Stephen J. Eglen

3.1k total citations
70 papers, 1.8k citations indexed

About

Stephen J. Eglen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephen J. Eglen has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 23 papers in Cognitive Neuroscience. Recurrent topics in Stephen J. Eglen's work include Retinal Development and Disorders (31 papers), Photoreceptor and optogenetics research (19 papers) and Neural dynamics and brain function (17 papers). Stephen J. Eglen is often cited by papers focused on Retinal Development and Disorders (31 papers), Photoreceptor and optogenetics research (19 papers) and Neural dynamics and brain function (17 papers). Stephen J. Eglen collaborates with scholars based in United Kingdom, United States and Germany. Stephen J. Eglen's co-authors include Rachel Wong, Evelyne Sernagor, Jay Demas, David Willshaw, Julijana Gjorgjieva, Benjamin E. Reese, Paul Charlesworth, Michael J. O’Donovan, Mary A. Raven and Carol Young and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Stephen J. Eglen

68 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen J. Eglen United Kingdom 25 1.2k 912 601 157 126 70 1.8k
J.‐C. Floyd Sarria Switzerland 7 987 0.8× 632 0.7× 605 1.0× 338 2.2× 142 1.1× 7 2.1k
Bart G. Borghuis United States 22 1.5k 1.2× 1.3k 1.4× 845 1.4× 123 0.8× 79 0.6× 37 2.3k
Emre Aksay United States 17 550 0.5× 331 0.4× 682 1.1× 258 1.6× 85 0.7× 26 1.3k
Timm Schubert Germany 28 1.5k 1.3× 1.9k 2.1× 491 0.8× 125 0.8× 107 0.8× 50 2.3k
Tom Baden United Kingdom 26 1.8k 1.5× 2.0k 2.2× 967 1.6× 320 2.0× 262 2.1× 66 3.4k
Katrin Franke Germany 13 756 0.6× 854 0.9× 508 0.8× 86 0.5× 88 0.7× 32 1.2k
Jeffrey L. Gauthier United States 21 1.3k 1.1× 770 0.8× 1.8k 2.9× 83 0.5× 196 1.6× 26 2.6k
Gregory W. Schwartz United States 25 946 0.8× 1.1k 1.2× 901 1.5× 66 0.4× 70 0.6× 50 1.8k
Timothy A. Machado United States 10 1.1k 0.9× 428 0.5× 1.1k 1.9× 180 1.1× 106 0.8× 13 1.9k
Michael Weliky United States 13 852 0.7× 361 0.4× 1.2k 2.0× 145 0.9× 96 0.8× 19 1.6k

Countries citing papers authored by Stephen J. Eglen

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Eglen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Eglen. 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 Stephen J. Eglen. The network helps show where Stephen J. Eglen may publish in the future.

Co-authorship network of co-authors of Stephen J. Eglen

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Eglen. A scholar is included among the top collaborators of Stephen J. Eglen 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 Stephen J. Eglen. Stephen J. Eglen 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.
Akarca, Danyal, Silvia Ronchi, Michele Fiscella, et al.. (2025). Homophilic wiring principles underpin neuronal network topology in vitro. eLife. 14. 3 indexed citations
2.
Holland, Anthony, et al.. (2024). Effects of long-term transcutaneous auricular vagus nerve stimulation on circadian vagal activity in people with Prader-Willi Syndrome: A case-series. Research in Developmental Disabilities. 154. 104855–104855. 1 indexed citations
3.
Sit, Timothy P.H., George M. Gibbons, Mahsa Khayat-Khoei, et al.. (2024). MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings. Cell Reports Methods. 4(11). 100901–100901. 6 indexed citations
4.
Eglen, Stephen J., et al.. (2019). Burst Detection Methods. Advances in neurobiology. 22. 185–206. 16 indexed citations
5.
6.
Gelfman, Sahar, Quanli Wang, Yifan Lu, et al.. (2018). meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays. PLoS Computational Biology. 14(10). e1006506–e1006506. 19 indexed citations
7.
Priego, Ernesto, Erin C. McKiernan, Corina Logan, et al.. (2017). Scholarly Publishing, Freedom of Information and Academic Self-Determination: The UNAM-Elsevier Case. City Research Online (City University London). 5 indexed citations
8.
Eglen, Stephen J., Ben Marwick, Yaroslav O. Halchenko, et al.. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20(6). 770–773. 63 indexed citations
9.
Eglen, Stephen J.. (2016). Bivariate spatial point patterns in the retina: a reproducible review. French digital mathematics library (Numdam). 157(1). 33–48. 2 indexed citations
10.
Wallace, Kathleen, et al.. (2016). Characterization of Early Cortical Neural Network Development in Multiwell Microelectrode Array Plates. SLAS DISCOVERY. 21(5). 510–519. 55 indexed citations
11.
Hjorth, J. J. Johannes, Élise Savier, David C. Sterratt, Michaël Reber, & Stephen J. Eglen. (2015). Estimating the location and size of retinal injections from orthogonal images of an intact retina. BMC Neuroscience. 16(1). 80–80. 3 indexed citations
12.
Eglen, Stephen J., Michael Weeks, Mark Jessop, et al.. (2014). A data repository and analysis framework for spontaneous neural activity recordings in developing retina. GigaScience. 3(1). 3–3. 27 indexed citations
13.
Schottdorf, Manuel, Stephen J. Eglen, Fred Wolf, & Wolfgang W. Keil. (2014). Can Retinal Ganglion Cell Dipoles Seed Iso-Orientation Domains in the Visual Cortex?. PLoS ONE. 9(1). e86139–e86139. 12 indexed citations
14.
Gjorgjieva, Julijana, Jimena Berni, Jan Felix Evers, & Stephen J. Eglen. (2013). Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling. Frontiers in Computational Neuroscience. 7. 24–24. 53 indexed citations
15.
Eglen, Stephen J., et al.. (2012). GABAergic control of retinal ganglion cell dendritic development. Neuroscience. 227. 30–43. 12 indexed citations
16.
Gjorgjieva, Julijana & Stephen J. Eglen. (2011). Modeling developmental patterns of spontaneous activity. Current Opinion in Neurobiology. 21(5). 679–684. 11 indexed citations
17.
Godfrey, Keith B. & Stephen J. Eglen. (2009). Theoretical models of spontaneous activity generation and propagation in the developing retina. Molecular BioSystems. 5(12). 1527–1535. 15 indexed citations
18.
Eglen, Stephen J.. (2006). Development of regular cellular spacing in the retina: theoretical models. Mathematical Medicine and Biology A Journal of the IMA. 23(2). 79–99. 29 indexed citations
19.
Eglen, Stephen J., Jay Demas, & Rachel Wong. (2003). Mapping by Waves. Neuron. 40(6). 1053–1055. 20 indexed citations
20.
Tate, A. Rosemary, Des Watson, Stephen J. Eglen, et al.. (1996). Automated feature extraction for the classification of human in vivo13C NMR spectra using statistical pattern recognition and wavelets. Magnetic Resonance in Medicine. 35(6). 834–840. 15 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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