Xunming Ji

94 total papers · 1.8k total citations
55 papers, 865 citations indexed

About

Xunming Ji is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Xunming Ji has authored 55 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 17 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Xunming Ji's work include Acute Ischemic Stroke Management (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (6 papers). Xunming Ji is often cited by papers focused on Acute Ischemic Stroke Management (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (6 papers). Xunming Ji collaborates with scholars based in China, United States and Vietnam. Xunming Ji's co-authors include Feng Yan, Ming Li, Yufeng Zheng, Chang­hong Ren, Sijie Li, Pan Xiong, Yan Cheng, Ang Li, Qianwang Chen and Huafang Li and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Xunming Ji

45 papers receiving 845 citations

Author Peers

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

Author Last Decade Papers Cites
Xunming Ji 272 190 153 117 97 55 865
Ramón Iglesias‐Rey 253 0.9× 134 0.7× 219 1.4× 291 2.5× 140 1.4× 68 984
Qi Han 312 1.1× 131 0.7× 92 0.6× 80 0.7× 55 0.6× 56 934
Yiyang Li 375 1.4× 150 0.8× 127 0.8× 95 0.8× 56 0.6× 47 977
Enquan Xu 278 1.0× 76 0.4× 149 1.0× 76 0.6× 124 1.3× 24 842
Qing Cai 282 1.0× 90 0.5× 76 0.5× 101 0.9× 81 0.8× 52 792
Dengli Wang 196 0.7× 55 0.3× 168 1.1× 88 0.8× 104 1.1× 36 722
Kamel Kacem 233 0.9× 139 0.7× 181 1.2× 30 0.3× 67 0.7× 33 893
Ao Xiong 267 1.0× 178 0.9× 87 0.6× 53 0.5× 154 1.6× 56 902
Colin M. Wilson 250 0.9× 168 0.9× 76 0.5× 125 1.1× 158 1.6× 27 833
Jinsha Huang 428 1.6× 93 0.5× 175 1.1× 192 1.6× 254 2.6× 33 1.0k

Countries citing papers authored by Xunming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xunming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xunming Ji

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