Gail K. Seabold

19 total papers · 1.3k total citations
15 papers, 963 citations indexed

About

Gail K. Seabold is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Gail K. Seabold has authored 15 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 4 papers in Developmental Neuroscience. Recurrent topics in Gail K. Seabold's work include Neuroscience and Neuropharmacology Research (13 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cellular transport and secretion (3 papers). Gail K. Seabold is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cellular transport and secretion (3 papers). Gail K. Seabold collaborates with scholars based in United States, France and Russia. Gail K. Seabold's co-authors include Ronald S. Petralia, Veronica A. Alvarez, Robert J. Wenthold, Martin Hořák, Roland Bock, Kai Chang, David M. Lovinger, Yaxian Wang, Changyu Wang and Michael W. Miller and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Gail K. Seabold

14 papers receiving 949 citations

Author Peers

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

Author Last Decade Papers Cites
Gail K. Seabold 674 432 197 160 113 15 963
Yuji Kiyama 706 1.0× 527 1.2× 209 1.1× 166 1.0× 107 0.9× 23 1.0k
Stefano Alberi 646 1.0× 448 1.0× 197 1.0× 171 1.1× 111 1.0× 21 1000
Hiroyuki Ichijo 667 1.0× 521 1.2× 210 1.1× 159 1.0× 87 0.8× 27 1.2k
Henry Matthies 712 1.1× 500 1.2× 272 1.4× 243 1.5× 89 0.8× 12 1.0k
Manja Schubert 658 1.0× 486 1.1× 281 1.4× 124 0.8× 91 0.8× 23 1.2k
Monique Rogard 709 1.1× 632 1.5× 115 0.6× 113 0.7× 86 0.8× 26 1.2k
Xiao-Bo Liu 656 1.0× 395 0.9× 221 1.1× 109 0.7× 198 1.8× 23 1.0k
Inseon Song 751 1.1× 579 1.3× 258 1.3× 118 0.7× 89 0.8× 17 1.2k
Mu Sun 551 0.8× 474 1.1× 144 0.7× 123 0.8× 126 1.1× 26 1.1k
Oleg Senkov 486 0.7× 336 0.8× 136 0.7× 178 1.1× 126 1.1× 20 813

Countries citing papers authored by Gail K. Seabold

Since Specialization
Citations

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

Fields of papers citing papers by Gail K. Seabold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail K. Seabold. 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 Gail K. Seabold. The network helps show where Gail K. Seabold may publish in the future.

Co-authorship network of co-authors of Gail K. Seabold

This figure shows the co-authorship network connecting the top 25 collaborators of Gail K. Seabold. A scholar is included among the top collaborators of Gail K. Seabold 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 Gail K. Seabold. Gail K. Seabold 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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