Gang Sun

65 total papers · 1.5k total citations
45 papers, 1.2k citations indexed

About

Gang Sun is a scholar working on Cognitive Neuroscience, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Gang Sun has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 9 papers in Molecular Biology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Gang Sun's work include Functional Brain Connectivity Studies (6 papers), Face Recognition and Perception (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Gang Sun is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Face Recognition and Perception (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Gang Sun collaborates with scholars based in China, United States and Israel. Gang Sun's co-authors include Paul W. Geno, Ruthann A. Rudel, Julia Green Brody, Steven J. Melly, Xunwei Liu, Dannong He, Lun Zhao, Jian Zhong, Ping Wang and Juan Yan and has published in prestigious journals such as Environmental Science & Technology, ACS Nano and PLoS ONE.

In The Last Decade

Gang Sun

43 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gang Sun 339 304 184 180 159 45 1.2k
Yinchuan Jin 130 0.4× 314 1.0× 280 1.5× 97 0.5× 123 0.8× 45 1.4k
Xifeng Wang 114 0.3× 396 1.3× 244 1.3× 138 0.8× 103 0.6× 50 1.3k
Ülkü Çömelekoğlu 254 0.7× 243 0.8× 77 0.4× 72 0.4× 70 0.4× 101 1.5k
Olwenn Martin 648 1.9× 105 0.3× 520 2.8× 87 0.5× 60 0.4× 41 1.5k
Lihong Wang 435 1.3× 220 0.7× 352 1.9× 59 0.3× 33 0.2× 38 1.4k
Yang Li 124 0.4× 201 0.7× 39 0.2× 129 0.7× 200 1.3× 16 926
Yan Feng 640 1.9× 231 0.8× 540 2.9× 34 0.2× 167 1.1× 54 1.4k
Yaodan Zhang 51 0.2× 206 0.7× 119 0.6× 221 1.2× 86 0.5× 77 1.2k
Xueping Liu 108 0.3× 220 0.7× 75 0.4× 48 0.3× 87 0.5× 65 999
Tan Li 56 0.2× 224 0.7× 76 0.4× 97 0.5× 240 1.5× 36 1.3k

Countries citing papers authored by Gang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Gang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Sun

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

All Works

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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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