Darran Yates

317 total papers · 892 total citations
126 papers, 693 citations indexed

About

Darran Yates is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Darran Yates has authored 126 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 33 papers in Cognitive Neuroscience. Recurrent topics in Darran Yates's work include Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). Darran Yates is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). Darran Yates collaborates with scholars based in United States, United Kingdom and Ireland. Darran Yates's co-authors include Adrian J. Wolstenholme, Virginia Portillo, Declan M. McLoughlin, Debra J. Woods, Adrian T. Rogers, Christopher C.J. Miller, Kurt J. De Vos, Catherine Manser, Christopher E. Shaw and Boris Rogelj and has published in prestigious journals such as Nature reviews. Neuroscience, Nature Reviews Drug Discovery and Human Molecular Genetics.

In The Last Decade

Darran Yates

111 papers receiving 677 citations

Author Peers

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

Author						Papers	Cites
Darran Yates	178	138	116	114	102	126	693
Luc Poncelet	142 0.8×	84 0.6×	54 0.5×	89 0.8×	39 0.4×	63	695
Ana Lúcia Brunialti Godard	214 1.2×	120 0.9×	56 0.5×	37 0.3×	123 1.2×	50	633
G. Santamarina	93 0.5×	43 0.3×	26 0.2×	95 0.8×	106 1.0×	35	630
Kurt L. Hoffman	103 0.6×	159 1.2×	39 0.3×	48 0.4×	25 0.2×	51	618
Majid Jafari‐Sabet	164 0.9×	323 2.3×	19 0.2×	27 0.2×	151 1.5×	44	640
J. C. Hwang	119 0.7×	71 0.5×	61 0.5×	25 0.2×	78 0.8×	56	749
Amy Beierschmitt	135 0.8×	41 0.3×	33 0.3×	14 0.1×	164 1.6×	38	572
D. Colette Williams	195 1.1×	91 0.7×	15 0.1×	93 0.8×	47 0.5×	44	749
Evander de Jesus Oliveira Batista	110 0.6×	109 0.8×	60 0.5×	9 0.1×	37 0.4×	33	680
Raymond F. Genovese	98 0.6×	159 1.2×	16 0.1×	19 0.2×	49 0.5×	44	670

Countries citing papers authored by Darran Yates

Since Specialization

Citations

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

Fields of papers citing papers by Darran Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darran Yates. 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 Darran Yates. The network helps show where Darran Yates may publish in the future.

Co-authorship network of co-authors of Darran Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Darran Yates. A scholar is included among the top collaborators of Darran Yates 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 Darran Yates. Darran Yates 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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