Grant Dewson

14.5k total citations · 5 hit papers
81 papers, 7.2k citations indexed

About

Grant Dewson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Grant Dewson has authored 81 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 20 papers in Immunology and 12 papers in Oncology. Recurrent topics in Grant Dewson's work include Cell death mechanisms and regulation (48 papers), RNA Interference and Gene Delivery (22 papers) and Mitochondrial Function and Pathology (20 papers). Grant Dewson is often cited by papers focused on Cell death mechanisms and regulation (48 papers), RNA Interference and Gene Delivery (22 papers) and Mitochondrial Function and Pathology (20 papers). Grant Dewson collaborates with scholars based in Australia, United Kingdom and United States. Grant Dewson's co-authors include Ruth M. Kluck, Dana Westphal, Jerry M. Adams, Peter E. Czabotar, David C.S. Huang, Edwina Naik, Simon N. Willis, Andrew H. Wei, Chen Lin and Jamie I. Fletcher and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Grant Dewson

80 papers receiving 7.2k citations

Hit Papers

Proapoptotic Bak is sequestered by Mcl-1 and Bcl-x L , bu... 2005 2026 2012 2019 2005 2013 2021 2024 2023 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grant Dewson Australia 46 5.3k 1.3k 1.1k 999 671 81 7.2k
Paul G. Ekert Australia 41 5.9k 1.1× 1.7k 1.3× 1.3k 1.2× 1.3k 1.3× 844 1.3× 128 8.3k
Guillaume Lessène Australia 34 5.1k 1.0× 1.7k 1.3× 1.2k 1.1× 714 0.7× 614 0.9× 78 7.3k
Beni B. Wolf United States 26 5.3k 1.0× 1.2k 0.9× 1.3k 1.2× 801 0.8× 893 1.3× 53 7.6k
Lisa Bouchier‐Hayes United States 32 5.3k 1.0× 1.2k 0.9× 1.8k 1.7× 1.0k 1.0× 885 1.3× 52 7.2k
Atan Gross Israel 25 7.0k 1.3× 1.5k 1.1× 1.4k 1.3× 1.2k 1.2× 999 1.5× 32 8.8k
Henning R. Stennicke Denmark 29 6.6k 1.2× 1.5k 1.1× 1.5k 1.3× 933 0.9× 938 1.4× 56 8.9k
Jean S. Campbell United States 46 3.3k 0.6× 788 0.6× 1.2k 1.1× 1.6k 1.6× 693 1.0× 110 7.4k
Fiona L. Scott United States 30 4.0k 0.7× 1.3k 1.0× 751 0.7× 900 0.9× 550 0.8× 46 5.5k
Jean‐Ehrland Ricci France 37 4.8k 0.9× 1.3k 1.0× 794 0.7× 1.4k 1.4× 1.5k 2.2× 86 7.1k
Silvano Capitani Italy 51 4.8k 0.9× 1.6k 1.2× 1.3k 1.2× 737 0.7× 711 1.1× 262 7.9k

Countries citing papers authored by Grant Dewson

Since Specialization
Citations

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

Fields of papers citing papers by Grant Dewson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Dewson

This figure shows the co-authorship network connecting the top 25 collaborators of Grant Dewson. A scholar is included among the top collaborators of Grant Dewson 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 Grant Dewson. Grant Dewson 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.
Gan, Zhong Yan, Sylvie Callegari, Thanh Ngoc Nguyen, et al.. (2024). Interaction of PINK1 with nucleotides and kinetin. Science Advances. 10(3). eadj7408–eadj7408. 7 indexed citations
2.
Dewson, Grant, et al.. (2024). Mitochondria and cell death. Nature Cell Biology. 26(9). 1434–1446. 171 indexed citations breakdown →
3.
Delft, Mark F. van, Xiang Li, Brian J. Smith, et al.. (2024). Key residues in the VDAC2-BAK complex can be targeted to modulate apoptosis. PLoS Biology. 22(5). e3002617–e3002617. 2 indexed citations
4.
Frank, Daniel, Maria Bergamasco, Michael J. Mlodzianoski, et al.. (2023). Trabid patient mutations impede the axonal trafficking of adenomatous polyposis coli to disrupt neurite growth. eLife. 12.
5.
Dewson, Grant, Pieter J.A. Eichhorn, & David Komander. (2023). Deubiquitinases in cancer. Nature reviews. Cancer. 23(12). 842–862. 149 indexed citations breakdown →
6.
Gan, Zhong Yan, Sylvie Callegari, Simon A. Cobbold, et al.. (2021). Activation mechanism of PINK1. Nature. 602(7896). 328–335. 117 indexed citations
7.
Birkinshaw, Richard W., Sweta Iyer, Daisy Lio, et al.. (2021). Structure of detergent-activated BAK dimers derived from the inert monomer. Molecular Cell. 81(10). 2123–2134.e5. 27 indexed citations
8.
Delft, Mark F. van, et al.. (2021). Too much death can kill you: inhibiting intrinsic apoptosis to treat disease. The EMBO Journal. 40(14). e107341–e107341. 45 indexed citations
9.
Iyer, Sweta, Rachel T. Uren, Michael A. Dengler, et al.. (2020). Robust autoactivation for apoptosis by BAK but not BAX highlights BAK as an important therapeutic target. Cell Death and Disease. 11(4). 268–268. 28 indexed citations
10.
Cowan, Angus D., Nicholas A. Smith, Jarrod J. Sandow, et al.. (2020). BAK core dimers bind lipids and can be bridged by them. Nature Structural & Molecular Biology. 27(11). 1024–1031. 47 indexed citations
11.
Teh, Charis E., Alissa K. Robbins, Darren C. Henstridge, et al.. (2020). MCL-1 is essential for survival but dispensable for metabolic fitness of FOXP3+ regulatory T cells. Cell Death and Differentiation. 27(12). 3374–3385. 2 indexed citations
12.
Brennan, Margs S., Catherine Chang, Lin Tai, et al.. (2018). Humanized Mcl-1 mice enable accurate preclinical evaluation of MCL-1 inhibitors destined for clinical use. Blood. 132(15). 1573–1583. 66 indexed citations
13.
Uren, Rachel T., Martin O’Hely, Sweta Iyer, et al.. (2017). Disordered clusters of Bak dimers rupture mitochondria during apoptosis. eLife. 6. 82 indexed citations
14.
Coffey, Michael, Brad E. Sleebs, Alessandro D. Uboldi, et al.. (2015). An aspartyl protease defines a novel pathway for export of Toxoplasma proteins into the host cell. eLife. 4. 83 indexed citations
15.
Brouwer, Jason M., Dana Westphal, Grant Dewson, et al.. (2014). Bak Core and Latch Domains Separate during Activation, and Freed Core Domains Form Symmetric Homodimers. Molecular Cell. 55(6). 938–946. 128 indexed citations
16.
Bartolo, Ray C., et al.. (2013). Bak apoptotic function is not directly regulated by phosphorylation. Cell Death and Disease. 4(1). e452–e452. 12 indexed citations
17.
Dewson, Grant, Stephen Ma, Colin Hockings, et al.. (2011). Bax dimerizes via a symmetric BH3:groove interface during apoptosis. Cell Death and Differentiation. 19(4). 661–670. 149 indexed citations
18.
Westphal, Dana, Grant Dewson, Peter E. Czabotar, & Ruth M. Kluck. (2010). Molecular biology of Bax and Bak activation and action. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(4). 521–531. 430 indexed citations
19.
Huntington, Nicholas D., Hamsa Puthalakath, Edwina Naik, et al.. (2007). Interleukin 15–mediated survival of natural killer cells is determined by interactions among Bim, Noxa and Mcl-1. Nature Immunology. 8(8). 856–863. 216 indexed citations
20.
Dewson, Grant, Edward C. Conley, & Peter Bradding. (2002). Multigene family isoform profiling from blood cell lineages. BMC Genomics. 3(1). 22–22. 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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