Danielle Morrow

13 papers receiving 356 citations

Danielle Morrow's Hit Papers

CDKN2A deletion remodels lipid metabolism to prime glioblastoma for ferroptosis 2023 · 102 citations
1020+1+2Years since publication255075100

Peers

Danielle Morrow
Comparison fields: 5 of 64
  • Behavioral Neuroscience 33
  • Cellular and Molecular Neuroscience 157
  • Cancer Research 70
  • Neurology 27
  • Molecular Biology 197
Replace Oleksii Nikolaienko with:
Oleksii Nikolaienko Ukraine
Angel Y.F. Kam United States
Joo In Jung United States
Marta Gritti Italy
Laurie R. Earls United States
Emilia Rejmak Poland
Mitsushi Ikemoto Japan
Jan Paul Buschdorf Singapore
E. Edwards United States
Taasin Srivastava United States
Danielle Morrow relative to Oleksii Nikolaienko Ukraine Oleksii Nikolaienko's profile →
Citations per field
00.5×3.3×
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 →
2023102
2 201577
3 201643
4 202341
5 201429
6 201613
7 201411
8 201410
9 20229
10 20209
11 20218
12 20215
13 20231

About Danielle Morrow

Danielle Morrow is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Behavioral Neuroscience and Physiology, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer, Lipids, 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 Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (33 citations), Cellular and Molecular Neuroscience (157 citations), Cancer Research (70 citations), Neurology (27 citations) and Molecular Biology (197 citations). Danielle Morrow has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Stephen J. Moss, Tarek Z. Deeb, David A. Nathanson, A. Leslie Morrow, Todd K. O’Buckley, Antoniette M. Maldonado‐Devincci, Steven J. Bensinger, Anthony E. Jones, Linda M. Liau and Timothy F. Cloughesy. Their work appears in journals such as Journal of Biological Chemistry, Neurosurgery Clinics of North America, NeuroImage Clinical, Frontiers in Cellular Neuroscience 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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