Kaifeng Shao

17 total papers · 1.2k total citations
14 papers, 807 citations indexed

About

Kaifeng Shao is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Kaifeng Shao has authored 14 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Surgery. Recurrent topics in Kaifeng Shao's work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and 3D Printing in Biomedical Research (3 papers). Kaifeng Shao is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and 3D Printing in Biomedical Research (3 papers). Kaifeng Shao collaborates with scholars based in China, Germany and United States. Kaifeng Shao's co-authors include Sivan G. Marcus, Peter Loskill, Anurag Mathur, Mohammad A. Mandegar, Luke P. Lee, Kevin E. Healy, Nathaniel Huebsch, SoonGweon Hong, Bruce R. Conklin and Tomo Šarić and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nano Letters.

In The Last Decade

Kaifeng Shao

14 papers receiving 799 citations

Hit Papers

Human iPSC-based Cardiac ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kaifeng Shao 432 398 187 152 77 14 807
Vincent C. Chen 782 1.8× 279 0.7× 361 1.9× 87 0.6× 141 1.8× 21 1.0k
Joanne Tonkin 303 0.7× 278 0.7× 198 1.1× 101 0.7× 111 1.4× 15 965
Oscar M. J. A. Stassen 326 0.8× 179 0.4× 91 0.5× 83 0.5× 70 0.9× 22 714
Ljupcho Prodanov 283 0.7× 614 1.5× 181 1.0× 149 1.0× 104 1.4× 15 879
Li Liu 422 1.0× 400 1.0× 269 1.4× 76 0.5× 187 2.4× 31 926
Elena Serena 497 1.2× 625 1.6× 314 1.7× 199 1.3× 172 2.2× 25 1.0k
Haishuang Lin 564 1.3× 257 0.6× 133 0.7× 84 0.6× 68 0.9× 36 915
Anbin Mu 256 0.6× 324 0.8× 325 1.7× 89 0.6× 181 2.4× 16 757
Shiori Katayama 515 1.2× 166 0.4× 312 1.7× 98 0.6× 172 2.2× 14 760
Julie Jadlowiec 586 1.4× 120 0.3× 89 0.5× 202 1.3× 41 0.5× 14 1.0k

Countries citing papers authored by Kaifeng Shao

Since Specialization
Citations

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

Fields of papers citing papers by Kaifeng Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaifeng Shao

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