Danielle Morrow

14 papers receiving 561 citations

Danielle Morrow's Hit Papers

CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis 2023 · 141 citations
1410+1+2Years since publication4080120

Peers

Danielle Morrow
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 157
  • Behavioral Neuroscience 22
  • Pulmonary and Respiratory Medicine 125
  • Genetics 35
  • Cancer Research 47
Replace Lina Vardouli with:
Lina Vardouli Greece
Roberta Epis Italy
Chadwick M. Mullins United States
Qin Fang China
Mieke Verslegers Belgium
Melanie J. Grubisha United States
Erica A. K. DePasquale United States
Shenglian Yang China
Mitchell H. Omar United States
Il‐Sun Kwon United States
Danielle Morrow relative to Lina Vardouli Greece Lina Vardouli's profile →
Citations per field
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Lina Vardouli · 1×
Citations per year

Countries citing papers authored by Danielle Morrow

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Morrow, 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 Danielle Morrow Line = papers co-authored together Danielle Morrow links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis
Hit paper breakdown →
2023141
2 201583
3 202274
4 202372
5 201646
6 201743
7 201431
8 201414
9 201614
10 201413
11 202011
12 202211
13 20218
14 20216

About Danielle Morrow

Danielle Morrow is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Genetics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 567 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Stress Responses and Cortisol (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers), Advanced MRI Techniques and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), Epilepsy research and treatment (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (157 citations), Behavioral Neuroscience (22 citations), Pulmonary and Respiratory Medicine (125 citations), Genetics (35 citations) and Cancer Research (47 citations). Danielle Morrow has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David A. Nathanson, Scott J. Dixon, Stephen J. Moss, Anthony E. Jones, Steven J. Bensinger, Tarek Z. Deeb, A. Leslie Morrow, Antoniette M. Maldonado‐Devincci, Todd K. O’Buckley and Linda M. Liau. Their work appears in journals such as Journal of Biological Chemistry, NMR in Biomedicine, Nature Medicine, Neurosurgery Clinics of North America and Journal of Neuroscience.

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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