Deborah Chadee

1.6k total citations
39 papers, 1.4k citations indexed

About

Deborah Chadee is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Deborah Chadee has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Cell Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Deborah Chadee's work include Melanoma and MAPK Pathways (13 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Genomics and Chromatin Dynamics (8 papers). Deborah Chadee is often cited by papers focused on Melanoma and MAPK Pathways (13 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Genomics and Chromatin Dynamics (8 papers). Deborah Chadee collaborates with scholars based in United States, Canada and Japan. Deborah Chadee's co-authors include John Kyriakis, James Davie, James R. Wright, David P. Bazett‐Jones, Michael J. Hendzel, C. David Allis, C. David Allis, Takashi Yuasa, Yu Zhan and Widian F. Abi Saab and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Cell Biology.

In The Last Decade

Deborah Chadee

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Chadee United States 21 1.1k 254 229 184 122 39 1.4k
Lea Guo United States 16 1.1k 1.0× 198 0.8× 289 1.3× 119 0.6× 52 0.4× 21 1.4k
Lewis J. Stafford United States 20 1.1k 1.0× 245 1.0× 160 0.7× 221 1.2× 137 1.1× 23 1.5k
Nancy L. Johnson United States 13 1.4k 1.2× 279 1.1× 330 1.4× 232 1.3× 89 0.7× 13 1.8k
Erik Wilker United States 16 1.1k 1.0× 268 1.1× 270 1.2× 95 0.5× 77 0.6× 24 1.5k
Andrea Kauffmann-Zeh United Kingdom 7 1.2k 1.1× 342 1.3× 268 1.2× 203 1.1× 75 0.6× 10 1.5k
Fabrizio Loreni Italy 30 1.7k 1.5× 248 1.0× 142 0.6× 192 1.0× 70 0.6× 58 2.0k
Hye Shin Lee South Korea 19 820 0.7× 248 1.0× 171 0.7× 114 0.6× 71 0.6× 28 1.2k
Valeria Bertagnolo Italy 25 1.5k 1.3× 345 1.4× 356 1.6× 256 1.4× 66 0.5× 85 2.0k
Richard E. Cutler United States 19 1.1k 1.0× 506 2.0× 234 1.0× 165 0.9× 109 0.9× 46 1.6k
Yonghong Xiao United States 10 1.6k 1.4× 398 1.6× 337 1.5× 282 1.5× 113 0.9× 12 1.9k

Countries citing papers authored by Deborah Chadee

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Chadee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Chadee

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Chadee. A scholar is included among the top collaborators of Deborah Chadee 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 Deborah Chadee. Deborah Chadee 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.
Taylor, William R., et al.. (2022). Phosphorylation of mixed lineage kinase MLK3 by cyclin-dependent kinases CDK1 and CDK2 controls ovarian cancer cell division. Journal of Biological Chemistry. 298(8). 102263–102263. 9 indexed citations
2.
Chadee, Deborah, et al.. (2021). A short C-terminal peptide in Gγ regulates Gβγ signaling efficacy. Molecular Biology of the Cell. 32(16). mbc.E20–11. 6 indexed citations
3.
Weerasinghe, Amila, et al.. (2019). G protein αq exerts expression level-dependent distinct signaling paradigms. Cellular Signalling. 58. 34–43. 9 indexed citations
4.
Chadee, Deborah, et al.. (2017). Osmotic and heat stress-dependent regulation of MLK4β and MLK3 by the CHIP E3 ligase in ovarian cancer cells. Cellular Signalling. 39. 66–73. 13 indexed citations
5.
Chadee, Deborah, et al.. (2014). The E3 Ligase CHIP Mediates Ubiquitination and Degradation of Mixed-Lineage Kinase 3. Molecular and Cellular Biology. 34(16). 3132–3143. 29 indexed citations
6.
Zhan, Yu, et al.. (2012). Mixed lineage kinase 3 is required for matrix metalloproteinase expression and invasion in ovarian cancer cells. Experimental Cell Research. 318(14). 1641–1648. 41 indexed citations
7.
8.
Zhan, Yu & Deborah Chadee. (2010). Inhibition of Cdc42-mediated activation of mixed lineage kinase 3 by the tumor suppressor protein merlin. Small GTPases. 1(3). 183–186. 9 indexed citations
9.
Cole, Eric T., et al.. (2009). Mixed lineage kinase 3 negatively regulates IKK activity and enhances etoposide-induced cell death. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(12). 1811–1818. 12 indexed citations
10.
Zhan, Yu, et al.. (2009). Cytokine-induced activation of mixed lineage kinase 3 requires TRAF2 and TRAF6. Cellular Signalling. 21(11). 1620–1625. 34 indexed citations
11.
Bekier, Michael E., Harpreet Kaur, Xiaofeng Zhou, et al.. (2008). Investigating the role of Aurora kinases in RAS signaling. Journal of Cellular Biochemistry. 106(1). 33–41. 6 indexed citations
12.
Chadee, Deborah, Da-Zhong Xu, Gene Hung, et al.. (2006). Mixed-lineage kinase 3 regulates B-Raf through maintenance of the B-Raf/Raf-1 complex and inhibition by the NF2 tumor suppressor protein. Proceedings of the National Academy of Sciences. 103(12). 4463–4468. 78 indexed citations
13.
Chadee, Deborah & John Kyriakis. (2004). A Novel Role for Mixed Lineage Kinase 3 (MLK3) in B-Raf Activation and Cell proliferation. Cell Cycle. 3(10). 1227–1229. 31 indexed citations
14.
Roelen, Bernard A.J., Ori S. Cohen, Malay K. Raychowdhury, et al.. (2003). Phosphorylation of threonine 276 in Smad4 is involved in transforming growth factor-β-induced nuclear accumulation. American Journal of Physiology-Cell Physiology. 285(4). C823–C830. 52 indexed citations
15.
Chadee, Deborah, et al.. (2002). Histone H1S-3 phosphorylation in Ha-ras oncogene-transformed mouse fibroblasts. Oncogene. 21(55). 8397–8403. 28 indexed citations
16.
Davie, James & Deborah Chadee. (1998). Regulation and regulatory parameters of histone modifications. Journal of Cellular Biochemistry. 72(S30-31). 203–213. 76 indexed citations
17.
Fischer, Andrew H., Deborah Chadee, James R. Wright, Ted Gansler, & James Davie. (1998). Ras‐associated nuclear structural change appears functionally significant and independent of the mitotic signaling pathway. Journal of Cellular Biochemistry. 70(1). 130–140. 2 indexed citations
18.
Chadee, Deborah, C. David Allis, Jim Wright, & James Davie. (1997). Histone H1b Phosphorylation Is Dependent upon Ongoing Transcription and Replication in Normal and ras-transformed Mouse Fibroblasts. Journal of Biological Chemistry. 272(13). 8113–8116. 39 indexed citations
19.
Chadee, Deborah, William R. Taylor, Robert A. R. Hurta, et al.. (1995). Increased Phosphorylation of Histone H1 in Mouse Fibroblasts Transformed with Oncogenes or Constitutively Active Mitogen-activated Protein Kinase Kinase. Journal of Biological Chemistry. 270(34). 20098–20105. 97 indexed citations
20.
Armstrong, J. D., Deborah Chadee, & Bernard A. Kunz. (1994). Roles for the yeast RAD18 and RAD52 DNA repair genes in UV mutagenesis. Mutation Research/DNA Repair. 315(3). 281–293. 25 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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