Chao Gan

35 total papers · 571 total citations
26 papers, 405 citations indexed

About

Chao Gan is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Chao Gan has authored 26 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Neurology and 6 papers in Neurology. Recurrent topics in Chao Gan's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). Chao Gan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). Chao Gan collaborates with scholars based in China and Germany. Chao Gan's co-authors include Ting Lei, Huaqiu Zhang, Kai Shu, Xiaobing Long, Jiwen Wang, Liang Li, Xiaopeng Ma, Hehe Liu, Shenqiang Hu and Lili Jiang and has published in prestigious journals such as Journal of neurosurgery, Journal of the American Geriatrics Society and Frontiers in Immunology.

In The Last Decade

Chao Gan

26 papers receiving 403 citations

Author Peers

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

Author						Papers	Cites
Chao Gan	141	68	68	61	53	26	405
Manabu Nagata	123 0.9×	37 0.5×	63 0.9×	46 0.8×	78 1.5×	31	395
Yanbin Li	139 1.0×	39 0.6×	72 1.1×	34 0.6×	73 1.4×	28	426
Ping Fan	144 1.0×	50 0.7×	46 0.7×	26 0.4×	54 1.0×	30	450
Cristina Politi	142 1.0×	77 1.1×	44 0.6×	44 0.7×	44 0.8×	37	434
Lianting Ma	121 0.9×	66 1.0×	134 2.0×	45 0.7×	24 0.5×	29	385
Caroline Dubroca	169 1.2×	63 0.9×	70 1.0×	40 0.7×	25 0.5×	12	436
Rongwei Zhang	127 0.9×	57 0.8×	37 0.5×	24 0.4×	89 1.7×	28	427
Alexandru Tatomir	130 0.9×	38 0.6×	38 0.6×	55 0.9×	161 3.0×	29	437
Adrian Bălașa	156 1.1×	82 1.2×	93 1.4×	39 0.6×	39 0.7×	41	414
Elena Muiño	158 1.1×	57 0.8×	87 1.3×	58 1.0×	42 0.8×	26	384

Countries citing papers authored by Chao Gan

Since Specialization

Citations

This map shows the geographic impact of Chao 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 Chao Gan 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 more than expected).

Fields of papers citing papers by Chao Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Gan

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