Chaoqi Mu

564 total citations
10 papers, 316 citations indexed

About

Chaoqi Mu is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chaoqi Mu has authored 10 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chaoqi Mu's work include Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neural dynamics and brain function (3 papers). Chaoqi Mu is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neural dynamics and brain function (3 papers). Chaoqi Mu collaborates with scholars based in United States and China. Chaoqi Mu's co-authors include Brian N. Mathur, Michael G. White, Bradley M. Roberts, Poorna A. Dharmasri, Ashley Carter, Hongkui Zeng, David A. Seminowicz, Alexandros Poulopoulos, Samuel R. Krimmel and Ziad Nahas and has published in prestigious journals such as Neurology, Biological Psychiatry and Neuropsychopharmacology.

In The Last Decade

Chaoqi Mu

10 papers receiving 313 citations

Peers

Chaoqi Mu
Comparison fields: 5 of 55
  • Cognitive Neuroscience 196
  • Cellular and Molecular Neuroscience 155
  • Molecular Biology 61
  • Neurology 49
  • Neurology 36
Replace Isis Gil‐Miravet with:
Isis Gil‐Miravet Spain
Clare Timbie United States
Hanfei Deng China
Mohamady El-Gaby United Kingdom
Martin Guthrie France
Mary Kate P. Joyce United States
Dolores Vázquez-Sanromán United States
Daniel Z. Wetmore United States
David L. Haggerty United States
Kazuyuki Fujihara Japan
Isis Gil‐Miravet Spain View profile →
Citations per field, relative to Chaoqi Mu
Chaoqi Mu · 1×
Citations per year, relative to Chaoqi Mu
Chaoqi Mu · 1×

Countries citing papers authored by Chaoqi Mu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoqi Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoqi Mu

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 3
3 4
4 44
5 25
6 3
7 31
8 116
9 37
10 52

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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2026