Danielle Morrow

627 citations
13 papers · 399 · 1 hit paper · h-index 10

Impact in

Papers in

Danielle Morrow

13 papers receiving 398 citations

Danielle Morrow's Hit Papers

CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis 2023 · 121 citations
1210+1+2Years since publication4080120

Peers

Danielle Morrow
Comparison fields: 5 of 66
  • Behavioral Neuroscience 32
  • Cellular and Molecular Neuroscience 160
  • Cancer Research 66
  • Neurology 25
  • Molecular Biology 193
Replace Oleksii Nikolaienko with:
Oleksii Nikolaienko Ukraine
Zhican Qu United States
Angel Y.F. Kam United States
Jan Paul Buschdorf Singapore
Emilia Rejmak Poland
Kiyomi Y. Araki United States
Joo In Jung United States
Chiara Carone Italy
An Liu China
Marta Gritti Italy
Danielle Morrow relative to Oleksii Nikolaienko Ukraine Oleksii Nikolaienko's profile →
Citations per field
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Oleksii Nikolaienko · 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

13 of 13 papers shown
#Work
1
CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis
Hit paper breakdown →
2023121
2 201581
3 202350
4 201643
5 201430
6 201414
7 201613
8 201412
9 202211
10 202010
11 20218
12 20215
13 20231

About Danielle Morrow

Danielle Morrow is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Physiology and Materials Chemistry, having authored 13 papers that have together received 399 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lanthanide and Transition Metal Complexes (2 papers), RNA modifications and cancer (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Adipose Tissue and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Behavioral Neuroscience (32 citations), Cellular and Molecular Neuroscience (160 citations), Cancer Research (66 citations), Neurology (25 citations) and Molecular Biology (193 citations). Danielle Morrow has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include David A. Nathanson, Stephen J. Moss, Tarek Z. Deeb, A. Leslie Morrow, Antoniette M. Maldonado‐Devincci, Todd K. O’Buckley, Anthony E. Jones, Steven J. Bensinger, Timothy F. Cloughesy and Linda M. Liau. Their work appears in journals such as Journal of Biological Chemistry, NeuroImage Clinical, Frontiers in Cellular Neuroscience, Neurosurgery Clinics of North America and Neuropsychopharmacology.

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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