Shuying Li

54 total papers · 881 total citations
29 papers, 472 citations indexed

About

Shuying Li is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shuying Li has authored 29 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shuying Li's work include Anesthesia and Pain Management (6 papers), Antifungal resistance and susceptibility (5 papers) and Fungal Infections and Studies (5 papers). Shuying Li is often cited by papers focused on Anesthesia and Pain Management (6 papers), Antifungal resistance and susceptibility (5 papers) and Fungal Infections and Studies (5 papers). Shuying Li collaborates with scholars based in China, Taiwan and Kenya. Shuying Li's co-authors include Kuo-Wei Chen, Yee‐Chun Chen, Hsiu‐Jung Lo, Yu-Hsin Lin, Mei‐Hui Liao, Yu‐Hui Lin, Yun-Liang Yang, Juan Ni, Dong Luo and Hwa‐Jen Teng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Medicine.

In The Last Decade

Shuying Li

27 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Shuying Li 184 175 87 79 75 29 472
Eric Bensadoun 173 0.9× 135 0.8× 55 0.6× 173 2.2× 61 0.8× 21 503
Philip Witorsch 206 1.1× 130 0.7× 21 0.2× 71 0.9× 45 0.6× 29 413
Douglas L. Hurley 173 0.9× 197 1.1× 31 0.4× 62 0.8× 115 1.5× 22 526
Akihisa Nitta 158 0.9× 126 0.7× 81 0.9× 61 0.8× 83 1.1× 28 430
Hayk Minasyan 137 0.7× 55 0.3× 125 1.4× 74 0.9× 44 0.6× 18 513
Takayuki Imai 156 0.8× 127 0.7× 125 1.4× 20 0.3× 79 1.1× 39 462
Jihye Kim 79 0.4× 33 0.2× 55 0.6× 32 0.4× 174 2.3× 46 465
Leon V. McVay 164 0.9× 91 0.5× 28 0.3× 92 1.2× 70 0.9× 26 424
Jennifer J. Meudt 148 0.8× 130 0.7× 157 1.8× 47 0.6× 67 0.9× 24 525
Nayan Patel 144 0.8× 47 0.3× 24 0.3× 35 0.4× 187 2.5× 28 535

Countries citing papers authored by Shuying Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuying Li

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