Denise Dunn

2.3k citations
17 papers · 1.7k · 1 hit paper · h-index 15

Impact in

Papers in

Denise Dunn

16 papers receiving 1.7k citations

Denise Dunn's Hit Papers

Ferrostatins Inhibit Oxidative Lipid Damage and Cell Death in Diverse Disease Models 2014 · 872 citations
8720+4+8Years since publication250500750

Peers

Denise Dunn
Comparison fields: 5 of 97
  • Cancer Research 565
  • Pulmonary and Respiratory Medicine 780
  • Molecular Biology 1000
  • Oncology 287
  • Cellular and Molecular Neuroscience 183
Replace Jing Ni with:
Jing Ni United States
Vladislav O. Sviderskiy United States
Xinqun Li United States
Roch‐Philippe Charles Switzerland
Delphine Gomez United States
Xingcong Ren United States
Shu‐Heng Jiang China
Brian T. Kawasaki United States
Denise Dunn relative to Jing Ni United States Jing Ni's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Denise Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Denise Dunn Line = papers co-authored together Denise Dunn links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Ferrostatins Inhibit Oxidative Lipid Damage and Cell Death in Diverse Disease Models
Hit paper breakdown →
2014872
2 2020216
3 2019139
4 200895
5 201585
6 201150
7 201639
8 201436
9 201130
10 201025
11 201725
12 201724
13 201124
14 201916
15 201616
16 20228
17 20250

About Denise Dunn

Denise Dunn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Genetics, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA modifications and cancer (3 papers), Mitochondrial Function and Pathology (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Fungal and yeast genetics research (2 papers), Ferroptosis and cancer prognosis (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Cancer Research (565 citations), Pulmonary and Respiratory Medicine (780 citations), Molecular Biology (1000 citations), Oncology (287 citations) and Cellular and Molecular Neuroscience (183 citations). Denise Dunn has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Donald C. Lo, Brent R. Stockwell, Marina Orman, Joel M. Weinberg, Andreas Linkermann, Jianlin Wang, Rachid Skouta, Kaoru Shimada, Paul A. Rosenberg and Scott J. Dixon. Their work appears in journals such as Human Molecular Genetics, Journal of Neuroscience, Molecular Therapy — Oncolytics, Scientific Reports and Journal of the American Chemical Society.

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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