Daniel L. Rathbun

1.2k total citations
34 papers, 758 citations indexed

About

Daniel L. Rathbun is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel L. Rathbun has authored 34 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 11 papers in Molecular Biology. Recurrent topics in Daniel L. Rathbun's work include Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (17 papers) and Photoreceptor and optogenetics research (12 papers). Daniel L. Rathbun is often cited by papers focused on Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (17 papers) and Photoreceptor and optogenetics research (12 papers). Daniel L. Rathbun collaborates with scholars based in United States, Germany and Australia. Daniel L. Rathbun's co-authors include Pritesh K. Pandya, Navzer D. Engineer, Raluca Moucha, Michael P. Kilgard, W. Martin Usrey, Henry J. Alitto, Eberhart Zrenner, David K. Warland, Bartlett D. Moore and Katarína Štingl and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel L. Rathbun

33 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Rathbun United States 16 494 425 177 151 76 34 758
Hannah R. Joo United States 10 510 1.0× 535 1.3× 131 0.7× 94 0.6× 24 0.3× 14 739
Erik P. Cook Canada 14 1.0k 2.0× 450 1.1× 122 0.7× 47 0.3× 51 0.7× 27 1.1k
Louise Delicato United Kingdom 10 857 1.7× 446 1.0× 147 0.8× 29 0.2× 68 0.9× 21 982
A. Chaudhuri Canada 8 208 0.4× 192 0.5× 160 0.9× 39 0.3× 29 0.4× 19 505
Igor Kagan Germany 15 842 1.7× 188 0.4× 118 0.7× 21 0.1× 56 0.7× 40 954
Johannes C Dahmen United Kingdom 16 884 1.8× 328 0.8× 57 0.3× 49 0.3× 233 3.1× 21 1.0k
Dominique L. Pritchett United States 12 899 1.8× 361 0.8× 45 0.3× 47 0.3× 50 0.7× 19 1.0k
Jakob Voigts United States 13 744 1.5× 614 1.4× 69 0.4× 67 0.4× 45 0.6× 22 940
Marc Nahmani United States 9 326 0.7× 495 1.2× 238 1.3× 31 0.2× 37 0.5× 16 659
Yue Xi China 7 175 0.4× 239 0.6× 119 0.7× 24 0.2× 31 0.4× 11 473

Countries citing papers authored by Daniel L. Rathbun

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Rathbun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Rathbun. 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 Daniel L. Rathbun. The network helps show where Daniel L. Rathbun may publish in the future.

Co-authorship network of co-authors of Daniel L. Rathbun

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Rathbun. A scholar is included among the top collaborators of Daniel L. Rathbun 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 Daniel L. Rathbun. Daniel L. Rathbun 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.
2.
Reinhard, Jacqueline, Lars Roll, Daniel L. Rathbun, et al.. (2024). Neural extracellular matrix regulates visual sensory motor integration. iScience. 27(2). 108846–108846. 2 indexed citations
3.
Wollstadt, Patricia, Daniel L. Rathbun, W. Martin Usrey, et al.. (2023). Information-theoretic analyses of neural data to minimize the effect of researchers’ assumptions in predictive coding studies. PLoS Computational Biology. 19(11). e1011567–e1011567. 1 indexed citations
4.
Rathbun, Daniel L., et al.. (2023). Improvements for recording retinal function with Microelectrode Arrays. MethodsX. 12. 102543–102543.
5.
Alexander, Prescott, et al.. (2022). Dynamics of Temporal Integration in the Lateral Geniculate Nucleus. eNeuro. 9(4). ENEURO.0088–22.2022. 1 indexed citations
6.
Zrenner, Eberhart, et al.. (2021). Classification of pseudocalcium visual responses from mouse retinal ganglion cells. Visual Neuroscience. 38. E016–E016. 2 indexed citations
7.
Rathbun, Daniel L., Mohit N. Shivdasani, Tianruo Guo, et al.. (2020). The eye and the chip 2019—Conference Report. Journal of Neural Engineering. 17(1). 10401–10401. 5 indexed citations
8.
Bassetto, Giacomo, et al.. (2020). Characterizing Retinal Ganglion Cell Responses to Electrical Stimulation Using Generalized Linear Models. Frontiers in Neuroscience. 14. 378–378. 6 indexed citations
9.
Alitto, Henry J., Daniel L. Rathbun, Jessica J. Vandeleest, Prescott Alexander, & W. Martin Usrey. (2019). The Augmentation of Retinogeniculate Communication during Thalamic Burst Mode. Journal of Neuroscience. 39(29). 5697–5710. 18 indexed citations
10.
Ayton, Lauren N., Nick Barnes, Gislin Dagnelie, et al.. (2019). An update on retinal prostheses. Clinical Neurophysiology. 131(6). 1383–1398. 124 indexed citations
11.
Zrenner, Eberhart, et al.. (2017). Correspondence between visual and electrical input filters of ON and OFF mouse retinal ganglion cells. Journal of Neural Engineering. 14(4). 46017–46017. 22 indexed citations
12.
Zrenner, Eberhart, et al.. (2017). Optimal voltage stimulation parameters for network-mediated responses in wild type andrd10mouse retinal ganglion cells. Journal of Neural Engineering. 14(2). 26004–26004. 25 indexed citations
13.
Hosseinzadeh, Zohreh, et al.. (2017). The Spatial Extent of Epiretinal Electrical Stimulation in the Healthy Mouse Retina. Neurosignals. 25(1). 15–25. 7 indexed citations
14.
Rathbun, Daniel L., Henry J. Alitto, David K. Warland, & W. Martin Usrey. (2016). Stimulus Contrast and Retinogeniculate Signal Processing. Frontiers in Neural Circuits. 10. 8–8. 21 indexed citations
15.
Zrenner, Eberhart, et al.. (2016). Tickling the retina: integration of subthreshold electrical pulses can activate retinal neurons. Journal of Neural Engineering. 13(4). 46004–46004. 32 indexed citations
16.
Rathbun, Daniel L., David K. Warland, & W. Martin Usrey. (2010). Spike Timing and Information Transmission at Retinogeniculate Synapses. Journal of Neuroscience. 30(41). 13558–13566. 50 indexed citations
17.
Engineer, Navzer D., et al.. (2005). Environmental Enrichment Increases Paired-Pulse Depression in Rat Auditory Cortex. Journal of Neurophysiology. 94(5). 3590–3600. 45 indexed citations
18.
Moucha, Raluca, Pritesh K. Pandya, Navzer D. Engineer, Daniel L. Rathbun, & Michael P. Kilgard. (2004). Background sounds contribute to spectrotemporal plasticity in primary auditory cortex. Experimental Brain Research. 162(4). 417–427. 22 indexed citations
19.
Engineer, Navzer D., et al.. (2004). Environmental Enrichment Improves Response Strength, Threshold, Selectivity, and Latency of Auditory Cortex Neurons. Journal of Neurophysiology. 92(1). 73–82. 161 indexed citations
20.
Kilgard, Michael P., et al.. (2001). Spectral Features Control Temporal Plasticity in Auditory Cortex. Audiology and Neurotology. 6(4). 196–202. 18 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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