Denise E. Allen

6 papers receiving 639 citations

Denise E. Allen's Hit Papers

Cell stress in cortical organoids impairs molecular subtype specification 2020 · 381 citations
3810+2+4Years since publication100200300

Peers

Denise E. Allen
Comparison fields: 5 of 77
  • Developmental Neuroscience 169
  • Aging 21
  • Neurology 76
  • Molecular Biology 442
  • Cellular and Molecular Neuroscience 81
Replace Angela Maria Peer with:
Angela Maria Peer Austria
Fátima Sanchís-Calleja Switzerland
Themasap A. Khan United States
Rebecca J. Levy United States
Lilianne Barbar United States
Kristin G. Beaumont United States
Michael Glatza Germany
Silvia Benito-Kwiecinski United Kingdom
Eduardo Ribes Martínez Ireland
Jonas Doerr Germany
Denise E. Allen relative to Angela Maria Peer Austria Angela Maria Peer's profile →
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Angela Maria Peer · 1×
Citations per year

Countries citing papers authored by Denise E. Allen

Since Specialization
Citations

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

Fields of papers citing papers by Denise E. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Cell stress in cortical organoids impairs molecular subtype specification
Hit paper breakdown →
2020381
2 2021117
3 201862
4 202041
5 202241
6 20177

About Denise E. Allen

Denise E. Allen is a scholar working on Molecular Biology, Developmental Neuroscience, Neurology, Cognitive Neuroscience and Genetics, having authored 6 papers that have together received 649 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Barrier Structure and Function Studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), MicroRNA in disease regulation (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Developmental Neuroscience (169 citations), Aging (21 citations), Neurology (76 citations), Molecular Biology (442 citations) and Cellular and Molecular Neuroscience (81 citations). Denise E. Allen has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Tomasz J. Nowakowski, Walter Mancia, David Shin, Galina Schmunk, Alex A. Pollen, Maximilian Haeussler, Madeline G. Andrews, Arnold R. Kriegstein, Dana Jung and Aparna Bhaduri. Their work appears in journals such as Nature, Journal of Mammary Gland Biology and Neoplasia, Stem Cell Reports, Science and Frontiers in Physiology.

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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