Karren Hyde
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
-
- Cellular transport and secretion
Papers in
-
- Receptor Mechanisms and Signaling 8
- Lipid Membrane Structure and Behavior 3
- Protein Kinase Regulation and GTPase Signaling 3
- Ion channel regulation and function 1
- Machine Learning in Bioinformatics 1
-
- Cellular transport and secretion 6
- Co-authors
- Heidi E. Hamm (9 shared papers)Zafiroula Georgoussi (1 shared paper)Zack Zurawski (4 shared papers)Simon Alford (4 shared papers)Hui‐Chen Hsu (1 shared paper)Shaohua Yu (1 shared paper)Grier P. Page (1 shared paper)David B. Allison (1 shared paper)
- Journals
- Biochemistry (2 papers)Molecular Pharmacology (2 papers)Science Signaling (2 papers)Scientific Reports (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyGreece
In The Last Decade
Karren Hyde
11 papers receiving 348 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 132
- Cell Biology 81
- Molecular Biology 274
- Aging 3
- Immunology and Allergy 10
Countries citing papers authored by Karren Hyde
This map shows the geographic impact of Karren Hyde'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 Karren Hyde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karren Hyde more than expected).
Fields of papers citing papers by Karren Hyde
This network shows the impact of papers produced by Karren Hyde. 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 Karren Hyde. The network helps show where Karren Hyde may publish in the future.
Co-authors
The 25 scholars most cited alongside Karren Hyde, 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 | 2005 | 86 | |
| 2 | 2004 | 63 | |
| 3 | 2018 | 56 | |
| 4 | 2015 | 27 | |
| 5 | 2012 | 27 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 23 | |
| 8 | 2014 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2021 | 3 |
About Karren Hyde
Karren Hyde is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 349 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Pancreatic function and diabetes (1 paper), Ion channel regulation and function (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (132 citations), Cell Biology (81 citations), Molecular Biology (274 citations), Aging (3 citations) and Immunology and Allergy (10 citations). Karren Hyde has collaborated with scholars based in United States, Germany and Greece. Frequent co-authors include Heidi E. Hamm, Zafiroula Georgoussi, Zack Zurawski, Simon Alford, Hui‐Chen Hsu, Shaohua Yu, Grier P. Page, David B. Allison, Juling Zhou and John D. Mountz. Their work appears in journals such as Biochemistry, Molecular Pharmacology, Science Signaling, Scientific Reports and Journal of Biological Chemistry.
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.