Shuoqiu Gan

40 total papers · 621 total citations
23 papers, 421 citations indexed

About

Shuoqiu Gan is a scholar working on Epidemiology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Shuoqiu Gan has authored 23 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Neurology and 11 papers in Cognitive Neuroscience. Recurrent topics in Shuoqiu Gan's work include Traumatic Brain Injury Research (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Functional Brain Connectivity Studies (8 papers). Shuoqiu Gan is often cited by papers focused on Traumatic Brain Injury Research (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Functional Brain Connectivity Studies (8 papers). Shuoqiu Gan collaborates with scholars based in China, United States and Belgium. Shuoqiu Gan's co-authors include Lijun Bai, Shan Wang, Bo Yin, Guanghui Bai, Xuan Niu, Yingxiang Sun, Chuanzhu Sun, Zhuonan Wang, Xiaoyan Jia and Xuefei Yang and has published in prestigious journals such as Scientific Reports, Brain Research and The British Journal of Psychiatry.

In The Last Decade

Shuoqiu Gan

23 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Shuoqiu Gan	216	192	138	108	63	23	421
Xuan Niu	156 0.7×	164 0.9×	123 0.9×	101 0.9×	71 1.1×	28	469
Niall Bourke	285 1.3×	260 1.4×	116 0.8×	96 0.9×	38 0.6×	24	474
Chuanzhu Sun	147 0.7×	146 0.8×	115 0.8×	104 1.0×	74 1.2×	22	385
R.P. Clauss	162 0.8×	180 0.9×	112 0.8×	47 0.4×	109 1.7×	28	486
Sandeepa Sur	115 0.5×	110 0.6×	118 0.9×	185 1.7×	77 1.2×	16	474
Chandler Sours	331 1.5×	195 1.0×	207 1.5×	209 1.9×	27 0.4×	18	491
Abdalla Z. Mohamed	146 0.7×	207 1.1×	66 0.5×	95 0.9×	69 1.1×	39	458
Ana Luiza Zaninotto	201 0.9×	127 0.7×	99 0.7×	53 0.5×	60 1.0×	34	423
Eduardo Europa	146 0.7×	132 0.7×	232 1.7×	69 0.6×	39 0.6×	14	388
David O. Keyser	139 0.6×	90 0.5×	127 0.9×	34 0.3×	57 0.9×	20	470

Countries citing papers authored by Shuoqiu Gan

Since Specialization

Citations

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

Fields of papers citing papers by Shuoqiu Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuoqiu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuoqiu Gan. A scholar is included among the top collaborators of Shuoqiu Gan 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 Shuoqiu Gan. Shuoqiu Gan 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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