Patricia E. McDermott

10 total papers · 713 total citations
10 papers, 559 citations indexed

About

Patricia E. McDermott is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Patricia E. McDermott has authored 10 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 4 papers in Neurology. Recurrent topics in Patricia E. McDermott's work include Nerve injury and regeneration (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Pain Mechanisms and Treatments (3 papers). Patricia E. McDermott is often cited by papers focused on Nerve injury and regeneration (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Pain Mechanisms and Treatments (3 papers). Patricia E. McDermott collaborates with scholars based in United States and France. Patricia E. McDermott's co-authors include Shelley R. Winn, E. Edward Baetge, Dwaine F. Emerich, Beata R. Frydel, Jeffrey H. Kordower, Er‐Yun Chen, Marc Peschanski, Yaping Chu, Philippe Hantraye and Mark D. Lindner and has published in prestigious journals such as Nature, The Journal of Immunology and Pain.

In The Last Decade

Patricia E. McDermott

10 papers receiving 541 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patricia E. McDermott 371 193 140 126 81 10 559
Agneta I. Othberg 315 0.8× 226 1.2× 78 0.6× 240 1.9× 96 1.2× 15 563
Hans R. Widmer 305 0.8× 241 1.2× 125 0.9× 193 1.5× 35 0.4× 20 618
Shaline V. Fazal 420 1.1× 215 1.1× 67 0.5× 186 1.5× 56 0.7× 12 588
Sayuki Takara 312 0.8× 528 2.7× 116 0.8× 112 0.9× 64 0.8× 8 698
Deirdre B. Hoban 283 0.8× 300 1.6× 129 0.9× 101 0.8× 46 0.6× 15 600
Yasuhiro Arakawa 363 1.0× 249 1.3× 71 0.5× 217 1.7× 55 0.7× 7 587
Julia Jungnickel 310 0.8× 252 1.3× 98 0.7× 139 1.1× 52 0.6× 19 565
Scott Vermilyea 258 0.7× 370 1.9× 131 0.9× 112 0.9× 31 0.4× 19 556
Carrie B. Hurelbrink 426 1.1× 355 1.8× 187 1.3× 120 1.0× 55 0.7× 17 666
Caterina Berti 231 0.6× 271 1.4× 154 1.1× 72 0.6× 40 0.5× 26 689

Countries citing papers authored by Patricia E. McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Patricia E. McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia E. McDermott. 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 Patricia E. McDermott. The network helps show where Patricia E. McDermott may publish in the future.

Co-authorship network of co-authors of Patricia E. McDermott

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

All Works

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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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