Esther M. Verheyen

2.7k total citations
55 papers, 2.0k citations indexed

About

Esther M. Verheyen is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Esther M. Verheyen has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 31 papers in Cell Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Esther M. Verheyen's work include Wnt/β-catenin signaling in development and cancer (25 papers), Hippo pathway signaling and YAP/TAZ (23 papers) and Developmental Biology and Gene Regulation (23 papers). Esther M. Verheyen is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (25 papers), Hippo pathway signaling and YAP/TAZ (23 papers) and Developmental Biology and Gene Regulation (23 papers). Esther M. Verheyen collaborates with scholars based in Canada, United States and Taiwan. Esther M. Verheyen's co-authors include Lynn Cooley, Sharan Swarup, Kathleen Ayers, Cara J. Gottardi, Yi Arial Zeng, Joanna Chen, Wendy Lee, Qing Yu, Kenneth Kin Lam Wong and Tirthadipa Pradhan‐Sundd and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Esther M. Verheyen

53 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esther M. Verheyen Canada 25 1.4k 784 315 256 199 55 2.0k
Arash Bashirullah United States 21 1.8k 1.3× 643 0.8× 414 1.3× 261 1.0× 130 0.7× 38 2.3k
Eli Arama Israel 23 1.5k 1.0× 497 0.6× 217 0.7× 207 0.8× 122 0.6× 33 1.9k
Yi Sun Taiwan 28 2.0k 1.4× 686 0.9× 540 1.7× 471 1.8× 202 1.0× 74 2.8k
Stephen L. Gregory Australia 19 965 0.7× 879 1.1× 205 0.7× 129 0.5× 91 0.5× 35 1.6k
Tomonori Hirose Japan 21 2.1k 1.5× 1.3k 1.7× 247 0.8× 176 0.7× 245 1.2× 43 2.9k
Rebecca Spokony United States 11 1.7k 1.2× 297 0.4× 314 1.0× 424 1.7× 134 0.7× 12 2.0k
Thomas Vaccari Italy 26 1.7k 1.2× 1.1k 1.4× 316 1.0× 155 0.6× 253 1.3× 54 3.3k
Kaye Suyama United States 16 1.4k 0.9× 520 0.7× 292 0.9× 354 1.4× 117 0.6× 23 1.8k
Udo Häcker Sweden 18 1.6k 1.1× 1.1k 1.4× 260 0.8× 267 1.0× 68 0.3× 22 2.1k
Pier Paolo D’Avino United Kingdom 26 1.4k 1.0× 1.3k 1.7× 259 0.8× 180 0.7× 154 0.8× 48 2.0k

Countries citing papers authored by Esther M. Verheyen

Since Specialization
Citations

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

Fields of papers citing papers by Esther M. Verheyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esther M. Verheyen. 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 Esther M. Verheyen. The network helps show where Esther M. Verheyen may publish in the future.

Co-authorship network of co-authors of Esther M. Verheyen

This figure shows the co-authorship network connecting the top 25 collaborators of Esther M. Verheyen. A scholar is included among the top collaborators of Esther M. Verheyen 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 Esther M. Verheyen. Esther M. Verheyen 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
2.
Chung, Hyung-Lok, Kenneth Kin Lam Wong, Debdeep Dutta, et al.. (2024). Cdk8/CDK19 promotes mitochondrial fission through Drp1 phosphorylation and can phenotypically suppress pink1 deficiency in Drosophila. Nature Communications. 15(1). 3326–3326. 6 indexed citations
3.
Yu, Kewei, et al.. (2023). The AMPK-like protein kinases Sik2 and Sik3 interact with Hipk and induce synergistic tumorigenesis in a Drosophila cancer model. Frontiers in Cell and Developmental Biology. 11. 1214539–1214539.
4.
Fu, Katherine, et al.. (2023). Mechanistic studies in Drosophila and chicken give new insights into functions of DVL1 in dominant Robinow syndrome. Disease Models & Mechanisms. 16(4). 5 indexed citations
5.
Verheyen, Esther M., et al.. (2021). Expression of human HIPKs inDrosophilademonstrates their shared and unique functions in a developmental model. G3 Genes Genomes Genetics. 11(12). 5 indexed citations
6.
Wong, Kenneth Kin Lam & Esther M. Verheyen. (2021). Metabolic reprogramming in cancer: mechanistic insights from Drosophila. Disease Models & Mechanisms. 14(7). 1–17. 13 indexed citations
7.
Pradhan‐Sundd, Tirthadipa, et al.. (2017). The Protein Phosphatase 4 complex promotes the Notch pathway and wingless transcription. Biology Open. 6(8). 1165–1173. 8 indexed citations
8.
Wong, Kenneth Kin Lam, et al.. (2017). Homeodomain-interacting protein kinase promotes tumorigenesis and metastatic cell behavior. Disease Models & Mechanisms. 11(1). 20 indexed citations
9.
Verheyen, Esther M., et al.. (2016). Homeodomain-Interacting Protein Kinases. Current topics in developmental biology. 123. 73–103. 46 indexed citations
10.
Pradhan‐Sundd, Tirthadipa & Esther M. Verheyen. (2015). The Myopic-Ubpy-Hrs nexus enables endosomal recycling of Frizzled. Molecular Biology of the Cell. 26(18). 3329–3342. 10 indexed citations
11.
Pradhan‐Sundd, Tirthadipa & Esther M. Verheyen. (2014). The role of Bro1- domain-containing protein Myopic in endosomal trafficking of Wnt/Wingless. Developmental Biology. 392(1). 93–107. 11 indexed citations
12.
Lee, Wendy, et al.. (2014). Hipk promotes photoreceptor differentiation through the repression of Twin of eyeless and Eyeless expression. Developmental Biology. 390(1). 14–25. 8 indexed citations
13.
Fernandes, Vilaiwan M., et al.. (2014). Nemo promotes Notch-mediated lateral inhibition downstream of proneural factors. Developmental Biology. 392(2). 334–343. 4 indexed citations
14.
Swarup, Sharan & Esther M. Verheyen. (2012). Wnt/Wingless Signaling in Drosophila. Cold Spring Harbor Perspectives in Biology. 4(6). a007930–a007930. 139 indexed citations
15.
Lee, Wendy, et al.. (2010). Nemo phosphorylates Even-skipped and promotes Eve-mediated repression of odd-skipped in even parasegments during Drosophila embryogenesis. Developmental Biology. 343(1-2). 178–189. 6 indexed citations
16.
Lee, Wendy, et al.. (2008). Hipk is an essential protein that promotes Notch signal transduction in the Drosophila eye by inhibition of the global co-repressor Groucho. Developmental Biology. 325(1). 263–272. 52 indexed citations
17.
Zeng, Yi Arial, et al.. (2007). DrosophilaNemo antagonizes BMP signaling by phosphorylation of Mad and inhibition of its nuclear accumulation. Development. 134(11). 2061–2071. 55 indexed citations
18.
Verheyen, Esther M.. (2007). Opposing Effects of Wnt and MAPK on BMP/Smad Signal Duration. Developmental Cell. 13(6). 755–756. 26 indexed citations
19.
Cooley, Lynn, Esther M. Verheyen, & Kathleen Ayers. (1992). chickadee encodes a profilin required for intercellular cytoplasm transport during Drosophila oogenesis. Cell. 69(1). 173–184. 318 indexed citations
20.
Bartles, James R., et al.. (1991). Decreases in the relative concentrations of specific hepatocyte plasma membrane proteins during liver regeneration: Down-regulation or dilution?. Developmental Biology. 143(2). 258–270. 32 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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