Eleanor T. Coffey

3.9k total citations
61 papers, 3.1k citations indexed

About

Eleanor T. Coffey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Eleanor T. Coffey has authored 61 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 23 papers in Cell Biology. Recurrent topics in Eleanor T. Coffey's work include Neuroscience and Neuropharmacology Research (16 papers), Melanoma and MAPK Pathways (11 papers) and Microtubule and mitosis dynamics (9 papers). Eleanor T. Coffey is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Melanoma and MAPK Pathways (11 papers) and Microtubule and mitosis dynamics (9 papers). Eleanor T. Coffey collaborates with scholars based in Finland, United States and United Kingdom. Eleanor T. Coffey's co-authors include Michael J. Courtney, Vesa Hongisto, Benny Björkblom, Thomas Herdegen, Patrik Hollós, David G. Nicholls, Jiong Cao, Talvinder S. Sihra, Francesca Marchisella and Karl E.O. Åkerman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Eleanor T. Coffey

61 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleanor T. Coffey Finland 30 1.9k 1.2k 684 314 294 61 3.1k
Esther B. E. Becker United Kingdom 29 2.2k 1.1× 885 0.7× 525 0.8× 220 0.7× 191 0.6× 47 3.4k
Gareth M. Thomas United States 25 2.1k 1.1× 1.6k 1.4× 588 0.9× 205 0.7× 388 1.3× 46 3.3k
Sheng‐Tao Hou Canada 32 1.4k 0.7× 960 0.8× 448 0.7× 262 0.8× 359 1.2× 93 2.9k
Yoji Kawano Japan 27 2.3k 1.2× 1.2k 1.0× 1.2k 1.8× 396 1.3× 389 1.3× 47 4.4k
Mark H. G. Verheijen Netherlands 25 2.4k 1.3× 930 0.8× 439 0.6× 380 1.2× 541 1.8× 52 3.9k
Ursula Boschert United States 30 2.7k 1.4× 1.3k 1.1× 432 0.6× 187 0.6× 271 0.9× 55 4.2k
Shigeki Furuya Japan 30 2.0k 1.1× 837 0.7× 385 0.6× 242 0.8× 499 1.7× 95 3.1k
Monika A. Davare United States 31 2.9k 1.5× 1.6k 1.3× 379 0.6× 309 1.0× 296 1.0× 66 4.3k
Hiroyuki Sakagami Japan 39 3.0k 1.6× 1.7k 1.4× 1.0k 1.5× 343 1.1× 498 1.7× 182 5.0k
Michal Hetman United States 39 2.8k 1.4× 1.7k 1.4× 620 0.9× 596 1.9× 617 2.1× 82 4.9k

Countries citing papers authored by Eleanor T. Coffey

Since Specialization
Citations

This map shows the geographic impact of Eleanor T. Coffey'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 Eleanor T. Coffey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleanor T. Coffey more than expected).

Fields of papers citing papers by Eleanor T. Coffey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eleanor T. Coffey. 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 Eleanor T. Coffey. The network helps show where Eleanor T. Coffey may publish in the future.

Co-authorship network of co-authors of Eleanor T. Coffey

This figure shows the co-authorship network connecting the top 25 collaborators of Eleanor T. Coffey. A scholar is included among the top collaborators of Eleanor T. Coffey 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 Eleanor T. Coffey. Eleanor T. Coffey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hong, Ye, et al.. (2024). Jnk1 and downstream signalling hubs regulate anxiety-like behaviours in a zebrafish larvae phenotypic screen. Scientific Reports. 14(1). 11174–11174. 2 indexed citations
2.
Scheiber, Christian, Hans Klein, Julian Schneider, et al.. (2024). HSV-1 and Cellular miRNAs in CSF-Derived Exosomes as Diagnostically Relevant Biomarkers for Neuroinflammation. Cells. 13(14). 1208–1208. 7 indexed citations
3.
Pani, Giuseppe, Francesco Cristofaro, Barbara Pascucci, et al.. (2022). Long-term osteogenic differentiation of human bone marrow stromal cells in simulated microgravity: novel proteins sighted. Cellular and Molecular Life Sciences. 79(10). 536–536. 8 indexed citations
4.
Hong, Ye, Tomi Suomi, Sami Pietilä, et al.. (2021). PhosPiR: an automated phosphoproteomic pipeline in R. Briefings in Bioinformatics. 23(1). 5 indexed citations
5.
Miihkinen, Mitro, Elena Kremneva, Ilkka Paatero, et al.. (2021). SHANK3 conformation regulates direct actin binding and crosstalk with Rap1 signaling. Current Biology. 31(22). 4956–4970.e9. 15 indexed citations
6.
Hollós, Patrik, et al.. (2020). Optogenetic Control of Spine-Head JNK Reveals a Role in Dendritic Spine Regression. eNeuro. 7(1). ENEURO.0303–19.2019. 12 indexed citations
7.
8.
Hollós, Patrik, Francesca Marchisella, & Eleanor T. Coffey. (2017). JNK Regulation of Depression and Anxiety. PubMed. 3(2). 145–155. 37 indexed citations
9.
Mohammad, Hasan, Francesca Marchisella, Sylvia Ortega‐Martínez, et al.. (2016). JNK1 controls adult hippocampal neurogenesis and imposes cell-autonomous control of anxiety behaviour from the neurogenic niche. Molecular Psychiatry. 23(2). 362–374. 64 indexed citations
10.
Komulainen, Emilia, Justyna Zdrojewska, Erika Freemantle, et al.. (2014). JNK1 controls dendritic field size in L2/3 and L5 of the motor cortex, constrains soma size, and influences fine motor coordination. Frontiers in Cellular Neuroscience. 8. 272–272. 33 indexed citations
11.
Zdrojewska, Justyna & Eleanor T. Coffey. (2013). The Impact of JNK on Neuronal Migration. Advances in experimental medicine and biology. 800. 37–57. 8 indexed citations
12.
Jónsdóttir, Kristín, Hui Zhang, Ivar Skaland, et al.. (2012). The prognostic value of MARCKS-like 1 in lymph node-negative breast cancer. Breast Cancer Research and Treatment. 135(2). 381–390. 19 indexed citations
13.
Mai, Anja, Stefan Veltel, Teijo Pellinen, et al.. (2011). Competitive binding of Rab21 and p120RasGAP to integrins regulates receptor traffic and migration. The Journal of Cell Biology. 194(2). 291–306. 77 indexed citations
14.
Uusi‐Oukari, Mikko, et al.. (2010). AMPAR signaling mediating GABAAR δ subunit up-regulation in cultured mouse cerebellar granule cells. Neurochemistry International. 57(2). 136–142. 3 indexed citations
15.
Waetzig, Vicki, Wiebke Haeusgen, Benny Björkblom, et al.. (2009). Concurrent protective and destructive signaling of JNK2 in neuroblastoma cells. Cellular Signalling. 21(6). 873–880. 12 indexed citations
16.
Morfini, Gerardo, Agnieszka Kamińska, Katherine Liu, et al.. (2009). Pathogenic huntingtin inhibits fast axonal transport by activating JNK3 and phosphorylating kinesin. Nature Neuroscience. 12(7). 864–871. 198 indexed citations
17.
Johansen, Lars Dan, et al.. (2008). Loss-of-function of IKAP/ELP1. Cell Adhesion & Migration. 2(4). 236–239. 17 indexed citations
18.
Li, Wenrui, Benny Björkblom, Artur Padzik, et al.. (2006). JNK1 phosphorylation of SCG10 determines microtubule dynamics and axodendritic length. The Journal of Cell Biology. 173(2). 265–277. 154 indexed citations
19.
Hietakangas, Ville, Iina Elo, Eleanor T. Coffey, et al.. (2001). Activation of the MKK4‐JNK pathway during erythroid differentiation of K562 cells is inhibited by the heat shock factor 2‐β isoform. FEBS Letters. 505(1). 168–172. 9 indexed citations
20.
Nicholls, David G. & Eleanor T. Coffey. (1994). 13 Glutamate exocytosis from isolated nerve terminals. PubMed. 29. 189–203. 8 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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