Sean Coakley

520 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 Photoreceptor and optogenetics research (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 Photoreceptor and optogenetics research (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, Hyewon Lee, Hang Lu, Eui Seung Lee, Ding Xue, Marc Hammarlund, Akihisa Nakagawa, Rosina Giordano-Santini and Shin Ae Kim 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sean Coakley Australia 7 159 157 95 67 51 11 324
Lena M Kutscher Germany 6 126 0.8× 157 1.0× 23 0.2× 43 0.6× 24 0.5× 9 277
Adam Norris United States 11 178 1.1× 329 2.1× 110 1.2× 57 0.9× 18 0.4× 19 434
Muriel Desbois United States 8 118 0.7× 167 1.1× 89 0.9× 77 1.1× 28 0.5× 14 305
Richard O’Laughlin United States 8 94 0.6× 237 1.5× 14 0.1× 17 0.3× 22 0.4× 12 302
Zhao Qin China 8 64 0.4× 311 2.0× 53 0.6× 118 1.8× 18 0.4× 20 407
David Li‐Kroeger United States 11 32 0.2× 294 1.9× 124 1.3× 70 1.0× 56 1.1× 17 483
Anna Zinovyeva United States 10 226 1.4× 381 2.4× 93 1.0× 43 0.6× 38 0.7× 18 563
Hongfei Ji United States 7 154 1.0× 53 0.3× 79 0.8× 18 0.3× 41 0.8× 14 269
Kelly Colombo United States 5 177 1.1× 514 3.3× 205 2.2× 321 4.8× 34 0.7× 5 692
Suzanne E. M. van der Horst Netherlands 6 29 0.2× 188 1.2× 35 0.4× 111 1.7× 17 0.3× 6 280

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

11 of 11 papers shown
1.
Lu, Lili, Ramón Martínez‐Mármol, Hang Lu, et al.. (2025). OSP-1 protects neurons from autophagic cell death induced by acute oxidative stress. Nature Communications. 16(1). 300–300. 1 indexed citations
2.
Coakley, Sean, et al.. (2022). The metalloprotease ADM-4/ADAM17 promotes axonal repair. Science Advances. 8(11). 6 indexed citations
3.
Coakley, Sean, et al.. (2022). Neuron-epidermal attachment protects hyper-fragile axons from mechanical strain. Cell Reports. 38(10). 110501–110501. 5 indexed citations
4.
Li, Tao, et al.. (2022). Dendrites use mechanosensitive channels to proofread ligand-mediated neurite extension during morphogenesis. Developmental Cell. 57(13). 1615–1629.e3. 14 indexed citations
5.
Coakley, Sean, et al.. (2020). Epidermal control of axonal attachment via β-spectrin and the GTPase-activating protein TBC-10 prevents axonal degeneration. Nature Communications. 11(1). 133–133. 12 indexed citations
7.
Neumann, Brent, Sean Coakley, Rosina Giordano-Santini, et al.. (2015). EFF-1-mediated regenerative axonal fusion requires components of the apoptotic pathway. Nature. 517(7533). 219–222. 103 indexed citations
8.
Lee, Hyewon, Shin Ae Kim, Sean Coakley, et al.. (2014). A multi-channel device for high-density target-selective stimulation and long-term monitoring of cells and subcellular features in C. elegans. Lab on a Chip. 14(23). 4513–4522. 45 indexed citations
9.
Williams, Daniel C., Sean Coakley, Shin Ae Kim, et al.. (2013). Rapid and Permanent Neuronal Inactivation In Vivo via Subcellular Generation of Reactive Oxygen with the Use of KillerRed. Cell Reports. 5(2). 553–563. 67 indexed citations
10.
Kirszenblat, Leonie, Brent Neumann, Sean Coakley, & Massimo A. Hilliard. (2012). A dominant mutation inmec-7/β-tubulinaffects axon development and regeneration inCaenorhabditis elegansneurons. Molecular Biology of the Cell. 24(3). 285–296. 38 indexed citations
11.
Zhu, John, Sean Coakley, Mike Holcombe, Sheila MacNeil, & R. H. Smallwood. (2006). Individual cell-based simulation of 3D multicellular spheroid self-assembly. 3 indexed citations

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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