Cathryn Kubera
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Epigenetics and DNA Methylation 2
- Polyamine Metabolism and Applications 2
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Jing Zhang (1 shared paper)Hajime Takano (1 shared paper)Philip G. Haydon (1 shared paper)Stephen J. Moss (1 shared paper)Kristen B. Casper (1 shared paper)Olivier Pascual (1 shared paper)Ken D. McCarthy (1 shared paper)Raquel Revilla-Sanchez (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Cancer Research (1 paper)International Journal of Developmental Neuroscience (1 paper)The Annals of Thoracic Surgery (1 paper)Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
Cathryn Kubera
8 papers receiving 1.2k citations
Cathryn Kubera's Hit Papers
Peers
Comparison fields: 5 of 71
- Physiology 234
- Neurology 375
- Developmental Neuroscience 185
- Cellular and Molecular Neuroscience 735
- Biological Psychiatry 69
Countries citing papers authored by Cathryn Kubera
This map shows the geographic impact of Cathryn Kubera'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 Cathryn Kubera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathryn Kubera more than expected).
Fields of papers citing papers by Cathryn Kubera
This network shows the impact of papers produced by Cathryn Kubera. 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 Cathryn Kubera. The network helps show where Cathryn Kubera may publish in the future.
Co-authors
The 25 scholars most cited alongside Cathryn Kubera, 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 | Astrocytic Purinergic Signaling Coordinates Synaptic Networks Hit paper breakdown → | 2005 | 993 |
| 2 | 2013 | 70 | |
| 3 | 2012 | 64 | |
| 4 | 2012 | 54 | |
| 5 | 2004 | 14 | |
| 6 | 2013 | 12 | |
| 7 | 2012 | 3 | |
| 8 | Isolation of Two Unknown Genes Potentially Involved in Differentiation of the Hematopoietic Pathway, and Studies of Spermidine/Spermine Acetyltransferase Regulation | 2002 | 1 |
About Cathryn Kubera
Cathryn Kubera is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Pharmacology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Epigenetics and DNA Methylation (2 papers), Polyamine Metabolism and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cardiac and Coronary Surgery Techniques (1 paper), Histiocytic Disorders and Treatments (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Physiology (234 citations), Neurology (375 citations), Developmental Neuroscience (185 citations), Cellular and Molecular Neuroscience (735 citations) and Biological Psychiatry (69 citations). Cathryn Kubera has collaborated with scholars based in United States. Frequent co-authors include Jing Zhang, Hajime Takano, Philip G. Haydon, Stephen J. Moss, Kristen B. Casper, Olivier Pascual, Ken D. McCarthy, Raquel Revilla-Sanchez, Angélique Bordey and Benjamin Lacar. Their work appears in journals such as Journal of Neuroscience, Cancer Research, International Journal of Developmental Neuroscience, The Annals of Thoracic Surgery and Neuroscience.
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.