al.. (1998). Taurine-activated chloride currents in the rat sacral dorsal commissural neurons. Brain Research. 792(1). 41–47. 35 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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