Shu‐Chuan Lee

22 total papers · 516 total citations
19 papers, 386 citations indexed

About

Shu‐Chuan Lee is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Shu‐Chuan Lee has authored 19 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Endocrinology and 4 papers in Molecular Biology. Recurrent topics in Shu‐Chuan Lee's work include Plant Virus Research Studies (13 papers), Plant and Fungal Interactions Research (6 papers) and Anesthesia and Pain Management (2 papers). Shu‐Chuan Lee is often cited by papers focused on Plant Virus Research Studies (13 papers), Plant and Fungal Interactions Research (6 papers) and Anesthesia and Pain Management (2 papers). Shu‐Chuan Lee collaborates with scholars based in Taiwan, United States and United Kingdom. Shu‐Chuan Lee's co-authors include Chao-Wen Wang, Chih‐Hang Wu, Ya‐Chun Chang, Na‐Sheng Lin, Yau‐Heiu Hsu, King‐Fu Lin, Chih‐Hao Chang, Michael Taliansky, Ban‐Yang Chang and Jane Shaw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Shu‐Chuan Lee

17 papers receiving 373 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‐Chuan Lee 241 142 52 45 42 19 386
Hao Ye 77 0.3× 152 1.1× 14 0.3× 11 0.2× 62 1.5× 22 386
WenLian Xu 73 0.3× 333 2.3× 18 0.3× 18 0.4× 17 0.4× 17 424
Enza Maria Torchetti 187 0.8× 185 1.3× 105 2.0× 49 1.1× 16 0.4× 16 375
G. Svihla 79 0.3× 231 1.6× 18 0.3× 31 0.7× 34 0.8× 22 409
Yun Zhao 134 0.6× 236 1.7× 27 0.5× 4 0.1× 12 0.3× 19 416
Teresa Rubio 82 0.3× 250 1.8× 17 0.3× 5 0.1× 39 0.9× 20 399
Zhiqiang Hao 151 0.6× 202 1.4× 74 1.4× 8 0.2× 11 0.3× 22 362
Yvonne Müller 104 0.4× 92 0.6× 24 0.5× 3 0.1× 23 0.5× 22 445
Xuewen Cui 43 0.2× 160 1.1× 27 0.5× 23 0.5× 3 0.1× 21 352
Maxim Nagornykh 34 0.1× 239 1.7× 28 0.5× 87 1.9× 7 0.2× 17 403

Countries citing papers authored by Shu‐Chuan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Chuan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Chuan Lee. 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‐Chuan Lee. The network helps show where Shu‐Chuan Lee may publish in the future.

Co-authorship network of co-authors of Shu‐Chuan Lee

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