Chao-Wen Wang

2.9k total citations
30 papers, 2.2k citations indexed

About

Chao-Wen Wang is a scholar working on Cell Biology, Molecular Biology and Biochemistry. According to data from OpenAlex, Chao-Wen Wang has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cell Biology, 14 papers in Molecular Biology and 13 papers in Biochemistry. Recurrent topics in Chao-Wen Wang's work include Endoplasmic Reticulum Stress and Disease (14 papers), Lipid metabolism and biosynthesis (13 papers) and Cellular transport and secretion (12 papers). Chao-Wen Wang is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (14 papers), Lipid metabolism and biosynthesis (13 papers) and Cellular transport and secretion (12 papers). Chao-Wen Wang collaborates with scholars based in Taiwan, United States and France. Chao-Wen Wang's co-authors include Daniel J. Klionsky, Per E. Strømhaug, Fulvio Reggiori, Shu‐Chuan Lee, Chih‐Hang Wu, Hagai Abeliovich, Randy Schekman, Takahiro Shintani, Ju Guan and Tomohiro Yorimitsu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Chao-Wen Wang

30 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao-Wen Wang Taiwan 22 1.2k 1.1k 988 437 325 30 2.2k
Tomer Shpilka Israel 12 1.3k 1.1× 1.7k 1.5× 813 0.8× 177 0.4× 154 0.5× 17 2.7k
Takayuki Sekito Japan 19 1.6k 1.3× 1.7k 1.6× 1.1k 1.1× 137 0.3× 324 1.0× 47 2.8k
Taki Nishimura Japan 19 761 0.6× 1.2k 1.1× 748 0.8× 199 0.5× 86 0.3× 27 1.8k
Ewald H. Hettema United Kingdom 31 3.1k 2.6× 602 0.6× 624 0.6× 322 0.7× 180 0.6× 51 3.6k
Keisuke Obara Japan 18 981 0.8× 1.0k 0.9× 612 0.6× 88 0.2× 409 1.3× 35 1.8k
Hilla Weidberg Israel 14 1.3k 1.1× 1.7k 1.5× 747 0.8× 95 0.2× 138 0.4× 17 2.5k
Michael Thumm Germany 36 2.1k 1.8× 2.4k 2.2× 1.8k 1.8× 141 0.3× 393 1.2× 61 3.8k
Sidney V. Scott United States 19 1.8k 1.5× 2.0k 1.8× 1.5k 1.6× 111 0.3× 242 0.7× 21 3.0k
Ryan J. Schulze United States 18 806 0.7× 759 0.7× 426 0.4× 724 1.7× 85 0.3× 26 2.0k
Wei‐Pang Huang Taiwan 28 1.5k 1.3× 1.8k 1.7× 1.0k 1.0× 67 0.2× 166 0.5× 43 3.0k

Countries citing papers authored by Chao-Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Wen Wang. 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 Chao-Wen Wang. The network helps show where Chao-Wen Wang may publish in the future.

Co-authorship network of co-authors of Chao-Wen Wang

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

All Works

20 of 20 papers shown
1.
Daetwyler, Stephan, Xiaofei Bai, Morgane Michaud, et al.. (2025). The Vps13-like protein BLTP2 regulates phosphatidylethanolamine levels to maintain plasma membrane fluidity and breast cancer aggressiveness. Nature Cell Biology. 27(7). 1125–1135. 6 indexed citations
2.
Wang, Chao-Wen, Rey‐Huei Chen, & Yu‐Kai Chen. (2024). The lipid droplet assembly complex consists of seipin and four accessory factors in budding yeast. Journal of Biological Chemistry. 300(8). 107534–107534. 3 indexed citations
3.
Bai, Xiaofei, Sheng-Wen Chen, Jui-Ching Wu, et al.. (2020). Loss of the seipin gene perturbs eggshell formation inC. elegans. Development. 147(20). 19 indexed citations
4.
Wang, Chao-Wen, et al.. (2019). Seipin negatively regulates sphingolipid production at the ER–LD contact site. The Journal of Cell Biology. 218(11). 3663–3680. 23 indexed citations
5.
Wang, Chao-Wen, et al.. (2016). Lipid droplets maintain lipid homeostasis during anaphase for efficient cell separation in budding yeast. Molecular Biology of the Cell. 27(15). 2368–2380. 27 indexed citations
6.
7.
Chen, Rey‐Huei, et al.. (2016). Lipid droplets are central organelles for meiosis II progression during yeast sporulation. Molecular Biology of the Cell. 28(3). 440–451. 26 indexed citations
8.
Wang, Chao-Wen. (2015). Lipid droplet dynamics in budding yeast. Cellular and Molecular Life Sciences. 72(14). 2677–2695. 60 indexed citations
9.
Wang, Chao-Wen, et al.. (2014). A sterol-enriched vacuolar microdomain mediates stationary phase lipophagy in budding yeast. The Journal of Cell Biology. 206(3). 357–366. 158 indexed citations
10.
Wang, Chao-Wen. (2014). Stationary phase lipophagy as a cellular mechanism to recycle sterols during quiescence. Autophagy. 10(11). 2075–2076. 7 indexed citations
11.
Wang, Chao-Wen, et al.. (2014). Size control of lipid droplets in budding yeast requires a collaboration of Fld1 and Ldb16. Journal of Cell Science. 127(Pt 6). 1214–28. 95 indexed citations
12.
Wang, Chao-Wen & Shu‐Chuan Lee. (2012). The ubiquitin-like (UBX)-domain-containing protein Ubx2/ Ubxd8 regulates lipid droplet homeostasis. Journal of Cell Science. 125(Pt 12). 2930–9. 66 indexed citations
13.
Wu, Chih‐Hang, Shu‐Chuan Lee, & Chao-Wen Wang. (2011). Viral protein targeting to the cortical endoplasmic reticulum is required for cell–cell spreading in plants. The Journal of Cell Biology. 193(3). 521–535. 61 indexed citations
14.
Cheong, Heesun, Tomohiro Yorimitsu, Fulvio Reggiori, et al.. (2005). Atg17 Regulates the Magnitude of the Autophagic Response. Molecular Biology of the Cell. 16(7). 3438–3453. 171 indexed citations
15.
Reggiori, Fulvio, Chao-Wen Wang, Usha Nair, et al.. (2004). Early Stages of the Secretory Pathway, but Not Endosomes, Are Required for Cvt Vesicle and Autophagosome Assembly inSaccharomyces cerevisiae. Molecular Biology of the Cell. 15(5). 2189–2204. 110 indexed citations
16.
Strømhaug, Per E., Fulvio Reggiori, Ju Guan, Chao-Wen Wang, & Daniel J. Klionsky. (2004). Atg21 Is a Phosphoinositide Binding Protein Required for Efficient Lipidation and Localization of Atg8 during Uptake of Aminopeptidase I by Selective Autophagy. Molecular Biology of the Cell. 15(8). 3553–3566. 174 indexed citations
17.
Reggiori, Fulvio, Chao-Wen Wang, Per E. Strømhaug, Takahiro Shintani, & Daniel J. Klionsky. (2003). Vps51 Is Part of the Yeast Vps Fifty-three Tethering Complex Essential for Retrograde Traffic from the Early Endosome and Cvt Vesicle Completion. Journal of Biological Chemistry. 278(7). 5009–5020. 84 indexed citations
18.
Wang, Chao-Wen, Per E. Strømhaug, Jun Shima, & Daniel J. Klionsky. (2002). The Ccz1-Mon1 Protein Complex Is Required for the Late Step of Multiple Vacuole Delivery Pathways. Journal of Biological Chemistry. 277(49). 47917–47927. 103 indexed citations
19.
Wang, Chao-Wen, John Kim, Wei‐Pang Huang, et al.. (2001). Apg2 Is a Novel Protein Required for the Cytoplasm to Vacuole Targeting, Autophagy, and Pexophagy Pathways. Journal of Biological Chemistry. 276(32). 30442–30451. 128 indexed citations
20.
Wang, Chao-Wen, Richard Sterba, & Patrick Tchou. (1997). Bundle Branch Reentry Ventricular Tachycardia with Two Distinct Left Bundle Branch Block Morphologies. Journal of Cardiovascular Electrophysiology. 8(6). 688–693. 5 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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