Seth R. Taylor

52 total papers · 2.8k total citations
27 papers, 1.2k citations indexed

About

Seth R. Taylor is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seth R. Taylor has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Aging and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seth R. Taylor's work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Seth R. Taylor is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Seth R. Taylor collaborates with scholars based in United States, Italy and United Kingdom. Seth R. Taylor's co-authors include Marina R. Picciotto, Ronald S. Duman, Eric S. Wohleb, Danielle M. Gerhard, Charles A. Greer, Min Wu, Marion Richard, Raad Nashmi, Xiaoyuan Li and Sylvia Badurek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Seth R. Taylor

24 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Seth R. Taylor 672 418 266 247 196 27 1.2k
Toshiharu Shimazaki 728 1.1× 390 0.9× 335 1.3× 295 1.2× 151 0.8× 31 1.2k
Puja K. Parekh 532 0.8× 287 0.7× 290 1.1× 236 1.0× 300 1.5× 25 1.5k
Nora Laaris 983 1.5× 363 0.9× 88 0.3× 269 1.1× 304 1.6× 23 1.4k
Eliza Koroś 693 1.0× 346 0.8× 83 0.3× 103 0.4× 247 1.3× 37 1.1k
Victor M. Luna 699 1.0× 241 0.6× 193 0.7× 97 0.4× 496 2.5× 25 1.5k
Plínio Casarotto 536 0.8× 201 0.5× 236 0.9× 364 1.5× 170 0.9× 46 1.1k
Takao Yoshimizu 530 0.8× 575 1.4× 204 0.8× 178 0.7× 115 0.6× 19 1.2k
Ashlee Van’t Veer 637 0.9× 419 1.0× 94 0.4× 89 0.4× 170 0.9× 16 1.1k
Karin Agerman 649 1.0× 256 0.6× 149 0.6× 116 0.5× 170 0.9× 18 1.2k
Richard McQuade 791 1.2× 430 1.0× 135 0.5× 154 0.6× 225 1.1× 42 1.3k

Countries citing papers authored by Seth R. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Seth R. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth R. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Seth R. Taylor. A scholar is included among the top collaborators of Seth R. Taylor 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 Seth R. Taylor. Seth R. Taylor 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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