Biao Cheng

25 total papers · 710 total citations
19 papers, 597 citations indexed

About

Biao Cheng is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Biao Cheng has authored 19 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Biao Cheng's work include Alzheimer's disease research and treatments (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Pain Mechanisms and Treatments (3 papers). Biao Cheng is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Pain Mechanisms and Treatments (3 papers). Biao Cheng collaborates with scholars based in China and United States. Biao Cheng's co-authors include Kun Huang, Ling Zheng, Hao Gong, Robert B. Petersen, Hongwen Xiao, Xin Zhang, Yue Sun, Zihao He, Anlin Peng and Hong Chen and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Biao Cheng

19 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Biao Cheng 328 270 78 75 68 19 597
David Bode 314 1.0× 317 1.2× 52 0.7× 40 0.5× 56 0.8× 23 691
Ana Catarina R. G. Fonseca 264 0.8× 276 1.0× 67 0.9× 24 0.3× 120 1.8× 12 659
Adriana Kubis-Kubiak 181 0.6× 209 0.8× 57 0.7× 21 0.3× 40 0.6× 16 571
Mi-Hee Ko 325 1.0× 253 0.9× 60 0.8× 31 0.4× 63 0.9× 14 636
Yung-Feng Liao 304 0.9× 276 1.0× 77 1.0× 26 0.3× 31 0.5× 20 669
Jingwei Xie 249 0.8× 289 1.1× 104 1.3× 26 0.3× 20 0.3× 17 612
Jingkao Chen 106 0.3× 287 1.1× 78 1.0× 32 0.4× 28 0.4× 22 639
Chi Won Song 165 0.5× 200 0.7× 72 0.9× 25 0.3× 36 0.5× 16 609
Xueting Du 287 0.9× 164 0.6× 110 1.4× 51 0.7× 9 0.1× 15 530
Daniela Pantano 133 0.4× 193 0.7× 46 0.6× 13 0.2× 77 1.1× 11 612

Countries citing papers authored by Biao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Biao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Cheng

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