Deborah R. McCarty

961 citations
12 papers · 815 indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (4 papers)Neuropeptides and Animal Physiology (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (2 papers)

In The Last Decade

Deborah R. McCarty

12 papers receiving 797 citations

Peers

Deborah R. McCarty
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 499
  • Molecular Biology 370
  • Cell Biology 135
  • Psychiatry and Mental health 122
  • Physiology 102
Replace Karin Schmuck with:
Karin Schmuck Switzerland
Laura B. Kozell United States
E. Doucet France
B Tabakoff United States
Marco I. González United States
Doris Peter United States
Natália Gindri Fiorenza Brazil
Ning-Sheng Cai United States
M Raiteri Italy
M Bertolino United States
Deborah R. McCarty relative to Karin Schmuck Switzerland Karin Schmuck's profile →
Citations per field
00.5×3.7×
Karin Schmuck · 1×
Citations per year

Countries citing papers authored by Deborah R. McCarty

Since Specialization
Citations

This map shows the geographic impact of Deborah R. McCarty'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 Deborah R. McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah R. McCarty more than expected).

Fields of papers citing papers by Deborah R. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah R. McCarty. 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 Deborah R. McCarty. The network helps show where Deborah R. McCarty may publish in the future.

Co-authorship network of co-authors of Deborah R. McCarty

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 100
2 11
3 15
4 12
5 40
6 203
7 8
8 318
9 9
10 15
11 82
12 2

About Deborah R. McCarty

Deborah R. McCarty is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 12 papers that have together received 815 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neuropeptides and Animal Physiology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (499 citations), Biological Psychiatry (22 citations) and Cell Biology (135 citations). Deborah R. McCarty has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include B M Baron, Matthew D. Linnik, Carrie G. Markgraf, Nelson L. Velayo, Michael P. Johnson, Jack R. Koehl, Paula A. Chmielewski, Jack Elands, Barry W. Siegel and John H. Kehne. Their work appears in journals such as Stroke, Brain Research and Journal of Medicinal 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.

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