Danielle Dewar‐Darch

973 total citations · 1 hit paper
9 papers, 733 citations indexed

About

Danielle Dewar‐Darch is a scholar working on Geriatrics and Gerontology, Molecular Biology and Epidemiology. According to data from OpenAlex, Danielle Dewar‐Darch has authored 9 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geriatrics and Gerontology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Danielle Dewar‐Darch's work include Sirtuins and Resveratrol in Medicine (6 papers), Autophagy in Disease and Therapy (4 papers) and Adipose Tissue and Metabolism (2 papers). Danielle Dewar‐Darch is often cited by papers focused on Sirtuins and Resveratrol in Medicine (6 papers), Autophagy in Disease and Therapy (4 papers) and Adipose Tissue and Metabolism (2 papers). Danielle Dewar‐Darch collaborates with scholars based in Canada and United States. Danielle Dewar‐Darch's co-authors include Mike Tyers, Zhen-Yuan Lin, Chris Stark, Jeffrey R. Sharom, Zhaohui Qin, Guomin Liu, Teresa Reguly, Alexey I. Nesvizhskii, Lorrie Boucher and Victor Neduva and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Danielle Dewar‐Darch

9 papers receiving 728 citations

Hit Papers

A Global Protein Kinase and Phosphatase Interaction Netwo... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Dewar‐Darch Canada 7 563 164 86 79 79 9 733
Yu-Yi Lin Taiwan 10 625 1.1× 62 0.4× 27 0.3× 84 1.1× 77 1.0× 18 966
Tine Skovgaard Denmark 8 483 0.9× 64 0.4× 44 0.5× 110 1.4× 69 0.9× 12 650
Michael P. Cusack United States 8 691 1.2× 92 0.6× 206 2.4× 176 2.2× 104 1.3× 8 1000
Zheng Ser Singapore 11 567 1.0× 88 0.5× 98 1.1× 10 0.1× 38 0.5× 26 768
Jin-ying Lu United States 7 526 0.9× 54 0.3× 26 0.3× 84 1.1× 61 0.8× 7 616
Pasquale Zizza Italy 22 847 1.5× 104 0.6× 11 0.1× 90 1.1× 81 1.0× 44 1.1k
Christoph F. Kurat Canada 15 1.2k 2.1× 252 1.5× 27 0.3× 13 0.2× 52 0.7× 21 1.4k
Matteo Barberis Netherlands 16 558 1.0× 147 0.9× 12 0.1× 20 0.3× 25 0.3× 51 758
Heejun Hwang South Korea 7 462 0.8× 57 0.3× 35 0.4× 8 0.1× 37 0.5× 9 649
Safia Thaminy Switzerland 9 530 0.9× 153 0.9× 89 1.0× 6 0.1× 37 0.5× 9 684

Countries citing papers authored by Danielle Dewar‐Darch

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Dewar‐Darch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Dewar‐Darch. 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 Danielle Dewar‐Darch. The network helps show where Danielle Dewar‐Darch may publish in the future.

Co-authorship network of co-authors of Danielle Dewar‐Darch

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

All Works

9 of 9 papers shown
1.
Clark-Knowles, Katherine V., Danielle Dewar‐Darch, Karen Jardine, et al.. (2018). Modulating SIRT1 activity variously affects thymic lymphoma development in mice. Experimental Cell Research. 371(1). 83–91. 1 indexed citations
2.
Clark-Knowles, Katherine V., Xiaohong He, Karen Jardine, et al.. (2017). Reversible modulation of SIRT1 activity in a mouse strain. PLoS ONE. 12(3). e0173002–e0173002. 6 indexed citations
3.
Qu, Dianbo, Ali Hage, En Huang, et al.. (2015). BAG2 Gene-mediated Regulation of PINK1 Protein Is Critical for Mitochondrial Translocation of PARKIN and Neuronal Survival. Journal of Biological Chemistry. 290(51). 30441–30452. 54 indexed citations
4.
Clark-Knowles, Katherine V., Danielle Dewar‐Darch, Karen Jardine, & Michael W. McBurney. (2014). Modulation of Tumorigenesis by Dietary Intervention Is Not Mediated by SIRT1 Catalytic Activity. PLoS ONE. 9(11). e112406–e112406. 2 indexed citations
5.
Clark-Knowles, Katherine V., Danielle Dewar‐Darch, Karen Jardine, & Michael W. McBurney. (2013). SIRT1 Catalytic Activity Has Little Effect on Tumor Formation and Metastases in a Mouse Model of Breast Cancer. PLoS ONE. 8(11). e82106–e82106. 11 indexed citations
6.
Caron, Annabelle Z., Xiaohong He, Walid Mottawea, et al.. (2013). The SIRT1 deacetylase protects mice against the symptoms of metabolic syndrome. The FASEB Journal. 28(3). 1306–1316. 65 indexed citations
7.
Seifert, Erin L., Annabelle Z. Caron, Josée Coulombe, et al.. (2011). SirT1 catalytic activity is required for male fertility and metabolic homeostasis in mice. The FASEB Journal. 26(2). 555–566. 51 indexed citations
8.
Breitkreutz, Ashton, Hyungwon Choi, Jeffrey R. Sharom, et al.. (2010). A Global Protein Kinase and Phosphatase Interaction Network in Yeast. Science. 328(5981). 1043–1046. 512 indexed citations breakdown →
9.
Betel, Doron, Kevin E. Breitkreuz, Ruth Isserlin, et al.. (2007). Structure-Templated Predictions of Novel Protein Interactions from Sequence Information. PLoS Computational Biology. 3(9). e182–e182. 31 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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