Xinli Shi

66 total papers · 971 total citations
49 papers, 736 citations indexed

About

Xinli Shi is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Xinli Shi has authored 49 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Immunology and 16 papers in Cell Biology. Recurrent topics in Xinli Shi's work include Hippo pathway signaling and YAP/TAZ (14 papers), Autophagy in Disease and Therapy (10 papers) and Ubiquitin and proteasome pathways (7 papers). Xinli Shi is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (14 papers), Autophagy in Disease and Therapy (10 papers) and Ubiquitin and proteasome pathways (7 papers). Xinli Shi collaborates with scholars based in China, Australia and Hong Kong. Xinli Shi's co-authors include Li Wang, Liyuan Hao, Qing Peng, Jianchun Li, Jingmin Ji, Shenghao Li, Shenghao Li, Zhiqin Zhang, Nan Mao and Yajing Sun and has published in prestigious journals such as The FASEB Journal, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Xinli Shi

46 papers receiving 732 citations

Author Peers

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

Author Last Decade Papers Cites
Xinli Shi 380 157 147 136 101 49 736
Bo Ram Kim 435 1.1× 90 0.6× 120 0.8× 132 1.0× 64 0.6× 47 832
Feng Ren 379 1.0× 140 0.9× 197 1.3× 104 0.8× 46 0.5× 42 902
Jae Kwang Kim 344 0.9× 100 0.6× 166 1.1× 179 1.3× 49 0.5× 44 848
Zhi Zhou 362 1.0× 131 0.8× 253 1.7× 167 1.2× 81 0.8× 70 863
Ki Cheong Park 356 0.9× 93 0.6× 113 0.8× 187 1.4× 69 0.7× 36 660
Jia Zhou 314 0.8× 185 1.2× 130 0.9× 86 0.6× 43 0.4× 59 908
Qiaoling Song 260 0.7× 153 1.0× 205 1.4× 129 0.9× 50 0.5× 30 686
Tianliang Li 579 1.5× 265 1.7× 158 1.1× 101 0.7× 103 1.0× 40 858
Fumihiro Ichida 287 0.8× 141 0.9× 316 2.1× 88 0.6× 58 0.6× 71 874
Zahra Mojtahedi 369 1.0× 227 1.4× 134 0.9× 202 1.5× 35 0.3× 71 853

Countries citing papers authored by Xinli Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xinli Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinli Shi

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