Cathryn Kubera

1.6k citations
8 papers · 1.2k indexed · 1 hit paper · h-index 6
Topics
Neuroscience and Neuropharmacology Research (3 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)Polyamine Metabolism and Applications (2 papers)
Partner nations
United States

In The Last Decade

Cathryn Kubera

8 papers receiving 1.2k citations

Hit Papers

Astrocytic Purinergic Signaling Coordinates Synaptic Netw...20052026201220192005250500750

Peers

Cathryn Kubera
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 735
  • Neurology 375
  • Molecular Biology 355
  • Cognitive Neuroscience 237
  • Physiology 234
Replace Elena Pravettoni with:
Elena Pravettoni Italy
Yuri Pankratov United Kingdom
Ronald Jabs Germany
Sónia Guerra‐Gomes Portugal
Oana Chever France
Jeremy Petravicz United States
Maria Kukley Germany
Maria Amalia Di Castro Italy
António Pinto‐Duarte United States
Anastasia Shakirzyanova Russia
Cathryn Kubera relative to Elena Pravettoni Italy Elena Pravettoni's profile →
Citations per field
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Elena Pravettoni · 1×
Citations per year

Countries citing papers authored by Cathryn Kubera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Cathryn Kubera

This figure shows the co-authorship network connecting the top 25 collaborators of Cathryn Kubera. A scholar is included among the top collaborators of Cathryn Kubera 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 Cathryn Kubera. Cathryn Kubera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 12
2 70
3 3
4 64
5 54
6
Astrocytic Purinergic Signaling Coordinates Synaptic Networksbreakdown →
993
7 14
8
Isolation of Two Unknown Genes Potentially Involved in Differentiation of the Hematopoietic Pathway, and Studies of Spermidine/Spermine Acetyltransferase Regulation
1

About Cathryn Kubera

Cathryn Kubera is a scholar working on Developmental Neuroscience, Physiology and Cellular and Molecular Neuroscience, 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) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Physiology (234 citations), Neurology (375 citations) and Developmental Neuroscience (185 citations). Cathryn Kubera has collaborated with scholars based in United States. Frequent co-authors include Ken D. McCarthy, Olivier Pascual, Jing Zhang, Philip G. Haydon, Hajime Takano, Stephen J. Moss, Raquel Revilla-Sanchez, Kristen B. Casper, Angélique Bordey and Fahmeed Hyder. Their work appears in journals such as Science, Journal of Neuroscience and Cancer Research.

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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