Denise Dunn

2.3k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Denise Dunn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Denise Dunn has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Denise Dunn's work include Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Denise Dunn is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Denise Dunn collaborates with scholars based in United States, United Kingdom and Italy. Denise Dunn's co-authors include Donald C. Lo, Brent R. Stockwell, Kaoru Shimada, Joel M. Weinberg, Andreas Linkermann, Jianlin Wang, Paul A. Rosenberg, Rachid Skouta, Marina Orman and Scott J. Dixon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Denise Dunn

16 papers receiving 1.7k citations

Hit Papers

Ferrostatins Inhibit Oxidative Lipid Damage and Cell Deat... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise Dunn United States 15 1000 780 565 287 183 17 1.7k
Jing Ni United States 22 940 0.9× 378 0.5× 282 0.5× 324 1.1× 99 0.5× 37 1.7k
Roch‐Philippe Charles Switzerland 22 1.0k 1.0× 192 0.2× 342 0.6× 447 1.6× 80 0.4× 35 1.9k
Ciro Abbondanza Italy 24 1.9k 1.9× 276 0.4× 344 0.6× 511 1.8× 131 0.7× 56 2.7k
Christopher J. Porter Canada 17 1.7k 1.7× 513 0.7× 838 1.5× 197 0.7× 66 0.4× 30 2.5k
Alfonso Catalano Italy 22 782 0.8× 464 0.6× 272 0.5× 425 1.5× 342 1.9× 27 1.6k
Xuesong Ouyang United States 18 1.3k 1.3× 508 0.7× 333 0.6× 419 1.5× 39 0.2× 28 1.8k
Vladislav O. Sviderskiy United States 8 1.5k 1.5× 672 0.9× 764 1.4× 244 0.9× 48 0.3× 14 2.1k
Nathan M. Krah United States 17 1.1k 1.1× 224 0.3× 260 0.5× 194 0.7× 134 0.7× 21 2.2k

Countries citing papers authored by Denise Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Denise Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Dunn

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

All Works

17 of 17 papers shown
1.
Lin, Chao‐Chieh, Yi-Tzu Lin, Denise Dunn, et al.. (2025). Coenzyme A protects against ferroptosis via CoAlation of mitochondrial thioredoxin reductase. Journal of Clinical Investigation. 135(19).
2.
Satterlee, Andrew, Denise Dunn, Daniel Malawsky, et al.. (2022). Spatiotemporal analysis of induced neural stem cell therapy to overcome advanced glioblastoma recurrence. Molecular Therapy — Oncolytics. 26. 49–62. 8 indexed citations
3.
Venkatesh, Divya, Fereshteh Zandkarimi, David Tong, et al.. (2020). MDM2 and MDMX promote ferroptosis by PPARα-mediated lipid remodeling. Genes & Development. 34(7-8). 526–543. 216 indexed citations
4.
Nehama, Dean, Natalia Di Ianni, Silvia Musio, et al.. (2019). B7-H3-redirected chimeric antigen receptor T cells target glioblastoma and neurospheres. EBioMedicine. 47. 33–43. 139 indexed citations
5.
Satterlee, Andrew, Denise Dunn, Donald C. Lo, Simon Khagi, & Shawn Hingtgen. (2019). Tumoricidal stem cell therapy enables killing in novel hybrid models of heterogeneous glioblastoma. Neuro-Oncology. 21(12). 1552–1564. 16 indexed citations
6.
Khoshnan, Ali, Barbara Calamini, Denise Dunn, et al.. (2017). IKKβ and mutant huntingtin interactions regulate the expression of IL-34: implications for microglial-mediated neurodegeneration in HD. Human Molecular Genetics. 26(21). 4267–4277. 24 indexed citations
7.
Pirhaji, Leila, Pamela Milani, Simona Dalin, et al.. (2017). Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements. Nature Communications. 8(1). 623–623. 25 indexed citations
8.
Kanegan, Michael J. Van, Denise Dunn, Linda S. Kaltenbach, et al.. (2016). Dual activities of the anti-cancer drug candidate PBI-05204 provide neuroprotection in brain slice models for neurodegenerative diseases and stroke. Scientific Reports. 6(1). 25626–25626. 16 indexed citations
9.
Rinkenbaugh, Amanda L., Patricia C. Cogswell, Barbara Calamini, et al.. (2016). IKK/NF-κB signaling contributes to glioblastoma stem cell maintenance. Oncotarget. 7(43). 69173–69187. 39 indexed citations
10.
Kaplan, Anna, Michael M. Gaschler, Denise Dunn, et al.. (2015). Small molecule-induced oxidation of protein disulfide isomerase is neuroprotective. Proceedings of the National Academy of Sciences. 112(17). E2245–52. 85 indexed citations
11.
Skouta, Rachid, Scott J. Dixon, Jianlin Wang, et al.. (2014). Ferrostatins Inhibit Oxidative Lipid Damage and Cell Death in Diverse Disease Models. Journal of the American Chemical Society. 136(12). 4551–4556. 872 indexed citations breakdown →
12.
Kanegan, Michael J. Van, He Dong, Denise Dunn, et al.. (2014). BDNF Mediates Neuroprotection against Oxygen-Glucose Deprivation by the Cardiac Glycoside Oleandrin. Journal of Neuroscience. 34(3). 963–968. 36 indexed citations
13.
Dunn, Denise, He Dong, Peiying Yang, et al.. (2011). In vitro and in vivo neuroprotective activity of the cardiac glycoside oleandrin from Nerium oleander in brain slice‐based stroke models. Journal of Neurochemistry. 119(4). 805–814. 50 indexed citations
14.
Southwell, Amber L., Linda S. Kaltenbach, Denise Dunn, et al.. (2011). Perturbation with Intrabodies Reveals That Calpain Cleavage Is Required for Degradation of Huntingtin Exon 1. PLoS ONE. 6(1). e16676–e16676. 24 indexed citations
15.
Reinhart, Peter H., Linda S. Kaltenbach, Christian Essrich, et al.. (2011). Identification of anti-inflammatory targets for Huntington's disease using a brain slice-based screening assay. Neurobiology of Disease. 43(1). 248–256. 30 indexed citations
16.
Crittenden, Jill R., Denise Dunn, Ben Woodman, et al.. (2010). CalDAG-GEFI down-regulation in the striatum as a neuroprotective change in Huntington's disease. Human Molecular Genetics. 19(9). 1756–1765. 25 indexed citations
17.
Southwell, Amber L., et al.. (2008). Intrabodies Binding the Proline-Rich Domains of Mutant Huntingtin Increase Its Turnover and Reduce Neurotoxicity. Journal of Neuroscience. 28(36). 9013–9020. 95 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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