Chao‐Gan Yan

25.0k total citations · 7 hit papers
112 papers, 14.8k citations indexed

About

Chao‐Gan Yan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Chao‐Gan Yan has authored 112 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Cognitive Neuroscience, 43 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Experimental and Cognitive Psychology. Recurrent topics in Chao‐Gan Yan's work include Functional Brain Connectivity Studies (85 papers), Neural dynamics and brain function (38 papers) and Advanced MRI Techniques and Applications (29 papers). Chao‐Gan Yan is often cited by papers focused on Functional Brain Connectivity Studies (85 papers), Neural dynamics and brain function (38 papers) and Advanced MRI Techniques and Applications (29 papers). Chao‐Gan Yan collaborates with scholars based in China, United States and Canada. Chao‐Gan Yan's co-authors include Yu‐Feng Zang, Xi‐Nian Zuo, Xindi Wang, Yong He, Michael P. Milham, Chaozhe Zhu, R. Cameron Craddock, F. Xavier Castellanos, Xiangyu Long and Jinhui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Chao‐Gan Yan

99 papers receiving 14.6k citations

Hit Papers

DPARSF: a MATLAB toolbox for “pipeline” data analysis of ... 2009 2026 2014 2020 2010 2016 2011 2013 2009 500 1000 1.5k 2.0k 2.5k

Peers

Chao‐Gan Yan
Comparison fields: 5 of 160
  • Cognitive Neuroscience 12.4k
  • Radiology, Nuclear Medicine and Imaging 5.1k
  • Experimental and Cognitive Psychology 3.0k
  • Psychiatry and Mental health 2.2k
  • Neurology 1.0k
Replace Andrew Zalesky with:
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Citations per field, relative to Chao‐Gan Yan
Chao‐Gan Yan · 1×
Citations per year, relative to Chao‐Gan Yan
Chao‐Gan Yan · 1×

Countries citing papers authored by Chao‐Gan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Gan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Gan Yan. 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 Chao‐Gan Yan. The network helps show where Chao‐Gan Yan may publish in the future.

Co-authorship network of co-authors of Chao‐Gan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Gan Yan. A scholar is included among the top collaborators of Chao‐Gan Yan 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 Chao‐Gan Yan. Chao‐Gan Yan 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
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 1
7 1
8 0
9 11
10 3
11 1
12 0
13 45
14 28
15 2
16 35
17 16
18 11
19 43
20 11

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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