Chaolin Ma

706 total citations
42 papers, 519 citations indexed

About

Chaolin Ma is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Chaolin Ma has authored 42 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Chaolin Ma's work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (9 papers) and Neural dynamics and brain function (7 papers). Chaolin Ma is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (9 papers) and Neural dynamics and brain function (7 papers). Chaolin Ma collaborates with scholars based in China, United States and Germany. Chaolin Ma's co-authors include Bao‐Ming Li, Baoming Li, Amy F.T. Arnsten, Jiping He, Xue-Lian Qi, Jiyun Peng, Fei Luo, Jie Luo, Youjun Yang and Haili Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Proceedings of the IEEE and Biological Psychiatry.

In The Last Decade

Chaolin Ma

38 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaolin Ma China 11 192 148 108 99 64 42 519
Maral Tajerian United States 20 114 0.6× 211 1.4× 129 1.2× 174 1.8× 80 1.3× 29 1.1k
Gloria Umberger United States 6 216 1.1× 108 0.7× 54 0.5× 116 1.2× 25 0.4× 8 705
Daniel J. van Wamelen Netherlands 21 153 0.8× 287 1.9× 94 0.9× 174 1.8× 39 0.6× 52 1.1k
Carla de Oliveira Brazil 16 103 0.5× 137 0.9× 73 0.7× 41 0.4× 68 1.1× 46 646
Joseph R. Phillips Australia 11 260 1.4× 117 0.8× 167 1.5× 90 0.9× 16 0.3× 23 809
A Braun United States 19 152 0.8× 261 1.8× 45 0.4× 100 1.0× 173 2.7× 28 816
John I. Broussard United States 12 232 1.2× 258 1.7× 38 0.4× 145 1.5× 30 0.5× 17 523
Alfonso A. Valverde‐Navarro Spain 11 116 0.6× 116 0.8× 54 0.5× 43 0.4× 53 0.8× 47 564
Anabel Jiménez‐Anguiano Mexico 14 183 1.0× 103 0.7× 66 0.6× 97 1.0× 119 1.9× 35 581
Satoko Oda Japan 16 188 1.0× 290 2.0× 23 0.2× 220 2.2× 39 0.6× 31 648

Countries citing papers authored by Chaolin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chaolin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaolin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaolin Ma. A scholar is included among the top collaborators of Chaolin Ma 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 Chaolin Ma. Chaolin Ma 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.
Xiong, Rui, et al.. (2025). Peripheral CD4 + T cells mediate the destructive effects of maternal separation on prefrontal myelination and cognitive functions. Proceedings of the National Academy of Sciences. 122(16). e2412995122–e2412995122.
2.
Wang, Shunqi, et al.. (2025). Balancing Microglial Density and Activation in Central Nervous System Development and Disease. Current Issues in Molecular Biology. 47(5). 344–344. 4 indexed citations
3.
Chen, Jinmiao, et al.. (2024). A large-area less-wires stretchable robot electronic skin. Sensors and Actuators A Physical. 376. 115618–115618. 5 indexed citations
4.
Wang, Xin, Jiawen Li, Shanglin Zhou, et al.. (2024). Stable sequential dynamics in prefrontal cortex represents subjective estimation of time. eLife. 13.
5.
Wang, Xiaona, Min Kyung Song, Yanyun Sun, et al.. (2024). Chronic but not acute nicotine treatment ameliorates acute inflammation‐induced working memory impairment by increasing CRTC1 and HCN2 in adult male mice. CNS Neuroscience & Therapeutics. 30(2). e14627–e14627. 4 indexed citations
6.
Gong, Zijun, Rui Zan, Wei Wang, et al.. (2022). Research on the degradation behaviors of biomedical Mg-2 wt.% Zn alloy under a biliary environment in vitro and in vivo. Journal of Magnesium and Alloys. 13(3). 1066–1077. 7 indexed citations
8.
Ma, Chaolin, et al.. (2022). Prefrontal Dopaminergic Regulation of Cue-Guided Risky Decision-Making Performance in Rats. Frontiers in Behavioral Neuroscience. 16. 934834–934834. 4 indexed citations
9.
Yu, Jianbo, Yongqiang Wu, Xinsheng Lai, et al.. (2021). The Candidate Schizophrenia Risk Gene Tmem108 Regulates Glucose Metabolism Homeostasis. Frontiers in Endocrinology. 12. 770145–770145. 8 indexed citations
10.
Zheng, Jian, et al.. (2019). Voluntary wheel running promotes myelination in the motor cortex through Wnt signaling in mice. Molecular Brain. 12(1). 85–85. 31 indexed citations
11.
Zhou, Yu, et al.. (2018). Polygala japonica Houtt. reverses depression-like behavior and restores reduced hippocampal neurogenesis in chronic stress mice. Biomedicine & Pharmacotherapy. 99. 986–996. 15 indexed citations
12.
Ma, Chaolin, et al.. (2017). Neurons in Primary Motor Cortex Encode Hand Orientation in a Reach-to-Grasp Task. Neuroscience Bulletin. 33(4). 383–395. 5 indexed citations
13.
Yang, Youjun, Hua Tang, Fei Luo, et al.. (2016). Neonatal Maternal Separation Impairs Prefrontal Cortical Myelination and Cognitive Functions in Rats Through Activation of Wnt Signaling. Cerebral Cortex. 27(5). bhw121–bhw121. 96 indexed citations
14.
Ma, Chaolin, et al.. (2015). Prefrontal cortical α2A-adrenoceptors and a possible primate model of attention deficit and hyperactivity disorder. Neuroscience Bulletin. 31(2). 227–234. 3 indexed citations
15.
Ma, Chaolin & Jiping He. (2010). A method for investigating cortical control of stand and squat in conscious behavioral monkeys. Journal of Neuroscience Methods. 192(1). 1–6. 5 indexed citations
16.
Zhang, Hang, Chaolin Ma, & Jiping He. (2010). Predicting lower limb muscular activity during standing and squatting using spikes of primary motor cortical neurons in monkeys. PubMed. 7. 4124–4127. 6 indexed citations
17.
Ma, Chaolin, et al.. (2010). A neural repair treatment with gait training improves motor function recovery after spinal cord injury. PubMed. 63. 5553–5556. 3 indexed citations
18.
Ma, Chaolin & Jiping He. (2006). A Novel Experimental System for Investigation of Cortical Activities Related to Lower Limb Movements. PubMed. 261. 2679–2682. 2 indexed citations
19.
Ma, Chaolin, Amy F.T. Arnsten, & Baoming Li. (2005). Locomotor hyperactivity induced by blockade of prefrontal cortical α2-adrenoceptors in monkeys. Biological Psychiatry. 57(2). 192–195. 83 indexed citations
20.
Ma, Chaolin, Xue-Lian Qi, Jiyun Peng, & Bao‐Ming Li. (2003). Selective deficit in no-go performance induced by blockade of prefrontal cortical α2-adrenoceptors in monkeys. Neuroreport. 14(7). 1013–1016. 58 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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