Steven H. DeVries

3.4k total citations
39 papers, 2.6k citations indexed

About

Steven H. DeVries is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Steven H. DeVries has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Steven H. DeVries's work include Retinal Development and Disorders (31 papers), Photoreceptor and optogenetics research (25 papers) and Neuroscience and Neuropharmacology Research (17 papers). Steven H. DeVries is often cited by papers focused on Retinal Development and Disorders (31 papers), Photoreceptor and optogenetics research (25 papers) and Neuroscience and Neuropharmacology Research (17 papers). Steven H. DeVries collaborates with scholars based in United States, Japan and Germany. Steven H. DeVries's co-authors include Eric A. Schwartz, D. A. Baylor, Wei Li, Shannon Saszik, Yongling Zhu, Brett A. Szmajda, Jian Xu, Alexander Sher, Peter Sterling and Robert G. Smith and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Steven H. DeVries

38 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven H. DeVries United States 22 2.1k 2.0k 620 149 105 39 2.6k
Timm Schubert Germany 28 1.9k 0.9× 1.5k 0.8× 491 0.8× 120 0.8× 83 0.8× 50 2.3k
Espen Hartveit Norway 25 1.9k 0.9× 2.0k 1.0× 527 0.8× 73 0.5× 73 0.7× 56 2.6k
Bart G. Borghuis United States 22 1.3k 0.6× 1.5k 0.7× 845 1.4× 192 1.3× 103 1.0× 37 2.3k
Ko Matsui Japan 27 1.1k 0.5× 1.7k 0.9× 695 1.1× 138 0.9× 90 0.9× 57 2.5k
Alapakkam P. Sampath United States 28 2.3k 1.1× 2.1k 1.0× 427 0.7× 354 2.4× 135 1.3× 72 2.9k
Nechama Lasser‐Ross United States 21 1.1k 0.5× 2.1k 1.1× 1.1k 1.8× 99 0.7× 207 2.0× 26 2.5k
Stephen C. Massey United States 34 2.8k 1.3× 2.5k 1.3× 377 0.6× 164 1.1× 57 0.5× 78 3.1k
Sandra Siegert Austria 13 1.2k 0.6× 995 0.5× 258 0.4× 166 1.1× 43 0.4× 23 1.8k
Cha‐Min Tang United States 21 1.0k 0.5× 1.5k 0.8× 703 1.1× 36 0.2× 104 1.0× 42 2.2k
Stewart A. Bloomfield United States 39 3.5k 1.6× 3.1k 1.6× 1.1k 1.8× 265 1.8× 91 0.9× 65 4.3k

Countries citing papers authored by Steven H. DeVries

Since Specialization
Citations

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

Fields of papers citing papers by Steven H. DeVries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven H. DeVries. 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 Steven H. DeVries. The network helps show where Steven H. DeVries may publish in the future.

Co-authorship network of co-authors of Steven H. DeVries

This figure shows the co-authorship network connecting the top 25 collaborators of Steven H. DeVries. A scholar is included among the top collaborators of Steven H. DeVries 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 Steven H. DeVries. Steven H. DeVries 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.
Jo, Andrew, et al.. (2023). A sign-inverted receptive field of inhibitory interneurons provides a pathway for ON-OFF interactions in the retina. Nature Communications. 14(1). 5937–5937. 4 indexed citations
3.
Jo, Andrew, et al.. (2023). Modular interneuron circuits control motion sensitivity in the mouse retina. Nature Communications. 14(1). 7746–7746. 1 indexed citations
4.
Xu, Jian, Steven H. DeVries, & Yongling Zhu. (2020). Quantification of Adeno-Associated Virus with Safe Nucleic Acid Dyes. Human Gene Therapy. 31(19-20). 1086–1099. 15 indexed citations
5.
Grabner, Chad P., et al.. (2016). Mechanism of High-Frequency Signaling at a Depressing Ribbon Synapse. Neuron. 91(1). 133–145. 23 indexed citations
6.
Zhu, Yongling, et al.. (2015). An Amacrine Cell Circuit for Signaling Steady Illumination in the Retina. Cell Reports. 13(12). 2663–2670. 52 indexed citations
7.
Urban, Ben E., Ji Yi, Siyu Chen, et al.. (2015). Super-resolution two-photon microscopy via scanning patterned illumination. Physical Review E. 91(4). 42703–42703. 36 indexed citations
8.
Jara, Javier H., Yongling Zhu, William W. Hauswirth, et al.. (2015). Healthy and diseased corticospinal motor neurons are selectively transduced upon direct AAV2-2 injection into the motor cortex. Gene Therapy. 23(3). 272–282. 15 indexed citations
9.
Zhu, Yongling, Shannon Saszik, S. Lindström, et al.. (2012). Organizational motifs for ground squirrel cone bipolar cells. The Journal of Comparative Neurology. 520(13). 2864–2887. 32 indexed citations
10.
Saszik, Shannon & Steven H. DeVries. (2012). A Mammalian Retinal Bipolar Cell Uses Both Graded Changes in Membrane Voltage and All-or-Nothing Na+Spikes to Encode Light. Journal of Neuroscience. 32(1). 297–307. 66 indexed citations
11.
Ratliff, Charles P. & Steven H. DeVries. (2011). Different Bipolar Cell Types Process Information from the Cone Synapse at Different Rates. Investigative Ophthalmology & Visual Science. 52(14). 2572–2572. 1 indexed citations
12.
DeVries, Steven H. & David G. Ryan. (2010). Expression of AMPA and Kainate Receptors in Off Bipolar Cells of the Ground Squirrel Retina. Investigative Ophthalmology & Visual Science. 51(13). 4798–4798. 1 indexed citations
13.
Li, Wei, Shan Chen, & Steven H. DeVries. (2010). A fast rod photoreceptor signaling pathway in the mammalian retina. Nature Neuroscience. 13(4). 414–416. 44 indexed citations
14.
Li, Weixin & Steven H. DeVries. (2007). Synapse Between Rods and Off Cone Bipolar Cells in a Mammalian Retina. Investigative Ophthalmology & Visual Science. 48(13). 3229–3229. 2 indexed citations
15.
DeVries, Steven H., Wei Li, & Shannon Saszik. (2006). Parallel Processing in Two Transmitter Microenvironments at the Cone Photoreceptor Synapse. Neuron. 50(5). 735–748. 131 indexed citations
16.
DeVries, Steven H., Xiaofeng Qi, Robert G. Smith, Walter Makous, & Peter Sterling. (2002). Electrical Coupling between Mammalian Cones. Current Biology. 12(22). 1900–1907. 106 indexed citations
17.
DeVries, Steven H.. (2000). Bipolar Cells Use Kainate and AMPA Receptors to Filter Visual Information into Separate Channels. Neuron. 28(3). 847–856. 314 indexed citations
18.
DeVries, Steven H. & Eric A. Schwartz. (1999). Kainate receptors mediate synaptic transmission between cones and ‘Off’ bipolar cells in a mammalian retina. Nature. 397(6715). 157–160. 192 indexed citations
19.
DeVries, Steven H. & D. A. Baylor. (1996). Correlated firing among different classes of ganglion cells in rabbit retina. Investigative Ophthalmology & Visual Science. 37(3). 3 indexed citations
20.
Mague, Joel T. & Steven H. DeVries. (1980). Binuclear cationic complexes of rhodium(I) and iridium(I) containing both carbonyl and isocyanide ligands. Inorganic Chemistry. 19(12). 3743–3755. 13 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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