Junshi Wang

2.1k total citations
33 papers, 453 citations indexed

About

Junshi Wang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Junshi Wang has authored 33 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Hardware and Architecture and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Junshi Wang's work include Interconnection Networks and Systems (19 papers), VLSI and Analog Circuit Testing (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Junshi Wang is often cited by papers focused on Interconnection Networks and Systems (19 papers), VLSI and Analog Circuit Testing (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Junshi Wang collaborates with scholars based in China, Sweden and United States. Junshi Wang's co-authors include Ella M. Nikulina, Ronald P. Hammer, Yan Dong, Letian Huang, Sanya Fanous, Masoumeh Ebrahimi, Oliver M. Schlüter, Eric J. Nestler, Susan R. Sesack and Yanhua H. Huang and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Biological Psychiatry.

In The Last Decade

Junshi Wang

30 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junshi Wang China	14	249	85	83	83	78	33	453
Matthew Kennedy United States	6	195 0.8×	85 1.0×	11 0.1×	114 1.4×	38 0.5×	13	302
Yinming Sun Canada	13	139 0.6×	453 5.3×	12 0.1×	29 0.3×	64 0.8×	26	700
Martha N. Havenith Germany	10	223 0.9×	439 5.2×	29 0.3×	47 0.6×	48 0.6×	22	551
Luping Yin United States	14	331 1.3×	322 3.8×	27 0.3×	124 1.5×	49 0.6×	18	681
Kelsey Clark United States	13	213 0.9×	454 5.3×	11 0.1×	74 0.9×	34 0.4×	29	636
Daniel Jercog France	6	150 0.6×	245 2.9×	13 0.2×	44 0.5×	16 0.2×	9	325
Brian F Sadacca United States	11	258 1.0×	483 5.7×	18 0.2×	67 0.8×	26 0.3×	12	635
Collin J. Lobb United States	10	522 2.1×	286 3.4×	8 0.1×	241 2.9×	16 0.2×	14	648
Alexander O. Komendantov United States	11	313 1.3×	304 3.6×	19 0.2×	93 1.1×	32 0.4×	17	454

Countries citing papers authored by Junshi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Junshi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junshi Wang

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

Ye, Mingliang, et al.. (2025). Stem Cell-Derived Extracellular Vesicles for Acute Pancreatitis: a Systematic Review and Meta-analysis of Preclinical Studies. Stem Cell Reviews and Reports. 21(3). 767–778.

Huang, Letian, et al.. (2024). Component Dependencies Based Network-on-Chip Test. IEEE Transactions on Computers. 73(12). 2805–2816. 1 indexed citations

Wang, Junshi, et al.. (2024). The value of thrombus markers applied in patients with respiratory failure. Journal of Medical Biochemistry. 44(1). 31–45.

He, Yi, et al.. (2023). Membrane excitability of nucleus accumbens neurons gates the incubation of cocaine craving. Neuropsychopharmacology. 48(9). 1318–1327. 17 indexed citations

Wang, Junshi, et al.. (2021). Astrocytes in cocaine addiction and beyond. Molecular Psychiatry. 27(1). 652–668. 41 indexed citations

Wang, Junshi, Anna Beroun, Masago Ishikawa, et al.. (2020). Cocaine Triggers Astrocyte-Mediated Synaptogenesis. Biological Psychiatry. 89(4). 386–397. 55 indexed citations

Wang, Junshi, Sun-Hui Xia, Howard B. Gutstein, et al.. (2020). Neuropathic pain generates silent synapses in thalamic projection to anterior cingulate cortex. Pain. 162(5). 1322–1333. 34 indexed citations

Yu, Jun, Masago Ishikawa, Junshi Wang, et al.. (2019). Ventral Tegmental Area Projection Regulates Glutamatergic Transmission in Nucleus Accumbens. Scientific Reports. 9(1). 18451–18451. 14 indexed citations

Huang, Letian, Shuyu Chen, Qiong Wu, et al.. (2018). A lifetime-aware mapping algorithm to extend MTTF of networks-on-chip. Asia and South Pacific Design Automation Conference. 147–152. 6 indexed citations

10.

Wu, Qiong, Shuyu Chen, Junshi Wang, et al.. (2018). Optimizing dynamic mapping techniques for on-line NoC test. Asia and South Pacific Design Automation Conference. 227–232. 3 indexed citations

11.

Wang, Junshi, Masago Ishikawa, Yang Yue, et al.. (2018). Cascades of Homeostatic Dysregulation Promote Incubation of Cocaine Craving. Journal of Neuroscience. 38(18). 4316–4328. 42 indexed citations

12.

Cahill, Michael E., Caleb J. Browne, Junshi Wang, et al.. (2018). Withdrawal from repeated morphine administration augments expression of the RhoA network in the nucleus accumbens to control synaptic structure. Journal of Neurochemistry. 147(1). 84–98. 13 indexed citations

13.

Huang, Letian, Xinxin Lin, Junshi Wang, & Qiang Li. (2017). A low latency fault tolerant transmission mechanism for Network-on-Chip. 46. 1–4. 1 indexed citations

14.

Wang, Junshi, Ryan M. Bastle, Caroline E. Bass, et al.. (2016). Overexpression of BDNF in the ventral tegmental area enhances binge cocaine self-administration in rats exposed to repeated social defeat. Neuropharmacology. 109. 121–130. 13 indexed citations

15.

Wang, Junshi, Letian Huang, Qiang Li, Guangjun Li, & Axel Jantsch. (2016). Optimizing the location of ECC protection in network-on-chip. 1–10. 1 indexed citations

16.

Wang, Junshi, Yang Huang, Masoumeh Ebrahimi, et al.. (2016). VisualNoC. 18–25. 14 indexed citations

17.

Nikulina, Ella M., Chad E. Johnston, Junshi Wang, & Ronald P. Hammer. (2014). Neurotrophins in the ventral tegmental area: Role in social stress, mood disorders and drug abuse. Neuroscience. 282. 122–138. 38 indexed citations

18.

Ebrahimi, Masoumeh, Junshi Wang, Letian Huang, Masoud Daneshtalab, & Axel Jantsch. (2014). Rescuing healthy cores against disabled routers. 98–103. 4 indexed citations

19.

Wang, Junshi, Sanya Fanous, Ernest F. Terwilliger, et al.. (2013). BDNF Overexpression in the Ventral Tegmental Area Prolongs Social Defeat Stress-induced Cross-Sensitization to Amphetamine and Increases ΔFosB Expression in Mesocorticolimbic Regions of Rats. Neuropsychopharmacology. 38(11). 2286–2296. 27 indexed citations

20.

Nikulina, Ella M., Michael J. Lacagnina, Sanya Fanous, Junshi Wang, & Ronald P. Hammer. (2012). Intermittent social defeat stress enhances mesocorticolimbic ΔFosB/BDNF co-expression and persistently activates corticotegmental neurons: Implication for vulnerability to psychostimulants. Neuroscience. 212. 38–48. 47 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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