Wei-Lien Yen

2.0k total citations
11 papers, 1.5k citations indexed

About

Wei-Lien Yen is a scholar working on Epidemiology, Cell Biology and Physiology. According to data from OpenAlex, Wei-Lien Yen has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Wei-Lien Yen's work include Autophagy in Disease and Therapy (11 papers), Cellular transport and secretion (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Wei-Lien Yen is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), Cellular transport and secretion (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Wei-Lien Yen collaborates with scholars based in United States, Japan and Netherlands. Wei-Lien Yen's co-authors include Daniel J. Klionsky, Misuzu Baba, Usha Nair, Jiefei Geng, Ke Wang, Julie E. Legakis, Fulvio Reggiori, Yang Cao, Zhifen Yang and Shanta Nag and has published in prestigious journals such as Cell, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Wei-Lien Yen

11 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei-Lien Yen United States 10 1.2k 685 594 168 160 11 1.5k
Hiromi Kirisako Japan 15 1.2k 0.9× 730 1.1× 746 1.3× 171 1.0× 129 0.8× 20 1.5k
Zhiyuan Yao United States 7 1.3k 1.1× 902 1.3× 396 0.7× 154 0.9× 172 1.1× 17 1.8k
Hannah C. Dooley United Kingdom 9 1.2k 1.0× 572 0.8× 592 1.0× 236 1.4× 200 1.3× 13 1.5k
Taki Nishimura Japan 19 1.2k 1.0× 761 1.1× 748 1.3× 293 1.7× 242 1.5× 27 1.8k
Takao Hanada Japan 11 1.1k 0.9× 871 1.3× 383 0.6× 179 1.1× 104 0.7× 15 1.6k
Tomoko Funakoshi Japan 17 980 0.8× 1.2k 1.7× 603 1.0× 123 0.7× 133 0.8× 25 1.8k
Jean‐Claude Farré United States 12 890 0.7× 692 1.0× 333 0.6× 89 0.5× 88 0.6× 13 1.2k
Dalibor Mijaljica Australia 19 830 0.7× 689 1.0× 271 0.5× 133 0.8× 134 0.8× 30 1.4k
Vikramjit Lahiri India 10 823 0.7× 582 0.8× 267 0.4× 121 0.7× 132 0.8× 19 1.3k

Countries citing papers authored by Wei-Lien Yen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Lien Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Lien Yen. 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 Wei-Lien Yen. The network helps show where Wei-Lien Yen may publish in the future.

Co-authorship network of co-authors of Wei-Lien Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Lien Yen. A scholar is included among the top collaborators of Wei-Lien Yen 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 Wei-Lien Yen. Wei-Lien Yen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Yen, Wei-Lien & Daniel J. Klionsky. (2012). Proteinase protection of prApe1 as a tool to monitor Cvt vesicle/autophagosome biogenesis. Autophagy. 8(8). 1245–1249. 8 indexed citations
2.
Nair, Usha, Wei-Lien Yen, Muriel Mari, et al.. (2012). A role for Atg8–PE deconjugation in autophagosome biogenesis. Autophagy. 8(5). 780–793. 172 indexed citations
3.
Nair, Usha, Jiefei Geng, Noor Gammoh, et al.. (2011). SNARE Proteins Are Required for Macroautophagy. Cell. 146(2). 290–302. 356 indexed citations
4.
Yang, Zhifen, Jiefei Geng, Wei-Lien Yen, Ke Wang, & Daniel J. Klionsky. (2010). Positive or Negative Roles of Different Cyclin-Dependent Kinase Pho85-Cyclin Complexes Orchestrate Induction of Autophagy in Saccharomyces cerevisiae. Molecular Cell. 38(2). 250–264. 55 indexed citations
5.
Shahnazari, Shahab, Wei-Lien Yen, Cheryl L. Birmingham, et al.. (2010). A Diacylglycerol-Dependent Signaling Pathway Contributes to Regulation of Antibacterial Autophagy. Cell Host & Microbe. 8(2). 137–146. 118 indexed citations
6.
Yen, Wei-Lien, Takahiro Shintani, Usha Nair, et al.. (2010). The conserved oligomeric Golgi complex is involved in double-membrane vesicle formation during autophagy. The Journal of Cell Biology. 188(1). 101–114. 153 indexed citations
7.
Kanki, Tomotake, Ke Wang, Misuzu Baba, et al.. (2009). A Genomic Screen for Yeast Mutants Defective in Selective Mitochondria Autophagy. Molecular Biology of the Cell. 20(22). 4730–4738. 207 indexed citations
8.
Yen, Wei-Lien & Daniel J. Klionsky. (2008). How to Live Long and Prosper: Autophagy, Mitochondria, and Aging. Physiology. 23(5). 248–262. 208 indexed citations
9.
Legakis, Julie E., Wei-Lien Yen, & Daniel J. Klionsky. (2007). A Cycling Protein Complex Required for Selective Autophagy. Autophagy. 3(5). 422–432. 90 indexed citations
10.
Yen, Wei-Lien & Daniel J. Klionsky. (2007). Atg27 is a Second Transmembrane Cycling Protein. Autophagy. 3(3). 254–256. 25 indexed citations
11.
He, Congcong, Hui Song, Tomohiro Yorimitsu, et al.. (2006). Recruitment of Atg9 to the preautophagosomal structure by Atg11 is essential for selective autophagy in budding yeast. The Journal of Cell Biology. 175(6). 925–935. 154 indexed citations

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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