Guixing Jin

16 total papers · 425 total citations
8 papers, 194 citations indexed

About

Guixing Jin is a scholar working on Complementary and alternative medicine, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Guixing Jin has authored 8 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Complementary and alternative medicine, 4 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Guixing Jin's work include Acupuncture Treatment Research Studies (4 papers), Vagus Nerve Stimulation Research (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Guixing Jin is often cited by papers focused on Acupuncture Treatment Research Studies (4 papers), Vagus Nerve Stimulation Research (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). Guixing Jin collaborates with scholars based in China, Hong Kong and United States. Guixing Jin's co-authors include Yitao Jia, Bin Gu, Xing Gao, Zhongxin Li, Xueyi Wang, Zhang‐Jin Zhang, Yue Wu, Jun Qiao, Shaoyuan Li and Zongshi Qin and has published in prestigious journals such as The Journal of Nervous and Mental Disease, Frontiers in Psychiatry and Psychiatry and Clinical Neurosciences.

In The Last Decade

Guixing Jin

8 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Guixing Jin 75 58 45 42 36 8 194
Tanvi Khera 50 0.7× 17 0.3× 77 1.7× 25 0.6× 20 0.6× 11 243
Weidong Mi 30 0.4× 58 1.0× 30 0.7× 110 2.6× 9 0.3× 18 266
Xinchun Mei 41 0.5× 24 0.4× 14 0.3× 118 2.8× 13 0.4× 11 274
Goele Bosmans 50 0.7× 126 2.2× 61 1.4× 9 0.2× 10 0.3× 11 269
Juha Rinne 45 0.6× 23 0.4× 12 0.3× 3 0.1× 81 2.3× 7 276
Chengxuan Quan 60 0.8× 27 0.5× 54 1.2× 141 3.4× 4 0.1× 11 271
Su Min 13 0.2× 33 0.6× 19 0.4× 11 0.3× 24 0.7× 15 210
Jacopo Agrimi 61 0.8× 25 0.4× 12 0.3× 6 0.1× 28 0.8× 16 273
Kirusanthy Kaneshwaran 23 0.3× 29 0.5× 16 0.4× 45 1.1× 37 1.0× 10 256
Maria Rosa Calvi 30 0.4× 5 0.1× 27 0.6× 31 0.7× 24 0.7× 13 203

Countries citing papers authored by Guixing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Guixing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guixing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Guixing Jin. A scholar is included among the top collaborators of Guixing Jin 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 Guixing Jin. Guixing Jin 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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2026