Cunle Wu

1.7k total citations
26 papers, 1.4k citations indexed

About

Cunle Wu is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, Cunle Wu has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Pharmacology. Recurrent topics in Cunle Wu's work include Fungal and yeast genetics research (20 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Plant Reproductive Biology (4 papers). Cunle Wu is often cited by papers focused on Fungal and yeast genetics research (20 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Plant Reproductive Biology (4 papers). Cunle Wu collaborates with scholars based in Canada and United States. Cunle Wu's co-authors include David Y. Thomas, Malcolm Whiteway, Ekkehard Leberer, Thomas Leeuw, Gregor Jansen, Karen Clark, Anne Fourest‐Lieuvin, Babette Schade, Joseph D. Schrag and Janet Chênevert and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Cunle Wu

26 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunle Wu Canada 17 1.3k 443 232 208 83 26 1.4k
Paula Alepúz Spain 22 1.8k 1.4× 232 0.5× 333 1.4× 108 0.5× 75 0.9× 47 2.0k
Kazuo Tatebayashi Japan 17 1.1k 0.9× 317 0.7× 370 1.6× 161 0.8× 62 0.7× 26 1.3k
Belinda M. Jackson United States 17 1.9k 1.4× 262 0.6× 201 0.9× 48 0.2× 68 0.8× 21 2.1k
Michael Dante United States 3 1.4k 1.1× 364 0.8× 277 1.2× 70 0.3× 39 0.5× 3 1.5k
Yuko Giga‐Hama Japan 22 924 0.7× 279 0.6× 163 0.7× 70 0.3× 49 0.6× 39 1.1k
Aysha H. Osmani United States 20 2.1k 1.6× 1.0k 2.3× 488 2.1× 373 1.8× 82 1.0× 38 2.3k
Thomas Christianson United States 12 2.3k 1.8× 371 0.8× 286 1.2× 79 0.4× 39 0.5× 14 2.4k
Namrita Dhillon United States 20 1.3k 1.0× 222 0.5× 276 1.2× 200 1.0× 30 0.4× 29 1.5k
Odile Ozier-Kalogéropoulos France 12 1.9k 1.5× 341 0.8× 294 1.3× 42 0.2× 54 0.7× 17 2.1k
Emmanuelle Boy‐Marcotte France 22 1.6k 1.2× 306 0.7× 208 0.9× 94 0.5× 53 0.6× 33 1.7k

Countries citing papers authored by Cunle Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cunle Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunle Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cunle Wu. A scholar is included among the top collaborators of Cunle Wu 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 Cunle Wu. Cunle Wu 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.
2.
Henry, Kevin A., Toya Nath Baral, Greg Hussack, et al.. (2021). Biparatopic single-domain antibodies against Axl achieve ultra-high affinity through intramolecular engagement. Biochemical and Biophysical Research Communications. 562. 154–161. 8 indexed citations
3.
Sulea, Traian, et al.. (2019). The adaptor protein Ste50 directly modulates yeast MAPK signaling specificity through differential connections of its RA domain. Molecular Biology of the Cell. 30(6). 794–807. 12 indexed citations
4.
Mallick, Jaideep, Gregor Jansen, Cunle Wu, & Malcolm Whiteway. (2015). SRYTH: A New Yeast Two-Hybrid Method. Methods in molecular biology. 1356. 31–41. 5 indexed citations
5.
Harcus, Doreen, Daniel Dignard, Guylaine Lépine, et al.. (2013). Comparative Xylose Metabolism among the Ascomycetes C. albicans, S. stipitis and S. cerevisiae. PLoS ONE. 8(11). e80733–e80733. 15 indexed citations
6.
Yerko, Volodymyr, Traian Sulea, Irena Ekiel, et al.. (2012). Structurally unique interaction of RBD-like and PH domains is crucial for yeast pheromone signaling. Molecular Biology of the Cell. 24(3). 409–420. 5 indexed citations
7.
Côté, Pierre, Traian Sulea, Daniel Dignard, Cunle Wu, & Malcolm Whiteway. (2011). Evolutionary Reshaping of Fungal Mating Pathway Scaffold Proteins. mBio. 2(1). e00230–10. 32 indexed citations
8.
Ekiel, Irena, Traian Sulea, Gregor Jansen, et al.. (2009). Binding the Atypical RA Domain of Ste50p to the Unfolded Opy2p Cytoplasmic Tail Is Essential for the High-Osmolarity Glycerol Pathway. Molecular Biology of the Cell. 20(24). 5117–5126. 31 indexed citations
9.
Wu, Cunle, Gregor Jansen, Jianchun Zhang, David Y. Thomas, & Malcolm Whiteway. (2006). Adaptor protein Ste50p links the Ste11p MEKK to the HOG pathway through plasma membrane association. Genes & Development. 20(6). 734–746. 75 indexed citations
10.
11.
Jansen, Gregor, Cunle Wu, Babette Schade, David Y. Thomas, & Malcolm Whiteway. (2004). Drag&Drop cloning in yeast. Gene. 344. 43–51. 155 indexed citations
12.
Wu, Cunle, Ekkehard Leberer, David Y. Thomas, & Malcolm Whiteway. (1999). Functional Characterization of the Interaction of Ste50p with Ste11p MAPKKK inSaccharomyces cerevisiae. Molecular Biology of the Cell. 10(7). 2425–2440. 66 indexed citations
13.
Leeuw, Thomas, Cunle Wu, Joseph D. Schrag, et al.. (1998). Interaction of a G-protein β-subunit with a conserved sequence in Ste20/PAK family protein kinases. Nature. 391(6663). 191–195. 185 indexed citations
14.
Wu, Cunle, Thomas Leeuw, Ekkehard Leberer, David Y. Thomas, & Malcolm Whiteway. (1998). Cell Cycle- and Cln2p-Cdc28p-dependent Phosphorylation of the Yeast Ste20p Protein Kinase. Journal of Biological Chemistry. 273(43). 28107–28115. 41 indexed citations
15.
Wu, Cunle, Viktoria Lytvyn, David Y. Thomas, & Ekkehard Leberer. (1997). The Phosphorylation Site for Ste20p-like Protein Kinases Is Essential for the Function of Myosin-I in Yeast. Journal of Biological Chemistry. 272(49). 30623–30626. 78 indexed citations
16.
Wu, Cunle, Sheu-Fen Lee, Emilia Furmaniak-Kazmierczak, et al.. (1996). Activation of Myosin-I by Members of the Ste20p Protein Kinase Family. Journal of Biological Chemistry. 271(50). 31787–31790. 87 indexed citations
17.
Wu, Cunle, Malcolm Whiteway, David Y. Thomas, & Ekkehard Leberer. (1995). Molecular Characterization of Ste20p, a Potential Mitogen-activated Protein or Extracellular Signal-regulated Kinase Kinase (MEK) Kinase Kinase from Saccharomyces cerevisiae. Journal of Biological Chemistry. 270(27). 15984–15992. 158 indexed citations
18.
Wu, Cunle, Maria Zannis‐Hadjopoulos, & Gerald B. Price. (1993). In vivo activity for initiation of DNA replication resides in a transcribed region of the human genome. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1174(3). 258–266. 25 indexed citations
19.
Wu, Cunle, et al.. (1993). Chromosomal localization of a sequence with in vivo activity for initiation of DNA replication. Somatic Cell and Molecular Genetics. 19(1). 103–109. 2 indexed citations
20.
Wu, Cunle, et al.. (1993). cDNA clones contain autonomous replication activity. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1174(3). 241–257. 24 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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