Chong Chen

2.9k total citations · 1 hit paper
20 papers, 2.2k citations indexed

About

Chong Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Chong Chen has authored 20 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Chong Chen's work include Neuroscience and Neuropharmacology Research (9 papers), Cellular transport and secretion (4 papers) and Ion channel regulation and function (4 papers). Chong Chen is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Cellular transport and secretion (4 papers) and Ion channel regulation and function (4 papers). Chong Chen collaborates with scholars based in United States, China and Austria. Chong Chen's co-authors include Susumu Tonegawa, Allan I. Basbaum, Annika B. Malmberg, Asa Abeliovich, Jeansok J. Kim, Jeanne M. Wehner, Richard Paylor, Kouichi Hashimoto, Hideo Kurihara and Yoshiro Inoue and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Chong Chen

20 papers receiving 2.1k citations

Hit Papers

Preserved Acute Pain and Reduced Neuropathic Pain in Mice... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Chen United States 15 1.2k 892 645 473 433 20 2.2k
C. Strazielle France 28 985 0.8× 689 0.8× 626 1.0× 367 0.8× 382 0.9× 99 2.2k
Daniel A. Nicholson United States 28 1.4k 1.2× 693 0.8× 563 0.9× 908 1.9× 525 1.2× 51 2.6k
Jakob von Engelhardt Germany 25 1.5k 1.3× 1.2k 1.4× 311 0.5× 552 1.2× 352 0.8× 45 2.5k
Fusao Kato Japan 26 1.2k 1.0× 523 0.6× 782 1.2× 683 1.4× 264 0.6× 84 2.6k
Luis J. Santín Spain 31 1.0k 0.8× 1.1k 1.2× 330 0.5× 586 1.2× 267 0.6× 109 2.5k
Nan‐Jie Xu China 23 1.2k 1.0× 794 0.9× 351 0.5× 355 0.8× 191 0.4× 63 2.0k
Peter R. Patrylo United States 29 1.4k 1.2× 816 0.9× 695 1.1× 522 1.1× 360 0.8× 60 2.5k
Satoko Hattori Japan 25 793 0.7× 868 1.0× 392 0.6× 418 0.9× 252 0.6× 69 2.1k
Xian‐Min Yu Canada 18 1.5k 1.3× 1.2k 1.4× 722 1.1× 303 0.6× 207 0.5× 30 2.5k
Thomas McMahon United States 31 1.6k 1.3× 1.5k 1.7× 640 1.0× 480 1.0× 188 0.4× 45 3.0k

Countries citing papers authored by Chong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Chen. A scholar is included among the top collaborators of Chong Chen 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 Chong Chen. Chong Chen 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.
Bao, Cuiping, Hongbin Luo, Jiao Wang, et al.. (2025). Poor glymphatic function is associated with mild cognitive impairment and its progression to Alzheimer's disease: A DTI-ALPS study. The Journal of Prevention of Alzheimer s Disease. 12(7). 100156–100156. 3 indexed citations
2.
Chen, Chong, Jesse K. Niehaus, S. Andrew Shuster, et al.. (2024). Neural circuit basis of placebo pain relief. Nature. 632(8027). 1092–1100. 25 indexed citations
3.
Chen, Jingjing, Walter A. Kaufmann, Chong Chen, et al.. (2024). Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. Neuron. 112(5). 755–771.e9. 10 indexed citations
4.
Chen, Chong, et al.. (2023). Graph theory analysis reveals an assortative pain network vulnerable to attacks. Scientific Reports. 13(1). 21985–21985. 4 indexed citations
5.
Li, Shi‐Bin, Valentina Martínez Damonte, Chong Chen, et al.. (2022). Hyperexcitable arousal circuits drive sleep instability during aging. Science. 375(6583). eabh3021–eabh3021. 103 indexed citations
6.
Jia, Xiaoli, Wenwei Shao, Nan Hu, et al.. (2022). Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning. Frontiers in Neuroscience. 16. 854199–854199. 8 indexed citations
7.
Chen, Chong, et al.. (2021). Brain circuits for pain and its treatment. Science Translational Medicine. 13(619). eabj7360–eabj7360. 126 indexed citations
8.
Wang, Yi, Rui Liu, Xiaoli Jia, et al.. (2020). Rutaecarpine Ameliorated High Sucrose-Induced Alzheimer's Disease Like Pathological and Cognitive Impairments in Mice. Rejuvenation Research. 24(3). 181–190. 17 indexed citations
9.
Chen, Chong, et al.. (2018). Governor vessel-unblocking and mind-regulating acupuncture therapy for sensory and motor dysfunction after spinal cord injury. World Journal of Acupuncture - Moxibustion. 28(2). 71–74. 2 indexed citations
10.
Chen, Chong & Péter Jónás. (2017). Synaptotagmins: That’s Why So Many. Neuron. 94(4). 694–696. 18 indexed citations
11.
Chen, Chong, Rachel Satterfield, Samuel Young, & Péter Jónás. (2017). Triple Function of Synaptotagmin 7 Ensures Efficiency of High-Frequency Transmission at Central GABAergic Synapses. Cell Reports. 21(8). 2082–2089. 50 indexed citations
12.
Li, Xiaohong, Chong Chen, Xiping Yang, et al.. (2017). Acupuncture Improved Neurological Recovery after Traumatic Brain Injury by Activating BDNF/TrkB Pathway. Evidence-based Complementary and Alternative Medicine. 2017(1). 8460145–8460145. 27 indexed citations
13.
Chen, Chong, Itaru Arai, Rachel Satterfield, Samuel Young, & Péter Jónás. (2017). Synaptotagmin 2 Is the Fast Ca2+ Sensor at a Central Inhibitory Synapse. Cell Reports. 18(3). 723–736. 55 indexed citations
14.
Wang, Jingjing, Chao Xu, Huajiang Dong, et al.. (2017). Establishment of an ideal time window model in hypothermic-targeted temperature management after traumatic brain injury in rats. Brain Research. 1669. 141–149. 20 indexed citations
16.
Chen, Zhiyu, et al.. (2015). Alleviation of Neuropathic Pain by Regulating T-Type Calcium Channels in Rat Anterior Cingulate Cortex. Molecular Pain. 11. 7–7. 24 indexed citations
17.
Malmberg, Annika B., Chong Chen, Susumu Tonegawa, & Allan I. Basbaum. (1997). Preserved Acute Pain and Reduced Neuropathic Pain in Mice Lacking PKCγ. Science. 278(5336). 279–283. 561 indexed citations breakdown →
18.
Shibuki, Katsuei, Hiroshi Gomi, Lu Chen, et al.. (1996). Deficient Cerebellar Long-Term Depression, Impaired Eyeblink Conditioning, and Normal Motor Coordination in GFAP Mutant Mice. Neuron. 16(3). 587–599. 335 indexed citations
19.
Kano, Masanobu, Kouichi Hashimoto, Chong Chen, et al.. (1995). Impaired synapse elimination during cerebellar development in PKCγ mutant mice. Cell. 83(7). 1223–1231. 338 indexed citations
20.
Abeliovich, Asa, Richard Paylor, Chong Chen, et al.. (1993). PKCγ mutant mice exhibit mild deficits in spatial and contextual learning. Cell. 75(7). 1263–1271. 437 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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