Jin‐Chung Chen

4.1k total citations
114 papers, 3.1k citations indexed

About

Jin‐Chung Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Jin‐Chung Chen has authored 114 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cellular and Molecular Neuroscience, 43 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Jin‐Chung Chen's work include Neurotransmitter Receptor Influence on Behavior (38 papers), Receptor Mechanisms and Signaling (28 papers) and Neuroscience and Neuropharmacology Research (28 papers). Jin‐Chung Chen is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (38 papers), Receptor Mechanisms and Signaling (28 papers) and Neuroscience and Neuropharmacology Research (28 papers). Jin‐Chung Chen collaborates with scholars based in Taiwan, United States and China. Jin‐Chung Chen's co-authors include Ya‐Tin Lin, Pei‐Chun Chen, Ladislav Volicer, Mitchell Chesler, Yao‐Chang Chiang, Chu Lan Lao, Janina R. Galler, Jordan B. Fishman, Victor D. Ramírez and Tzu‐Chen Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.

In The Last Decade

Jin‐Chung Chen

112 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Chung Chen Taiwan 31 1.3k 1.0k 530 299 220 114 3.1k
David Pozo Spain 41 1.7k 1.3× 1.4k 1.4× 1.0k 1.9× 216 0.7× 247 1.1× 106 5.6k
Luc Denoroy France 39 1.1k 0.9× 1.8k 1.7× 595 1.1× 398 1.3× 98 0.4× 132 4.1k
Masami Niwa Japan 37 960 0.8× 1.8k 1.7× 760 1.4× 392 1.3× 82 0.4× 147 5.5k
Chul Hoon Kim South Korea 34 1.2k 0.9× 2.2k 2.1× 489 0.9× 433 1.4× 142 0.6× 138 4.8k
Paul McGonigle United States 29 1.7k 1.3× 1.5k 1.4× 372 0.7× 113 0.4× 157 0.7× 59 3.1k
Richard D. Broadwell United States 34 1.6k 1.2× 1.3k 1.2× 801 1.5× 150 0.5× 247 1.1× 54 4.7k
Hye‐Sun Kim South Korea 34 796 0.6× 1.4k 1.3× 1.1k 2.0× 122 0.4× 262 1.2× 106 4.1k
Ewelina Kurtys Netherlands 9 1.0k 0.8× 1.8k 1.7× 854 1.6× 125 0.4× 252 1.1× 13 5.4k
Gavin S. Dawe Singapore 32 1.1k 0.9× 1.1k 1.1× 589 1.1× 308 1.0× 160 0.7× 105 3.5k
Eitan Okun Israel 33 668 0.5× 1.5k 1.5× 1.2k 2.3× 236 0.8× 218 1.0× 79 5.1k

Countries citing papers authored by Jin‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Chung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Chung Chen. A scholar is included among the top collaborators of Jin‐Chung 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 Jin‐Chung Chen. Jin‐Chung 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.
Chen, Ya–Wen, et al.. (2024). Suppression of presynaptic corticostriatal glutamate activity attenuates L-dopa-induced dyskinesia in 6-OHDA-lesioned Parkinson's disease mice. Neurobiology of Disease. 193. 106452–106452. 5 indexed citations
2.
Chen, Jin‐Chung & Alessandra C. Gasior. (2023). After anoplasty for anorectal malformations: Issues continue in adolescence and adulthood. Seminars in Colon and Rectal Surgery. 34(4). 100989–100989. 1 indexed citations
3.
Chen, Jin‐Chung, et al.. (2020). Lack of dopamine D4 receptor participation in mouse hyperdopaminergic locomotor response. Behavioural Brain Research. 396. 112925–112925. 6 indexed citations
4.
Lin, Ya‐Tin, et al.. (2020). Neuropeptide FF receptor 2 inhibits capsaicin-induced CGRP Upregulation in mouse trigeminal ganglion. The Journal of Headache and Pain. 21(1). 87–87. 14 indexed citations
5.
Tsai, Ya-Ting, et al.. (2020). Dopamine D3 receptor and GSK3β signaling mediate deficits in novel object recognition memory within dopamine transporter knockdown mice. Journal of Biomedical Science. 27(1). 16–16. 15 indexed citations
6.
Yu, Lung, et al.. (2018). Dopamine D3 receptor blockade rescues hyper-dopamine activity-induced deficit in novel object recognition memory. Neuropharmacology. 133. 216–223. 16 indexed citations
7.
Lin, Ya‐Tin, et al.. (2017). Activation of NPFFR2 leads to hyperalgesia through the spinal inflammatory mediator CGRP in mice. Experimental Neurology. 291. 62–73. 27 indexed citations
8.
9.
Liu, Hao-Li, Yau‐Yau Wai, Wen‐Shiang Chen, et al.. (2008). Hemorrhage Detection During Focused-Ultrasound Induced Blood-Brain-Barrier Opening by Using Susceptibility-Weighted Magnetic Resonance Imaging. Ultrasound in Medicine & Biology. 34(4). 598–606. 118 indexed citations
10.
Yang, Hong, et al.. (2007). Cardiac tamponade secondary to haemopericardium in a patient on warfarin. Emergency Medicine Journal. 24(9). 679–680. 15 indexed citations
11.
Vaseeharan, Baskaralingam, Yung‐Yang Lin, Christopher Ko, Tzu‐Ting Chiou, & Jin‐Chung Chen. (2006). Molecular cloning and characterisation of a thioester-containing α2-macroglobulin (α2-M) from the haemocytes of mud crab Scylla serrata. Fish & Shellfish Immunology. 22(1-2). 115–130. 45 indexed citations
12.
13.
Chen, Jin‐Chung, et al.. (2003). Endomorphin-1 and -2 induce naloxone-precipitated withdrawal syndromes in rats. Peptides. 24(3). 477–481. 14 indexed citations
14.
Huang, Chuen‐Lin, Hạixia Chen, Nai‐Kuei Huang, et al.. (1999). Modulation of Dopamine Transporter Activity by Nicotinic Acetylcholine Receptors and Membrane Depolarization in Rat Pheochromocytoma PC12 Cells. Journal of Neurochemistry. 72(6). 2437–2444. 17 indexed citations
15.
16.
Chen, Jin‐Chung, et al.. (1998). Reductions in binding and functions of D2 dopamine receptors in the rat ventral striatum during amphetamine sensitization. Life Sciences. 64(5). 343–354. 22 indexed citations
17.
Chen, Jin‐Chung, et al.. (1995). Effect of prenatal malnutrition on release of monoamines from hippocampal slices. Life Sciences. 57(16). 1467–1475. 19 indexed citations
18.
Blatt, Gene J., Jin‐Chung Chen, Douglas L. Rosene, Ladislav Volicer, & Janina R. Galler. (1994). Prenatal protein malnutrition effects on the serotonergic system in the hippocampal formation: An immunocytochemical, ligand binding, and neurochemical study. Brain Research Bulletin. 34(5). 507–518. 54 indexed citations
19.
Chen, Jin‐Chung, John Tonkiss, Janina R. Galler, & Ladislav Volicer. (1992). Prenatal Protein Malnutrition in Rats Enhances Serotonin Release from Hippocampus. Journal of Nutrition. 122(11). 2138–2143. 44 indexed citations
20.
Chen, Jin‐Chung, et al.. (1985). Monoclonal antibody to human cartilage cells. Federation Proceedings. 44(3). 745.

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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