Jing‐Yu Chang

1.7k total citations
51 papers, 1.3k citations indexed

About

Jing‐Yu Chang is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Jing‐Yu Chang has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 18 papers in Neurology and 14 papers in Cognitive Neuroscience. Recurrent topics in Jing‐Yu Chang's work include Neuroscience and Neuropharmacology Research (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Neurological disorders and treatments (15 papers). Jing‐Yu Chang is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Neurological disorders and treatments (15 papers). Jing‐Yu Chang collaborates with scholars based in United States, China and Sweden. Jing‐Yu Chang's co-authors include Donald J. Woodward, Fei Luo, Patricia H. Janak, Lihong Shi, Jin‐Yan Wang, D.J. Woodward, Christer Owman, Ji‐Sheng Han, Wangming Zhang and Lingli Zhang and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Jing‐Yu Chang

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Yu Chang United States 24 882 470 436 273 246 51 1.3k
Richard Mayeux United States 16 386 0.4× 386 0.8× 609 1.4× 155 0.6× 202 0.8× 23 1.2k
J. M. Henderson Australia 25 1.1k 1.2× 347 0.7× 1.5k 3.5× 259 0.9× 186 0.8× 45 2.2k
Daniel M. Togasaki United States 18 742 0.8× 121 0.3× 795 1.8× 265 1.0× 149 0.6× 25 1.3k
Margarita L. Rodrigo‐Angulo Spain 17 585 0.7× 844 1.8× 286 0.7× 160 0.6× 122 0.5× 26 1.3k
L. Rouquier France 15 872 1.0× 332 0.7× 545 1.3× 433 1.6× 130 0.5× 18 1.6k
Ian D. Hentall United States 19 961 1.1× 431 0.9× 181 0.4× 284 1.0× 1.0k 4.3× 54 1.7k
Russell T. Richardson United States 17 801 0.9× 870 1.9× 487 1.1× 239 0.9× 385 1.6× 22 1.7k
Gavin L. Woodhall United Kingdom 25 1.2k 1.4× 834 1.8× 302 0.7× 390 1.4× 130 0.5× 50 1.8k
Susan J. Mitchell United States 14 715 0.8× 670 1.4× 350 0.8× 169 0.6× 79 0.3× 19 1.2k
C Pacitti Italy 20 1.1k 1.3× 844 1.8× 232 0.5× 394 1.4× 85 0.3× 42 1.6k

Countries citing papers authored by Jing‐Yu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Yu Chang. 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 Jing‐Yu Chang. The network helps show where Jing‐Yu Chang may publish in the future.

Co-authorship network of co-authors of Jing‐Yu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Yu Chang. A scholar is included among the top collaborators of Jing‐Yu Chang 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 Jing‐Yu Chang. Jing‐Yu Chang 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.
2.
Chang, Jing‐Yu, Yuanzhi Wang, Dong Xia, et al.. (2024). Influence of Multiple Repair Welding on Microstructure and Properties of 06Cr19Ni10 Stainless Steel. Chinese Journal of Mechanical Engineering. 37(1). 1 indexed citations
3.
Shi, Xinshuai, et al.. (2022). Investigation of the Effectiveness of a New Backfilling Method: “Multi-Arch Pier-Column”. Energies. 15(16). 5845–5845. 1 indexed citations
4.
Li, Min, Huan Chen, Jing‐Yu Chang, et al.. (2015). Low-frequency stimulation of the pedunculopontine nucleus affects gait and the neurotransmitter level in the ventrolateral thalamic nucleus in 6-OHDA Parkinsonian rats. Neuroscience Letters. 600. 62–68. 15 indexed citations
5.
Zhang, Wangming, Jing‐Yu Chang, Jun Wang, et al.. (2014). Gait analysis in three different 6-hydroxydopamine rat models of Parkinson's disease. Neuroscience Letters. 584. 184–189. 49 indexed citations
6.
Werner, Nicole E., et al.. (2011). What Makes Us Resilient to Interruptions? Understanding the Role of Individual Differences in Resumption. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 55(1). 296–300. 15 indexed citations
7.
Chang, Jing‐Yu, Lihong Shi, Fei Luo, Wangming Zhang, & Donald J. Woodward. (2007). Studies of the neural mechanisms of deep brain stimulation in rodent models of Parkinson's disease. Neuroscience & Biobehavioral Reviews. 32(3). 352–366. 39 indexed citations
8.
Wang, Jin‐Yan, Jing‐Yu Chang, Donald J. Woodward, et al.. (2007). Corticofugal influences on thalamic neurons during nociceptive transmission in awake rats. Synapse. 61(5). 335–342. 25 indexed citations
9.
Shi, Lihong, Fei Luo, Donald J. Woodward, & Jing‐Yu Chang. (2006). Deep brain stimulation of the substantia nigra pars reticulata exerts long lasting suppression of amygdala-kindled seizures. Brain Research. 1090(1). 202–207. 32 indexed citations
10.
Shi, Lihong, Fei Luo, Donald J. Woodward, & Jing‐Yu Chang. (2006). Basal ganglia neural responses during behaviorally effective deep brain stimulation of the subthalamic nucleus in rats performing a treadmill locomotion test. Synapse. 59(7). 445–457. 90 indexed citations
11.
Chang, Jing‐Yu, Lihong Shi, Fei Luo, & Donald J. Woodward. (2005). Neural responses in multiple basal ganglia regions following unilateral dopamine depletion in behaving rats performing a treadmill locomotion task. Experimental Brain Research. 172(2). 193–207. 28 indexed citations
12.
Chang, Jing‐Yu. (2004). Brain Stimulation for Neurological and Psychiatric Disorders, Current Status and Future Direction. Journal of Pharmacology and Experimental Therapeutics. 309(1). 1–7. 29 indexed citations
13.
14.
Woodward, Donald J., et al.. (1999). Mesolimbic Neuronal Activity across Behavioral States. Annals of the New York Academy of Sciences. 877(1). 91–112. 40 indexed citations
15.
Janak, Patricia H., Jing‐Yu Chang, & Donald J. Woodward. (1999). Neuronal spike activity in the nucleus accumbens of behaving rats during ethanol self-administration. Brain Research. 817(1-2). 172–184. 52 indexed citations
16.
Chang, Jing‐Yu, et al.. (1997). Single neuronal responses in medial prefrontal cortex during cocaine self-administration in freely moving rats. Synapse. 26(1). 22–35. 29 indexed citations
17.
18.
Mecklenburg, Claes von, et al.. (1990). Ultrastructural cerebrovascular changes in a model of subarachnoid hemorrhage in baboon based on triple cisternal blood injection. Surgical Neurology. 33(3). 195–201. 9 indexed citations
19.
Chang, Jing‐Yu, Christer Owman, & Harry W.M. Steinbusch. (1988). Evidence for coexistence of serotonin and noredrenaline in sympathetic nerves supplying brain vessels of guinea pig. Brain Research. 438(1-2). 237–246. 29 indexed citations
20.
Chang, Jing‐Yu & Christer Owman. (1987). Involvement of specific receptors and calcium mechanisms in serotonergic contractile response of isolated cerebral and peripheral arteries from rats.. Journal of Pharmacology and Experimental Therapeutics. 242(2). 629–636. 16 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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