Yichao Jin

70 total papers · 1.7k total citations
39 papers, 560 citations indexed

About

Yichao Jin is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Yichao Jin has authored 39 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 12 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Yichao Jin's work include Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yichao Jin is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yichao Jin collaborates with scholars based in China, United States and Switzerland. Yichao Jin's co-authors include Jiyao Jiang, Xiaohua Zhang, Junfeng Feng, Guoyi Gao, Jin Lei, Qing Mao, Tao� Lv, Yongming Qiu, Steven G. Potkin and Yingying Lin and has published in prestigious journals such as Angewandte Chemie International Edition, Brain Research and Schizophrenia Bulletin.

In The Last Decade

Yichao Jin

36 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Yichao Jin 210 184 134 79 61 39 560
Padmesh S. Rajput 141 0.7× 154 0.8× 169 1.3× 106 1.3× 49 0.8× 28 627
Chanannait Paisansathan 169 0.8× 169 0.9× 63 0.5× 117 1.5× 23 0.4× 32 574
Shuzhen Zhu 249 1.2× 116 0.6× 98 0.7× 171 2.2× 25 0.4× 34 572
Wusong Tong 177 0.8× 234 1.3× 116 0.9× 81 1.0× 19 0.3× 31 557
Ping Liu 340 1.6× 103 0.6× 92 0.7× 70 0.9× 50 0.8× 26 570
Yuan‐Ting Sun 159 0.8× 117 0.6× 164 1.2× 51 0.6× 27 0.4× 45 558
Daniel J. Beard 225 1.1× 96 0.5× 142 1.1× 108 1.4× 28 0.5× 32 528
Israel Melamed 219 1.0× 142 0.8× 199 1.5× 119 1.5× 29 0.5× 47 681
Luís Ramos 272 1.3× 187 1.0× 215 1.6× 80 1.0× 14 0.2× 45 643
Makoto Nakane 256 1.2× 198 1.1× 108 0.8× 128 1.6× 34 0.6× 39 697

Countries citing papers authored by Yichao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yichao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichao Jin

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