David Marshak

3.4k total citations
93 papers, 2.6k citations indexed

About

David Marshak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, David Marshak has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 58 papers in Cellular and Molecular Neuroscience and 17 papers in Cognitive Neuroscience. Recurrent topics in David Marshak's work include Retinal Development and Disorders (54 papers), Photoreceptor and optogenetics research (35 papers) and Neuroscience and Neuropharmacology Research (28 papers). David Marshak is often cited by papers focused on Retinal Development and Disorders (54 papers), Photoreceptor and optogenetics research (35 papers) and Neuroscience and Neuropharmacology Research (28 papers). David Marshak collaborates with scholars based in United States, Brazil and Germany. David Marshak's co-authors include Tadataka Yamada, Roy A. Jacoby, Elizabeth Sumi Yamada, Nobuo Kouyama, Matthew J. Gastinger, William K. Stell, R.W. Rodieck, Andrea S. Bordt, Helga Kolb and James R. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

David Marshak

88 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Marshak United States 29 1.9k 1.6k 553 295 286 93 2.6k
Maureen A. McCall United States 35 2.8k 1.5× 2.3k 1.4× 380 0.7× 599 2.0× 348 1.2× 99 3.7k
Alapakkam P. Sampath United States 28 2.3k 1.2× 2.1k 1.3× 427 0.8× 340 1.2× 354 1.2× 72 2.9k
William Guido United States 35 1.7k 0.9× 2.6k 1.6× 2.0k 3.7× 154 0.5× 194 0.7× 99 4.1k
Stewart A. Bloomfield United States 39 3.5k 1.8× 3.1k 2.0× 1.1k 2.0× 429 1.5× 265 0.9× 65 4.3k
Chang‐Jin Jeon South Korea 20 1.8k 0.9× 1.3k 0.8× 231 0.4× 416 1.4× 176 0.6× 82 2.2k
Michael Tri H. United States 16 1.3k 0.7× 1.2k 0.7× 340 0.6× 161 0.5× 1.0k 3.6× 24 2.3k
Wenzhi Sun China 24 1.0k 0.5× 1.1k 0.7× 627 1.1× 117 0.4× 167 0.6× 49 2.5k
David I. Vaney Australia 36 3.5k 1.8× 3.0k 1.9× 958 1.7× 370 1.3× 141 0.5× 65 4.2k
Bart G. Borghuis United States 22 1.3k 0.7× 1.5k 0.9× 845 1.5× 89 0.3× 192 0.7× 37 2.3k
Sandra Siegert Austria 13 1.2k 0.7× 995 0.6× 258 0.5× 131 0.4× 166 0.6× 23 1.8k

Countries citing papers authored by David Marshak

Since Specialization
Citations

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

Fields of papers citing papers by David Marshak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Marshak

This figure shows the co-authorship network connecting the top 25 collaborators of David Marshak. A scholar is included among the top collaborators of David Marshak 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 David Marshak. David Marshak 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.
Jin, Nange, Zhijing Zhang, Munenori Ishibashi, et al.. (2020). Molecular and functional architecture of the mouse photoreceptor network. Science Advances. 6(28). eaba7232–eaba7232. 38 indexed citations
2.
Patterson, Sara S., Andrea S. Bordt, James R. Anderson, et al.. (2019). Parasol and smooth monostratified ganglion cells in macaque retina. Investigative Ophthalmology & Visual Science. 60(9). 5274–5274. 1 indexed citations
3.
Bordt, Andrea S., et al.. (2019). Synaptic inputs from identified bipolar and amacrine cells to a sparsely branched ganglion cell in rabbit retina. Visual Neuroscience. 36. E004–E004. 9 indexed citations
4.
Bordt, Andrea S., et al.. (2017). Wavy multistratified amacrine cells in the monkey retina contain immunoreactive secretoneurin. Peptides. 94. 33–42. 2 indexed citations
5.
Vila, Alejandro J., Hiromasa Satoh, Stephen L. Mills, et al.. (2011). Histamine receptors of cones and horizontal cells in Old World monkey retinas. The Journal of Comparative Neurology. 520(3). 528–543. 15 indexed citations
6.
Marshak, David, Alejandro J. Vila, Hideo Hoshi, et al.. (2011). Histamine Receptors of Cones and Horizontal Cells in Macaque Retina. Investigative Ophthalmology & Visual Science. 52(14). 4112–4112. 1 indexed citations
7.
Yu, Yong‐Chun, Hiromasa Satoh, Alejandro J. Vila, Samuel M. Wu, & David Marshak. (2010). Effects of Histamine on Light Responses of Amacrine Cells in Tiger Salamander Retina. Neurochemical Research. 36(4). 645–654. 3 indexed citations
8.
Marshak, David, et al.. (2009). Gap Junctions Between AII Amacrine Cells and Blue Cone Bipolar Cells in Macaque Retina. Investigative Ophthalmology & Visual Science. 50(13). 1630–1630. 1 indexed citations
9.
Mills, Stephen L., et al.. (2007). Dopaminergic modulation of tracer coupling in a ganglion-amacrine cell network. Visual Neuroscience. 24(4). 593–608. 56 indexed citations
10.
Miller, Jeremy A., et al.. (2006). A high frequency resonance in the responses of retinal ganglion cells to rapidly modulated stimuli: A computer model. Visual Neuroscience. 23(5). 779–794. 6 indexed citations
11.
Kenyon, Garrett T., B. J. Travis, James Theiler, et al.. (2004). Stimulus-Specific Oscillations in a Retinal Model. IEEE Transactions on Neural Networks. 15(5). 1083–1091. 13 indexed citations
12.
Kenyon, Garrett T., Bartlett D. Moore, Greg J. Stephens, et al.. (2003). A model of high-frequency oscillatory potentials in retinal ganglion cells. Visual Neuroscience. 20(5). 465–480. 25 indexed citations
13.
Marshak, David, et al.. (2002). Synaptic input to an ON parasol ganglion cell in the macaque retina: A serial section analysis. Visual Neuroscience. 19(3). 299–305. 25 indexed citations
14.
Jacoby, Roy A., Allan F. Wiechmann, Susan Amara, Barbara H. Leighton, & David Marshak. (2000). Ultrastructural evidence for a preferential elimination on of glutamateimmunorective synatic terminals from spinal motoneurons after intramedullary axotomy. Europe PMC (PubMed Central). 425(1). 10–23. 1 indexed citations
15.
Boelen, Meeuwis K., et al.. (1998). Light-stimulated release of dopamine from the primate retina is blocked by l-2-amino-4-phosphonobutyric acid (APB). Visual Neuroscience. 15(1). 97–103. 55 indexed citations
16.
Prager, Thomas C., et al.. (1992). The effect of laser on the pattern electroretinogram: A primate model. 7(4). 349–356. 2 indexed citations
17.
Fang, Bin, et al.. (1991). Serotoninergic varicosities make synaptic contacts with pleural sensory neurons of Aplysia. The Journal of Comparative Neurology. 311(2). 259–270. 37 indexed citations
18.
Marshak, David, et al.. (1990). Exercise training diminishes the left ventricular diastolic filling abnormalities associated with aging. Journal of the American College of Cardiology. 15(2). A163–A163. 2 indexed citations
19.
Marshak, David. (1989). Peptidergic neurons of the macaque monkey retina. Neuroscience Research Supplements. 10. S117–S130. 41 indexed citations
20.
Marshak, David, et al.. (1981). Learning to Study: A Basic Skill.. Principal. 61(2). 38–40. 1 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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