Shu-di Yang

29 total papers · 1.3k total citations
25 papers, 1.1k citations indexed

About

Shu-di Yang is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Shu-di Yang has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomaterials, 15 papers in Molecular Biology and 9 papers in Biomedical Engineering. Recurrent topics in Shu-di Yang's work include Nanoparticle-Based Drug Delivery (15 papers), RNA Interference and Gene Delivery (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Shu-di Yang is often cited by papers focused on Nanoparticle-Based Drug Delivery (15 papers), RNA Interference and Gene Delivery (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Shu-di Yang collaborates with scholars based in China, United States and Czechia. Shu-di Yang's co-authors include Xuenong Zhang, Zhi-qiang Yuan, Jizhao Li, Xiaofeng Zhou, Wenjing Zhu, Bengang You, Chenxi Qu, Chun-ge Zhang, Wei-Liang Chen and Fang Li and has published in prestigious journals such as Biomaterials, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Shu-di Yang

25 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shu-di Yang 567 524 378 109 98 25 1.1k
Manasi Das 582 1.0× 448 0.9× 285 0.8× 150 1.4× 87 0.9× 22 1.4k
Yukihiro Namba 533 0.9× 474 0.9× 436 1.2× 104 1.0× 95 1.0× 28 1.1k
Yayuan Liu 582 1.0× 520 1.0× 314 0.8× 87 0.8× 52 0.5× 27 1.0k
Ka Hong Wong 450 0.8× 399 0.8× 296 0.8× 76 0.7× 67 0.7× 21 916
Rui Ran 680 1.2× 715 1.4× 693 1.8× 172 1.6× 80 0.8× 26 1.4k
Héloïse Ragelle 568 1.0× 412 0.8× 396 1.0× 64 0.6× 95 1.0× 17 1.3k
Wei Gao 442 0.8× 378 0.7× 263 0.7× 114 1.0× 72 0.7× 26 1.0k
Yogita P. Patil 481 0.8× 456 0.9× 296 0.8× 112 1.0× 55 0.6× 14 993
Samar El Achy 418 0.7× 511 1.0× 464 1.2× 103 0.9× 62 0.6× 29 1.0k
Sara Zalba 599 1.1× 512 1.0× 363 1.0× 197 1.8× 93 0.9× 29 1.1k

Countries citing papers authored by Shu-di Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shu-di Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-di Yang. 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 Shu-di Yang. The network helps show where Shu-di Yang may publish in the future.

Co-authorship network of co-authors of Shu-di Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-di Yang. A scholar is included among the top collaborators of Shu-di Yang 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 Shu-di Yang. Shu-di Yang 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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