Yao Shi

23 total papers · 600 total citations
15 papers, 472 citations indexed

About

Yao Shi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yao Shi has authored 15 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Yao Shi's work include Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (3 papers) and Insect-Plant Interactions and Control (2 papers). Yao Shi is often cited by papers focused on Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (3 papers) and Insect-Plant Interactions and Control (2 papers). Yao Shi collaborates with scholars based in China, Sweden and Poland. Yao Shi's co-authors include Alexander Kel, Fedor Nikulenkov, Galina Selivanova, Guanjun Tu, Joanna Zawacka‐Pankau, Chen Lv, Jianqiang Xu, Haitao Li, Sofi Eriksson and Elias S.J. Arnér and has published in prestigious journals such as Cancer Cell, Journal of Agricultural and Food Chemistry and Cell Death and Differentiation.

In The Last Decade

Yao Shi

15 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Yao Shi 307 127 126 47 41 15 472
R. E. Neuman 221 0.7× 69 0.5× 71 0.6× 38 0.8× 24 0.6× 26 508
Ju-Hwa Kim 295 1.0× 239 1.9× 52 0.4× 32 0.7× 11 0.3× 14 446
Kevin J Barnum 303 1.0× 119 0.9× 51 0.4× 25 0.5× 25 0.6× 11 473
Margit Dlaska 231 0.8× 84 0.7× 55 0.4× 45 1.0× 69 1.7× 16 544
Takayuki Hanamoto 314 1.0× 163 1.3× 58 0.5× 49 1.0× 12 0.3× 23 505
Marie-Pierre Montero 218 0.7× 135 1.1× 78 0.6× 20 0.4× 13 0.3× 12 465
Pyung Keun Myung 330 1.1× 92 0.7× 69 0.5× 45 1.0× 26 0.6× 26 538
Ailin Lu 182 0.6× 76 0.6× 81 0.6× 50 1.1× 20 0.5× 20 424
Qiong Zhou 200 0.7× 200 1.6× 118 0.9× 30 0.6× 13 0.3× 29 495
Franciele Kipper 211 0.7× 89 0.7× 76 0.6× 61 1.3× 34 0.8× 20 433

Countries citing papers authored by Yao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Shi

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