Kimberly Scearce‐Levie
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 17
- Neurotransmitter Receptor Influence on Behavior 10
- Physiology top 0.5%
- Alzheimer's disease research and treatments 20
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Biological Psychiatry top 2%
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases 5
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- Receptor Mechanisms and Signaling 10
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- Computational Drug Discovery Methods 7
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- Neuroendocrine regulation and behavior 5
- Co-authors
- Lennart MuckeJorge J. PalopHertzel C. GersteinIrene H. ChengTiffany WuGui-Qiu YuFengrong YanErik D. Roberson
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Kimberly Scearce‐Levie
55 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cellular and Molecular Neuroscience 2.1k
- Physiology 3.0k
- Neurology 896
- Biological Psychiatry 248
- Pharmacology 974
Countries citing papers authored by Kimberly Scearce‐Levie
This map shows the geographic impact of Kimberly Scearce‐Levie'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 Kimberly Scearce‐Levie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Scearce‐Levie more than expected).
Fields of papers citing papers by Kimberly Scearce‐Levie
This network shows the impact of papers produced by Kimberly Scearce‐Levie. 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 Kimberly Scearce‐Levie. The network helps show where Kimberly Scearce‐Levie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kimberly Scearce‐Levie, 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 | 2020 | 76 | |
| 2 | 2019 | 20 | |
| 3 | 2017 | 48 | |
| 4 | 2016 | 68 | |
| 5 | 2015 | 31 | |
| 6 | 2014 | 19 | |
| 7 | 2013 | 44 | |
| 8 | 2013 | 17 | |
| 9 | 2013 | 93 | |
| 10 | 2010 | 17 | |
| 11 | 2006 | 215 | |
| 12 | 2005 | 265 | |
| 13 | 2003 | 18 | |
| 14 | 2002 | 5 | |
| 15 | 2000 | 31 | |
| 16 | 2000 | 73 | |
| 17 | 1999 | 75 | |
| 18 | 1999 | 49 | |
| 19 | 1998 | 31 | |
| 20 | 1997 | 105 |
About Kimberly Scearce‐Levie
Kimberly Scearce‐Levie is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Neurology, having authored 55 papers that have together received 5.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Neuroscience and Neuropharmacology Research (17 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Computational Drug Discovery Methods (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Physiology (3.0k citations) and Neurology (896 citations). Kimberly Scearce‐Levie has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Lennart Mucke, Jorge J. Palop, Hertzel C. Gerstein, Irene H. Cheng, Tiffany Wu, Gui-Qiu Yu, Fengrong Yan, Erik D. Roberson, René Hen and Nga Bien‐Ly.
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.