Shubai Li

43 total papers · 458 total citations
27 papers, 390 citations indexed

About

Shubai Li is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Shubai Li has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Biomaterials and 6 papers in Organic Chemistry. Recurrent topics in Shubai Li's work include Electrospun Nanofibers in Biomedical Applications (5 papers), Conducting polymers and applications (4 papers) and melanin and skin pigmentation (4 papers). Shubai Li is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (5 papers), Conducting polymers and applications (4 papers) and melanin and skin pigmentation (4 papers). Shubai Li collaborates with scholars based in China, United Kingdom and United States. Shubai Li's co-authors include Huali Nie, Li‐Min Zhu, Hai‐Tao Zhang, CHRISTOPHER J. BRANFORD WHITE, Xin Ning, Christopher Branford‐White, Jing Quan, Li Zhu, Lin Liu and Jing Quan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electrochimica Acta and Tetrahedron Letters.

In The Last Decade

Shubai Li

27 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Shubai Li 197 126 77 73 64 27 390
Alvaro Antonio Alencar de Queiroz 155 0.8× 107 0.8× 57 0.7× 83 1.1× 122 1.9× 19 408
David Joram Mendoza 224 1.1× 101 0.8× 54 0.7× 29 0.4× 43 0.7× 17 438
Mario D. Ninago 189 1.0× 98 0.8× 71 0.9× 32 0.4× 72 1.1× 37 360
Ruilin Tang 171 0.9× 109 0.9× 47 0.6× 24 0.3× 43 0.7× 13 384
Yasumitsu Uraki 212 1.1× 174 1.4× 34 0.4× 26 0.4× 66 1.0× 24 410
E. A. Hassan 64 0.3× 90 0.7× 61 0.8× 47 0.6× 68 1.1× 35 395
Anca Giorgiana Grigoras 99 0.5× 80 0.6× 62 0.8× 101 1.4× 28 0.4× 18 364
Dehong Cheng 97 0.5× 109 0.9× 69 0.9× 49 0.7× 34 0.5× 21 434
Karine Cappuccio de Castro 203 1.0× 125 1.0× 56 0.7× 38 0.5× 36 0.6× 20 429
Rodolfo Debone Piazza 170 0.9× 149 1.2× 68 0.9× 57 0.8× 24 0.4× 37 359

Countries citing papers authored by Shubai Li

Since Specialization
Citations

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

Fields of papers citing papers by Shubai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubai Li

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