Kimberly Scearce‐Levie

10.5k citations
55 papers · 5.8k indexed · 1 hit paper · h-index 35
Topics
Alzheimer's disease research and treatments (20 papers)Neuroscience and Neuropharmacology Research (17 papers)Neurotransmitter Receptor Influence on Behavior (10 papers)

In The Last Decade

Kimberly Scearce‐Levie

55 papers receiving 5.6k citations

Hit Papers

Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Def...2007202620132019200750010001.5k

Peers

Kimberly Scearce‐Levie
Comparison fields: 5 of 137
  • Physiology 3.0k
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 2.1k
  • Pharmacology 974
  • Neurology 896
Replace Christian Czech with:
Christian Czech Switzerland
Michal Novák Slovakia
Yasuji Matsuoka United States
Takeshi Kawarabayashi Japan
Kelly T. Dineley United States
Nikolaos K. Robakis United States
Haakon B. Nygaard United States
Ayae Kinoshita Japan
Jill Richardson United Kingdom
Gui-Qiu Yu United States
Kimberly Scearce‐Levie relative to Christian Czech Switzerland Christian Czech's profile →
Citations per field
00.5×1.6×
Christian Czech · 1×
Citations per year

Countries citing papers authored by Kimberly Scearce‐Levie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kimberly Scearce‐Levie

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Scearce‐Levie. A scholar is included among the top collaborators of Kimberly Scearce‐Levie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimberly Scearce‐Levie. Kimberly Scearce‐Levie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 76
2 20
3 48
4 68
5 31
6 19
7 44
8 17
9 93
10 17
11 215
12 265
13 18
14 5
15 31
16 73
17 75
18 49
19 31
20 105

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) and Neurotransmitter Receptor Influence on Behavior (10 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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