Changpeng Wang

811 total citations · 1 hit paper
15 papers, 586 citations indexed

About

Changpeng Wang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Changpeng Wang has authored 15 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Changpeng Wang's work include Alcoholism and Thiamine Deficiency (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurological and metabolic disorders (4 papers). Changpeng Wang is often cited by papers focused on Alcoholism and Thiamine Deficiency (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurological and metabolic disorders (4 papers). Changpeng Wang collaborates with scholars based in China, Germany and Spain. Changpeng Wang's co-authors include Chunjiu Zhong, Lirong Jin, Guoqiang Fei, Xiaoli Pan, Lingyan Wang, Wenbin Wan, Fanlong Ye, Zigao Wang, Xiaoqin Cheng and Jian Wang and has published in prestigious journals such as Journal of Neuroscience, Journal of Alloys and Compounds and Movement Disorders.

In The Last Decade

Changpeng Wang

14 papers receiving 580 citations

Hit Papers

Iron Deposition Leads to Neuronal α-Synuclein Pathology b... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changpeng Wang China 11 250 101 87 82 77 15 586
Woo Sang Jung South Korea 17 172 0.7× 51 0.5× 62 0.7× 93 1.1× 52 0.7× 45 687
Samuel Neff United States 11 105 0.4× 156 1.5× 98 1.1× 142 1.7× 71 0.9× 17 772
Shuyang Yu China 21 542 2.2× 138 1.4× 215 2.5× 66 0.8× 174 2.3× 36 990
Shihao Wu China 19 56 0.2× 66 0.7× 68 0.8× 176 2.1× 204 2.6× 61 821
H.P.J. Buschman Netherlands 16 133 0.5× 113 1.1× 254 2.9× 179 2.2× 104 1.4× 32 952
B.V. Murlimanju India 14 69 0.3× 51 0.5× 97 1.1× 51 0.6× 114 1.5× 82 862
Toshimasa Yamamoto Japan 15 237 0.9× 70 0.7× 96 1.1× 46 0.6× 105 1.4× 83 657
A Fabbrini Italy 16 371 1.5× 122 1.2× 131 1.5× 99 1.2× 112 1.5× 66 792
Ryoichi Hayashi Japan 15 195 0.8× 92 0.9× 102 1.2× 181 2.2× 55 0.7× 51 831
Axel Lipp Germany 19 712 2.8× 300 3.0× 114 1.3× 80 1.0× 64 0.8× 30 1.2k

Countries citing papers authored by Changpeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changpeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changpeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changpeng Wang. A scholar is included among the top collaborators of Changpeng 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 Changpeng Wang. Changpeng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Zhong, Hai‐Jing, Bingyao Wang, Yang Xu, et al.. (2025). Mechanically robust and highly conductive polyacrylamide/carboxymethyl chitosan organohydrogels via synergistic physical interactions for flexible sensing. International Journal of Biological Macromolecules. 327(Pt 2). 147456–147456.
2.
Qian, Ting, Lei Zhao, Xiaoli Pan, et al.. (2022). Association Between Blood Biochemical Factors Contributing to Cognitive Decline and B Vitamins in Patients With Alzheimer's Disease. Frontiers in Nutrition. 9. 823573–823573. 7 indexed citations
3.
Liu, Wenyue, Changpeng Wang, Tingting He, et al.. (2021). Substantia Nigra Integrity Correlates with Sequential Working Memory in Parkinson's Disease. Journal of Neuroscience. 41(29). 6304–6313. 13 indexed citations
4.
Wang, Changpeng, Donglang Jiang, Shaoming Sang, et al.. (2020). A novel PET tracer 18F-deoxy-thiamine: synthesis, metabolic kinetics, and evaluation on cerebral thiamine metabolism status. EJNMMI Research. 10(1). 126–126. 2 indexed citations
5.
Wang, Lijun, Xiaoli Pan, Guoqiang Fei, et al.. (2019). Decreased Function of Delayed Recall in Non-demented Elderly Subjects With Apolipoprotein E ε4 Allele. Frontiers in Aging Neuroscience. 11. 71–71. 2 indexed citations
6.
Jin, Lirong, Jian Wang, Changpeng Wang, et al.. (2019). Combined Visualization of Nigrosome-1 and Neuromelanin in the Substantia Nigra Using 3T MRI for the Differential Diagnosis of Essential Tremor and de novo Parkinson's Disease. Frontiers in Neurology. 10. 100–100. 46 indexed citations
7.
Zhang, Hongming, Jing Wang, Qiang Chen, et al.. (2019). Study of dynamic recrystallization behavior of T2 copper in hot working conditions by experiments and cellular automaton method. Journal of Alloys and Compounds. 784. 1071–1083. 41 indexed citations
8.
Li, Yuanfang, Changpeng Wang, Jian Wang, et al.. (2019). Mild cognitive impairment in de novo Parkinson's disease: A neuromelanin MRI study in locus coeruleus. Movement Disorders. 34(6). 884–892. 54 indexed citations
9.
Sang, Shaoming, Xiaoli Pan, Zhichun Chen, et al.. (2018). Thiamine diphosphate reduction strongly correlates with brain glucose hypometabolism in Alzheimer’s disease, whereas amyloid deposition does not. Alzheimer s Research & Therapy. 10(1). 26–26. 48 indexed citations
10.
Wang, Jian, Yuanfang Li, Fang Ye, et al.. (2018). Neuromelanin-sensitive MRI of the substantia nigra: An imaging biomarker to differentiate essential tremor from tremor-dominant Parkinson's disease. Parkinsonism & Related Disorders. 58. 3–8. 34 indexed citations
11.
Jin, Lirong, Wenbin Wan, Lingyan Wang, et al.. (2018). Elevated microRNA-520d-5p in the serum of patients with Parkinson's disease, possibly through regulation of cereloplasmin expression. Neuroscience Letters. 687. 88–93. 17 indexed citations
12.
Wang, Changpeng, Guoqiang Fei, Xiaoli Pan, et al.. (2018). High thiamine diphosphate level as a protective factor for Alzheimer’s disease. Neurological Research. 40(8). 1–8. 18 indexed citations
13.
Wan, Wenbin, Lirong Jin, Zigao Wang, et al.. (2017). Iron Deposition Leads to Neuronal α-Synuclein Pathology by Inducing Autophagy Dysfunction. Frontiers in Neurology. 8. 272 indexed citations breakdown →
14.
Pan, Xiaoli, Guoqiang Fei, Changpeng Wang, et al.. (2015). Correlat ion of thiamine metabolite levels with cognitive function in the non-demented elderly. Neuroscience Bulletin. 31(6). 676–684. 18 indexed citations
15.
Wang, Changpeng, Fan Yang, Xiaoyan Liu, et al.. (2014). Neurotrophic Signaling Factors in Brain Ischemia/Reperfusion Rats: Differential Modulation Pattern between Single‐Time and Multiple Electroacupuncture Stimulation. Evidence-based Complementary and Alternative Medicine. 2014(1). 625050–625050. 14 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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