Yingchun Shang

19 total papers · 577 total citations
17 papers, 443 citations indexed

About

Yingchun Shang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yingchun Shang has authored 17 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Yingchun Shang's work include Neuroscience and Neuropharmacology Research (6 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Yingchun Shang is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (4 papers). Yingchun Shang collaborates with scholars based in China. Yingchun Shang's co-authors include Tao Zhang, Xueliang Shang, Hui Zhang, Tao Yin, Jingxuan Fu, Zhi Cheng, Xi Xiao, Xin Wang, Zhuo Yang and Zhipeng Liu and has published in prestigious journals such as Progress in Neurobiology, Experimental Neurology and Neurobiology of Aging.

In The Last Decade

Yingchun Shang

17 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Yingchun Shang 156 118 95 82 71 17 443
Emmanuel Cruz 130 0.8× 124 1.1× 176 1.9× 77 0.9× 110 1.5× 13 447
Xiaoyun Dou 137 0.9× 106 0.9× 52 0.5× 79 1.0× 28 0.4× 19 475
Shan Jiang 132 0.8× 86 0.7× 76 0.8× 118 1.4× 41 0.6× 27 485
Toru Yoshihara 218 1.4× 92 0.8× 125 1.3× 63 0.8× 50 0.7× 23 485
Jinggui Song 116 0.7× 157 1.3× 76 0.8× 58 0.7× 46 0.6× 35 426
Matthew G. Solomon 175 1.1× 76 0.6× 230 2.4× 61 0.7× 44 0.6× 15 432
Yana V. Gorina 135 0.9× 123 1.0× 94 1.0× 92 1.1× 50 0.7× 25 431
Nancy Emmanuel 152 1.0× 60 0.5× 90 0.9× 176 2.1× 42 0.6× 16 467
Qingwei Huo 125 0.8× 116 1.0× 129 1.4× 119 1.5× 41 0.6× 16 371
Francisca Cornejo 151 1.0× 162 1.4× 85 0.9× 157 1.9× 38 0.5× 15 460

Countries citing papers authored by Yingchun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yingchun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchun Shang

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