Mark Eddison

2.1k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Mark Eddison is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Immunology. According to data from OpenAlex, Mark Eddison has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Mark Eddison's work include Neurobiology and Insect Physiology Research (12 papers), Invertebrate Immune Response Mechanisms (7 papers) and Animal Behavior and Reproduction (4 papers). Mark Eddison is often cited by papers focused on Neurobiology and Insect Physiology Research (12 papers), Invertebrate Immune Response Mechanisms (7 papers) and Animal Behavior and Reproduction (4 papers). Mark Eddison collaborates with scholars based in United States, United Kingdom and Germany. Mark Eddison's co-authors include Julian Lewis, Isabelle Roux, Tiago Ferreira, Ulrik Günther, Cameron Arshadi, Kyle Harrington, Anna Myat, Domingos Henrique, David Ish‐Horowicz and Julie Adam and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark Eddison

23 papers receiving 1.2k citations

Hit Papers

SNT: a unifying toolbox f... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SNT: a unifying toolbox for quantification of neuronal anatomy
    2021 205 citations Cameron Arshadi, Ulrik Günther et al. Nature Methods profile →

Author Peers

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

Author Last Decade Papers Cites
Mark Eddison 696 365 301 186 148 24 1.3k
Jill A. Cowing 1.0k 1.5× 567 1.6× 155 0.5× 152 0.8× 160 1.1× 27 1.5k
Oliver Hendrich 558 0.8× 538 1.5× 162 0.5× 98 0.5× 76 0.5× 14 1.4k
Berta Alsina 867 1.2× 321 0.9× 559 1.9× 201 1.1× 238 1.6× 37 1.5k
Linda Erkman 913 1.3× 390 1.1× 316 1.0× 123 0.7× 46 0.3× 20 1.3k
Jason R. Meyers 999 1.4× 259 0.7× 449 1.5× 464 2.5× 123 0.8× 15 1.7k
Edmund J. Koundakjian 739 1.1× 191 0.5× 313 1.0× 254 1.4× 81 0.5× 8 1.1k
Kathleen E. Whitlock 446 0.6× 342 0.9× 277 0.9× 284 1.5× 71 0.5× 38 1.2k
Josef G. Trapani 458 0.7× 262 0.7× 415 1.4× 263 1.4× 186 1.3× 32 1.0k
Pablo Chamero 704 1.0× 956 2.6× 976 3.2× 147 0.8× 64 0.4× 36 2.0k
Nobuhiko Miyasaka 315 0.5× 729 2.0× 584 1.9× 390 2.1× 68 0.5× 30 1.5k

Countries citing papers authored by Mark Eddison

Since Specialization
Citations

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

Fields of papers citing papers by Mark Eddison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Eddison

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Eddison. A scholar is included among the top collaborators of Mark Eddison 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 Mark Eddison. Mark Eddison 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.
Chen, Alex, Xuelong Mi, Sujatha Narayan, et al.. (2025). Norepinephrine changes behavioral state through astroglial purinergic signaling. Science. 388(6748). 769–775. 11 indexed citations
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Wang, Yuhan, Sabine Krabbe, Mark Eddison, et al.. (2023). Multimodal mapping of cell types and projections in the central nucleus of the amygdala. eLife. 12. 38 indexed citations
5.
Mohar, Boaz, et al.. (2023). Ten-fold Robust Expansion Microscopy. BIO-PROTOCOL. 13(12). e4698–e4698. 4 indexed citations
6.
Arshadi, Cameron, Ulrik Günther, Mark Eddison, Kyle Harrington, & Tiago Ferreira. (2021). SNT: a unifying toolbox for quantification of neuronal anatomy. Nature Methods. 18(4). 374–377. 205 indexed citations breakdown →
7.
Wang, Yuhan, Mark Eddison, Greg Fleishman, et al.. (2021). EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization. Cell. 184(26). 6361–6377.e24. 91 indexed citations
8.
Eddison, Mark. (2021). A genetic screen for Drosophila social isolation mutants and analysis of sex pistol. Scientific Reports. 11(1). 17395–17395. 5 indexed citations
9.
Jacomin, Anne‐Claire, Ágnes Varga, Mark Eddison, et al.. (2020). Degradation of arouser by endosomal microautophagy is essential for adaptation to starvation in Drosophila. Life Science Alliance. 4(2). e202000965–e202000965. 7 indexed citations
10.
Kim, Yong‐Kyu, Clement F. Kent, Mark Eddison, et al.. (2018). Repetitive aggressive encounters generate a long-lasting internal state in Drosophila melanogaster males. Proceedings of the National Academy of Sciences. 115(5). 1099–1104. 34 indexed citations
11.
Eddison, Mark, et al.. (2015). Numb is not a critical regulator of Notch-mediated cell fate decisions in the developing chick inner ear. Frontiers in Cellular Neuroscience. 9. 74–74. 3 indexed citations
12.
DeSalvo, Michael K., et al.. (2014). The Drosophila surface glia transcriptome: evolutionary conserved blood-brain barrier processes. Frontiers in Neuroscience. 8. 346–346. 97 indexed citations
13.
King, Ian, Mark Eddison, Karla R. Kaun, & Ulrike Heberlein. (2014). EGFR and FGFR Pathways Have Distinct Roles in Drosophila Mushroom Body Development and Ethanol-Induced Behavior. PLoS ONE. 9(1). e87714–e87714. 18 indexed citations
14.
Devineni, Anita V., Mark Eddison, & Ulrike Heberlein. (2013). The Novel Genetank, a Tumor Suppressor Homolog, Regulates Ethanol Sensitivity inDrosophila. Journal of Neuroscience. 33(19). 8134–8143. 6 indexed citations
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Devineni, Anita V., Kimberly D. McClure, Douglas J. Guarnieri, et al.. (2011). The genetic relationships between ethanol preference, acute ethanol sensitivity, and ethanol tolerance inDrosophila melanogaster. Fly. 5(3). 191–199. 35 indexed citations
17.
Eddison, Mark, Douglas J. Guarnieri, Ling Cheng, et al.. (2011). arouser Reveals a Role for Synapse Number in the Regulation of Ethanol Sensitivity. Neuron. 70(5). 979–990. 45 indexed citations
18.
Eddison, Mark, et al.. (2004). Segmental identity and cerebellar granule cell induction in rhombomere 1. BMC Biology. 2(1). 22 indexed citations
19.
Eddison, Mark, Isabelle Roux, & Julian Lewis. (2000). Notch signaling in the development of the inner ear: Lessons from Drosophila. Proceedings of the National Academy of Sciences. 97(22). 11692–11699. 158 indexed citations
20.
Toda, Takashi, Hajime Niwa, T. Nemoto, et al.. (1996). The fission yeast STS5+ gene is required for maintenance of growth polarity and functionally interacts with protein kinase C and an osmosensing MAP-kinase pathway. Journal of Cell Science. 109(9). 2331–2342. 32 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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