Chaolin Ma

706 citations
42 papers · 519 · h-index 11

Impact in

Papers in

Chaolin Ma

38 papers receiving 512 citations

Peers

Chaolin Ma
Comparison fields: 5 of 86
  • Biological Psychiatry 50
  • Behavioral Neuroscience 64
  • Developmental Neuroscience 46
  • Cognitive Neuroscience 192
  • Cellular and Molecular Neuroscience 148
Replace Samuel J. Dienel with:
Samuel J. Dienel United States
Maria Kharitonova Russia
Maral Tajerian United States
Yushan Huang Canada
Sara Merlini Italy
Alfonso A. Valverde‐Navarro Spain
A Braun United States
Satoko Oda Japan
Daniel J. van Wamelen Netherlands
Elizabeth A. LaMarca United States
Chaolin Ma relative to Samuel J. Dienel United States Samuel J. Dienel's profile →
Citations per field
00.5×1.6×
Samuel J. Dienel · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Chaolin Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chaolin Ma Line = papers co-authored together Chaolin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 200583
3 200358
4 201931
5 202131
6 202125
7 199418
8 201717
9 202317
10 201815
11 200815
12 20218
13
The α(2A)-adrenoceptor agonist guanfacine improves spatial learning but not fear conditioning in rats.
20078
14 20038
15 20227
16 20237
17 20106
18 20245
19 20105
20 20225

About Chaolin Ma

Chaolin Ma is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Neurology and Behavioral Neuroscience, having authored 42 papers that have together received 519 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (9 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers), Memory and Neural Mechanisms (6 papers), Neural and Behavioral Psychology Studies (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Biological Psychiatry (50 citations), Behavioral Neuroscience (64 citations), Developmental Neuroscience (46 citations), Cognitive Neuroscience (192 citations) and Cellular and Molecular Neuroscience (148 citations). Chaolin Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bao‐Ming Li, Amy F.T. Arnsten, Baoming Li, Jiping He, Xue-Lian Qi, Jiyun Peng, Fei Luo, Jie Luo, Hua Tang and Haili Pan. Their work appears in journals such as Neuroreport, Neuroscience Bulletin, Journal of Integrative Neuroscience, Biological Psychiatry and Sensors and Actuators A Physical.

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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