Chien‐Yun Lee

24 total papers · 612 total citations
13 papers, 366 citations indexed

About

Chien‐Yun Lee is a scholar working on Molecular Biology, Spectroscopy and Biochemistry. According to data from OpenAlex, Chien‐Yun Lee has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Biochemistry. Recurrent topics in Chien‐Yun Lee's work include Advanced Proteomics Techniques and Applications (4 papers), Polyamine Metabolism and Applications (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Chien‐Yun Lee is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Polyamine Metabolism and Applications (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Chien‐Yun Lee collaborates with scholars based in Germany, Taiwan and Sweden. Chien‐Yun Lee's co-authors include Bernhard Küster, Florian Bayer, Christopher M. Rose, Tommy K. Cheung, Karsten Schnatbaum, Hui‐Chih Hung, Mathias Uhlén, Guang‐Yaw Liu, Hannes Hahne and Ulf Reimer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Chien‐Yun Lee

11 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Chien‐Yun Lee 226 135 54 54 40 13 366
Sofia Waldemarson 226 1.0× 144 1.1× 38 0.7× 30 0.6× 36 0.9× 19 378
Georgia Kontostathi 194 0.9× 52 0.4× 14 0.3× 70 1.3× 66 1.6× 17 340
Vinuth N. Puttamallesh 230 1.0× 40 0.3× 53 1.0× 54 1.0× 42 1.1× 17 389
Eric McCairns 202 0.9× 22 0.2× 15 0.3× 42 0.8× 15 0.4× 16 331
Jacek Mozdzanowski 198 0.9× 69 0.5× 26 0.5× 73 1.4× 6 0.1× 16 352
Vladimir Rait 311 1.4× 36 0.3× 42 0.8× 18 0.3× 25 0.6× 12 385
Josef Van Damme 267 1.2× 122 0.9× 23 0.4× 43 0.8× 24 0.6× 9 374
Yuko Hosokawa 141 0.6× 61 0.5× 14 0.3× 30 0.6× 102 2.5× 20 308
M Koyama 193 0.9× 27 0.2× 30 0.6× 28 0.5× 13 0.3× 17 380
Guillaume Béchade 238 1.1× 46 0.3× 13 0.2× 93 1.7× 31 0.8× 7 332

Countries citing papers authored by Chien‐Yun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Yun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Yun Lee

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