Kyle J. Gerber
Impact in
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- Stress Responses and Cortisol
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- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 3
- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
- Protein Tyrosine Phosphatases 1
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- John R. Hepler (6 shared papers)Katherine E. Squires (4 shared papers)Shannon L. Gourley (1 shared paper)Kerry J. Ressler (1 shared paper)Kelsey S. Zimmermann (1 shared paper)Ryan G. Parsons (1 shared paper)Eric B. Dammer (2 shared papers)Duc M. Duong (2 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Proteome Research (2 papers)OncoImmunology (1 paper)Brain Structure and Function (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United States
In The Last Decade
Kyle J. Gerber
8 papers receiving 210 citations
Peers
Comparison fields: 5 of 53
- Behavioral Neuroscience 21
- Cellular and Molecular Neuroscience 87
- Biological Psychiatry 10
- Developmental Neuroscience 11
- Molecular Biology 127
Countries citing papers authored by Kyle J. Gerber
This map shows the geographic impact of Kyle J. Gerber'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 Kyle J. Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle J. Gerber more than expected).
Fields of papers citing papers by Kyle J. Gerber
This network shows the impact of papers produced by Kyle J. Gerber. 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 Kyle J. Gerber. The network helps show where Kyle J. Gerber may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle J. Gerber, 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 | 2015 | 91 | |
| 2 | 2017 | 31 | |
| 3 | 2017 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2019 | 14 | |
| 6 | 2018 | 14 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 9 |
About Kyle J. Gerber
Kyle J. Gerber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 211 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Ubiquitin and proteasome pathways (1 paper), 14-3-3 protein interactions (1 paper), Neuroendocrine regulation and behavior (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Behavioral Neuroscience (21 citations), Cellular and Molecular Neuroscience (87 citations), Biological Psychiatry (10 citations), Developmental Neuroscience (11 citations) and Molecular Biology (127 citations). Kyle J. Gerber has collaborated with scholars based in United States. Frequent co-authors include John R. Hepler, Katherine E. Squires, Shannon L. Gourley, Kerry J. Ressler, Kelsey S. Zimmermann, Ryan G. Parsons, Eric B. Dammer, Duc M. Duong, Serena M. Dudek and Yoland Smith. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteome Research, OncoImmunology, Brain Structure and Function 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.