Kimberly L. Stark
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- Neurotransmitter Receptor Influence on Behavior 4
- Neuropeptides and Animal Physiology 4
- Neuroscience and Neuropharmacology Research 3
- Behavioral Neuroscience top 2%
- Biological Psychiatry top 5%
- Developmental Neuroscience top 5%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Receptor Mechanisms and Signaling 7
- Congenital heart defects research 6
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- MicroRNA in disease regulation 3
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- Genetics and Neurodevelopmental Disorders 3
- Co-authors
- Joseph A. GogosRené HenMaria KarayiorgouTorfi SigurdssonJoshua A. GordonSylvie RambozRonald S. OostingBin Xu
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Kimberly L. Stark
25 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 1.1k
- Behavioral Neuroscience 208
- Biological Psychiatry 143
- Developmental Neuroscience 161
- Neurology 308
Countries citing papers authored by Kimberly L. Stark
This map shows the geographic impact of Kimberly L. Stark'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 L. Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly L. Stark more than expected).
Fields of papers citing papers by Kimberly L. Stark
This network shows the impact of papers produced by Kimberly L. Stark. 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 L. Stark. The network helps show where Kimberly L. Stark may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kimberly L. Stark, 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 | 2023 | 5 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 159 | |
| 6 | 2020 | 36 | |
| 7 | 2013 | 89 | |
| 8 | 2013 | 112 | |
| 9 | 2011 | 39 | |
| 10 | Impaired hippocampal–prefrontal synchrony in a genetic mouse model of schizophreniabreakdown → | 2010 | 504 |
| 11 | 2010 | 103 | |
| 12 | 2009 | 18 | |
| 13 | 2008 | 210 | |
| 14 | 2008 | 461 | |
| 15 | 2007 | 9 | |
| 16 | Serotonin1A receptor acts during development to establish normal anxiety-like behaviour in the adultbreakdown → | 2002 | 687 |
| 17 | 2002 | 67 | |
| 18 | 1999 | 15 | |
| 19 | 1998 | 18 | |
| 20 | 1998 | 8 |
About Kimberly L. Stark
Kimberly L. Stark is a scholar working on Cellular and Molecular Neuroscience, Neurology and Behavioral Neuroscience, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Congenital heart defects research (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Behavioral Neuroscience (208 citations) and Biological Psychiatry (143 citations). Kimberly L. Stark has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joseph A. Gogos, René Hen, Maria Karayiorgou, Maria Karayiorgou, Torfi Sigurdsson, Joshua A. Gordon, Sylvie Ramboz, Ronald S. Oosting, Bin Xu and Cornelius T. Gross. Their work appears in journals such as Nature, Science and Cell.
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.