Sean Coakley

19 total papers · 519 total citations
11 papers, 324 citations indexed

About

Sean Coakley is a scholar working on Cellular and Molecular Neuroscience, Aging and Cell Biology. According to data from OpenAlex, Sean Coakley has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Aging and 4 papers in Cell Biology. Recurrent topics in Sean Coakley's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Nerve injury and regeneration (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Sean Coakley is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Nerve injury and regeneration (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Sean Coakley collaborates with scholars based in Australia, United States and United Kingdom. Sean Coakley's co-authors include Massimo A. Hilliard, Brent Neumann, Hang Lu, Ding Xue, Marc Hammarlund, Rosina Giordano-Santini, Eui Seung Lee, Shin Ae Kim, Hyewon Lee and Akihisa Nakagawa and has published in prestigious journals such as Nature, Nature Communications and Developmental Cell.

In The Last Decade

Sean Coakley

11 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Sean Coakley 159 157 95 67 51 11 324
Strahil Iv. Pastuhov 132 0.8× 138 0.9× 76 0.8× 65 1.0× 32 0.6× 19 297
Rosina Giordano-Santini 137 0.9× 170 1.1× 59 0.6× 52 0.8× 37 0.7× 12 335
Lena M Kutscher 124 0.8× 156 1.0× 23 0.2× 43 0.6× 24 0.5× 9 277
Kerri Spilker 59 0.4× 187 1.2× 75 0.8× 121 1.8× 39 0.8× 11 324
Yuki Tsukada 102 0.6× 169 1.1× 49 0.5× 107 1.6× 40 0.8× 22 341
Muriel Desbois 117 0.7× 165 1.1× 88 0.9× 76 1.1× 28 0.5× 14 301
Renuka Sivapatham 40 0.3× 244 1.6× 78 0.8× 30 0.4× 63 1.2× 10 344
Greg Vatcher 96 0.6× 211 1.3× 56 0.6× 22 0.3× 20 0.4× 14 356
Ye Wu 36 0.2× 184 1.2× 87 0.9× 146 2.2× 21 0.4× 11 343
Nelson J. Ramírez-Suárez 141 0.9× 115 0.7× 86 0.9× 62 0.9× 22 0.4× 10 253

Countries citing papers authored by Sean Coakley

Since Specialization
Citations

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

Fields of papers citing papers by Sean Coakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Coakley

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