Darcie L. Moore
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
-
- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 7
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Jeffrey L. GoldbergMurray G. BlackmoreVance LemmonJohn L. BixbyYing HuKlaus H. KaestnerSebastian JessbergerGregor-Alexander Pilz
- Journals
- Cell stem cell (3 papers)Science (2 papers)Molecular and Cellular Neuroscience (2 papers)Developmental Neurobiology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesSwitzerlandPanama
In The Last Decade
Darcie L. Moore
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Developmental Neuroscience 552
- Cellular and Molecular Neuroscience 676
- Aging 63
- Neurology 121
- Molecular Biology 1.0k
Countries citing papers authored by Darcie L. Moore
This map shows the geographic impact of Darcie L. Moore'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 Darcie L. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darcie L. Moore more than expected).
Fields of papers citing papers by Darcie L. Moore
This network shows the impact of papers produced by Darcie L. Moore. 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 Darcie L. Moore. The network helps show where Darcie L. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Darcie L. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 50 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 68 | |
| 9 | 2020 | 8 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 73 | |
| 12 | 2017 | 237 | |
| 13 | 2016 | 35 | |
| 14 | 2015 | 122 | |
| 15 | 2011 | 147 | |
| 16 | 2011 | 79 | |
| 17 | 2010 | 48 | |
| 18 | 2010 | 91 | |
| 19 | KLF Family Members Regulate Intrinsic Axon Regeneration Ability Hit paper breakdown → | 2009 | 541 |
| 20 | 1986 | 2 |
About Darcie L. Moore
Darcie L. Moore is a scholar working on Developmental Neuroscience, Aging, Cellular and Molecular Neuroscience, Biophysics and Molecular Biology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (6 papers), Kruppel-like factors research (5 papers), Pluripotent Stem Cells Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Mitochondrial Function and Pathology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (552 citations), Cellular and Molecular Neuroscience (676 citations), Aging (63 citations), Neurology (121 citations) and Molecular Biology (1.0k citations). Darcie L. Moore has collaborated with scholars based in United States, Switzerland and Panama. Frequent co-authors include Jeffrey L. Goldberg, Murray G. Blackmore, Vance Lemmon, John L. Bixby, Ying Hu, Klaus H. Kaestner, Sebastian Jessberger, Gregor-Alexander Pilz, Marlen Knobloch and Thomas Wegleiter. Their work appears in journals such as Cell stem cell, Science, Molecular and Cellular Neuroscience, Developmental Neurobiology 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.