Jay Demas

863 total citations
10 papers, 658 citations indexed

About

Jay Demas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, Jay Demas has authored 10 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 2 papers in Biophysics. Recurrent topics in Jay Demas's work include Retinal Development and Disorders (8 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Jay Demas is often cited by papers focused on Retinal Development and Disorders (8 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Jay Demas collaborates with scholars based in United States, United Kingdom and Hong Kong. Jay Demas's co-authors include Rachel Wong, Stephen J. Eglen, Timothy E. Holy, Ignacio Provencio, Dongyang Zhang, Daniel C. Tu, Russell N. Van Gelder, Maureen A. McCall, Ronald G. Gregg and Botir T. Sagdullaev and has published in prestigious journals such as Neuron, Journal of Neuroscience and Brain Research.

In The Last Decade

Jay Demas

10 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Demas United States	9	528	450	180	140	43	10	658
József Vı́gh United States	15	520 1.0×	469 1.0×	87 0.5×	149 1.1×	29 0.7×	37	683
M. Tauchi Japan	8	782 1.5×	661 1.5×	59 0.3×	208 1.5×	32 0.7×	18	968
Benjamin Ouellette United States	4	285 0.5×	260 0.6×	68 0.4×	172 1.2×	31 0.7×	4	521
Qiaoling Cui United States	12	600 1.1×	223 0.5×	47 0.3×	208 1.5×	25 0.6×	18	791
David S. McNeill United States	7	301 0.6×	227 0.5×	423 2.4×	131 0.9×	24 0.6×	8	553
Jonathan D. Tung United States	4	385 0.7×	272 0.6×	611 3.4×	215 1.5×	35 0.8×	7	797
Jordan M. Renna United States	14	627 1.2×	662 1.5×	601 3.3×	162 1.2×	69 1.6×	26	979
Andrew T. Ishida United States	21	1.2k 2.2×	1.2k 2.6×	61 0.3×	141 1.0×	69 1.6×	47	1.4k
Katherine L. Perkins United States	10	521 1.0×	329 0.7×	48 0.3×	221 1.6×	102 2.4×	13	708
Erika D. Eggers United States	17	724 1.4×	766 1.7×	76 0.4×	188 1.3×	24 0.6×	32	981

Countries citing papers authored by Jay Demas

Since Specialization

Citations

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

Fields of papers citing papers by Jay Demas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Demas

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

All Works

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10 of 10 papers shown

Tien, Nai-Wen, et al.. (2015). Genetically Identified Suppressed-by-Contrast Retinal Ganglion Cells Reliably Signal Self-Generated Visual Stimuli. Journal of Neuroscience. 35(30). 10815–10820. 44 indexed citations

Kerschensteiner, Daniel, Haiquan Liu, Chi Cheng, et al.. (2008). Genetic Control of Circuit Function:Vsx1andIrx5Transcription Factors Regulate Contrast Adaptation in the Mouse Retina. Journal of Neuroscience. 28(10). 2342–2352. 33 indexed citations

Demas, Jay & Hollis T. Cline. (2007). The blu Blur: Mutation of a Vesicular Glutamate Transporter Reduces the Resolution of Zebrafish Vision. Neuron. 53(1). 4–6. 1 indexed citations

Demas, Jay, Botir T. Sagdullaev, Maureen A. McCall, et al.. (2006). Failure to Maintain Eye-Specific Segregation in nob, a Mutant with Abnormally Patterned Retinal Activity. Neuron. 50(2). 247–259. 105 indexed citations

Tu, Daniel C., Dongyang Zhang, Jay Demas, et al.. (2005). Physiologic Diversity and Development of Intrinsically Photosensitive Retinal Ganglion Cells. Neuron. 48(6). 987–999. 184 indexed citations

Stacy, Rebecca C., Jay Demas, Robert W. Burgess, Joshua R. Sanes, & Rachel Wong. (2005). Disruption and Recovery of Patterned Retinal Activity in the Absence of Acetylcholine. Journal of Neuroscience. 25(41). 9347–9357. 56 indexed citations

Eglen, Stephen J., Jay Demas, & Rachel Wong. (2003). Mapping by Waves. Neuron. 40(6). 1053–1055. 20 indexed citations

Demas, Jay, Stephen J. Eglen, & Rachel Wong. (2003). Developmental Loss of Synchronous Spontaneous Activity in the Mouse Retina Is Independent of Visual Experience. Journal of Neuroscience. 23(7). 2851–2860. 134 indexed citations

Kettunen, Petronella, Jay Demas, Christian Löhmann, et al.. (2002). Imaging calcium dynamics in the nervous system by means of ballistic delivery of indicators. Journal of Neuroscience Methods. 119(1). 37–43. 48 indexed citations

10.

Kling, Mitchel A., Mark A. Smith, Jay Demas, et al.. (1993). Facilitation of cocaine kindling by glucocorticoids in rats. Brain Research. 629(1). 163–166. 33 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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