Kyle R. Taylor

25 total papers · 2.2k total citations
15 papers, 979 citations indexed

About

Kyle R. Taylor is a scholar working on Sensory Systems, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kyle R. Taylor has authored 15 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sensory Systems, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Kyle R. Taylor's work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Hearing Loss and Rehabilitation (4 papers) and Ear Surgery and Otitis Media (3 papers). Kyle R. Taylor is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (6 papers), Hearing Loss and Rehabilitation (4 papers) and Ear Surgery and Otitis Media (3 papers). Kyle R. Taylor collaborates with scholars based in United States, Netherlands and Australia. Kyle R. Taylor's co-authors include Daniel Visentin, David R. Kelley, Joseph R. Ledsam, Yannis Assael, Pushmeet Kohli, Žiga Avsec, Vikram Agarwal, Agnieszka Grabska‐Barwińska, John Jumper and Adam P. DeLuca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Nature Methods.

In The Last Decade

Kyle R. Taylor

14 papers receiving 957 citations

Hit Papers

Effective gene expression... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Kyle R. Taylor 570 311 142 141 127 15 979
Nicole Dietrich 412 0.7× 174 0.6× 93 0.7× 211 1.5× 24 0.2× 14 1.1k
Jaap Oostrik 514 0.9× 680 2.2× 175 1.2× 76 0.5× 171 1.3× 34 956
Déborah Scheffer 527 0.9× 545 1.8× 45 0.3× 128 0.9× 147 1.2× 14 955
Agnieszka Rzadzinska 715 1.3× 548 1.8× 57 0.4× 114 0.8× 127 1.0× 20 1.2k
Charles Askew 606 1.1× 745 2.4× 114 0.8× 170 1.2× 247 1.9× 16 1.1k
Matías Morin 527 0.9× 260 0.8× 41 0.3× 82 0.6× 59 0.5× 27 852
Xue-Zhong Liu 519 0.9× 475 1.5× 201 1.4× 57 0.4× 107 0.8× 17 941
Lindsey May 283 0.5× 565 1.8× 133 0.9× 18 0.1× 66 0.5× 22 852
Asadollah Aghaie 638 1.1× 403 1.3× 69 0.5× 76 0.5× 97 0.8× 16 900
Ann‐Marie Mallon 851 1.5× 63 0.2× 15 0.1× 270 1.9× 31 0.2× 44 1.2k

Countries citing papers authored by Kyle R. Taylor

Since Specialization
Citations

This map shows the geographic impact of Kyle 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 Kyle 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 Kyle R. Taylor more than expected).

Fields of papers citing papers by Kyle R. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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