Grace Woodruff
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 5%
Papers in
-
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 3
- Receptor Mechanisms and Signaling 2
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Lawrence S.B. Goldstein (8 shared papers)Jessica E. Young (4 shared papers)Shauna H. Yuan (3 shared papers)Floyd Buen (2 shared papers)Sol M. Reyna (4 shared papers)Matthew A. Hunt (2 shared papers)Mark H. Tuszynski (2 shared papers)Gunnar Poplawski (2 shared papers)
- Journals
- Cell Reports (2 papers)PLoS ONE (2 papers)Pharmacological Research (1 paper)Neurotherapeutics (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Grace Woodruff
15 papers receiving 971 citations
Peers
Comparison fields: 5 of 68
- Developmental Neuroscience 199
- Aging 44
- Cellular and Molecular Neuroscience 360
- Physiology 277
- Pathology and Forensic Medicine 123
Countries citing papers authored by Grace Woodruff
This map shows the geographic impact of Grace Woodruff'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 Grace Woodruff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Woodruff more than expected).
Fields of papers citing papers by Grace Woodruff
This network shows the impact of papers produced by Grace Woodruff. 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 Grace Woodruff. The network helps show where Grace Woodruff may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Woodruff, 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 | 2014 | 276 | |
| 2 | 2013 | 151 | |
| 3 | 2015 | 123 | |
| 4 | 2016 | 79 | |
| 5 | 2014 | 74 | |
| 6 | 2017 | 55 | |
| 7 | 2018 | 49 | |
| 8 | 2018 | 36 | |
| 9 | 2018 | 34 | |
| 10 | 2011 | 34 | |
| 11 | 2020 | 28 | |
| 12 | 2014 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2009 | 8 | |
| 15 | 2023 | 2 |
About Grace Woodruff
Grace Woodruff is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Biomedical Engineering and Pharmacology, having authored 15 papers that have together received 978 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (4 papers), 3D Printing in Biomedical Research (3 papers), RNA Research and Splicing (3 papers), Cannabis and Cannabinoid Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (199 citations), Aging (44 citations), Cellular and Molecular Neuroscience (360 citations), Physiology (277 citations) and Pathology and Forensic Medicine (123 citations). Grace Woodruff has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Lawrence S.B. Goldstein, Jessica E. Young, Shauna H. Yuan, Floyd Buen, Sol M. Reyna, Matthew A. Hunt, Mark H. Tuszynski, Gunnar Poplawski, Paul Lu and Yaozhi Wang. Their work appears in journals such as Cell Reports, PLoS ONE, Pharmacological Research, Neurotherapeutics and Molecular Pharmacology.
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.