Stan Schein

4.3k total citations · 1 hit paper
42 papers, 3.4k citations indexed

About

Stan Schein is a scholar working on Cognitive Neuroscience, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Stan Schein has authored 42 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 17 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Stan Schein's work include Visual perception and processing mechanisms (16 papers), Retinal Development and Disorders (14 papers) and Neural dynamics and brain function (9 papers). Stan Schein is often cited by papers focused on Visual perception and processing mechanisms (16 papers), Retinal Development and Disorders (14 papers) and Neural dynamics and brain function (9 papers). Stan Schein collaborates with scholars based in United States, China and Belgium. Stan Schein's co-authors include Robert Desimone, F. M. de Monasterio, Z. Hong Zhou, P. Ge, Peter Sterling, Joseph G. Malpeli, Peter H. Schiller, Karl Klug, Xiaokang Zhang and Zhi Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Stan Schein

41 papers receiving 3.3k citations

Hit Papers

Visual properties of neurons in area V4 of the macaque: s... 1987 2026 2000 2013 1987 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stan Schein United States 26 1.4k 1.3k 542 481 434 42 3.4k
Stephen J. Martin United Kingdom 41 2.6k 1.8× 1.5k 1.2× 3.5k 6.4× 154 0.3× 174 0.4× 88 9.0k
Richard A. Stein United States 32 111 0.1× 1.7k 1.4× 579 1.1× 51 0.1× 423 1.0× 106 4.2k
Lawrence H. Pinto United States 55 723 0.5× 6.5k 5.2× 2.1k 3.9× 749 1.6× 330 0.8× 133 11.3k
Donald Robertson Australia 46 3.9k 2.7× 1.3k 1.0× 851 1.6× 53 0.1× 50 0.1× 167 8.0k
Alon Greenbaum United States 28 336 0.2× 1.4k 1.1× 760 1.4× 119 0.2× 98 0.2× 55 4.6k
Stefan Fischer Germany 35 356 0.2× 3.2k 2.6× 256 0.5× 188 0.4× 1.6k 3.6× 88 6.4k
John H. Connor United States 40 229 0.2× 2.6k 2.1× 752 1.4× 1.2k 2.5× 112 0.3× 144 5.7k
Marc S. Weinberg United States 40 244 0.2× 2.4k 1.9× 252 0.5× 239 0.5× 90 0.2× 136 4.9k
Bryan W. Jones United States 38 658 0.5× 4.2k 3.4× 3.0k 5.5× 278 0.6× 116 0.3× 114 7.7k
Jennifer Johnston United States 23 223 0.2× 2.7k 2.2× 784 1.4× 46 0.1× 185 0.4× 41 5.8k

Countries citing papers authored by Stan Schein

Since Specialization
Citations

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

Fields of papers citing papers by Stan Schein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stan Schein

This figure shows the co-authorship network connecting the top 25 collaborators of Stan Schein. A scholar is included among the top collaborators of Stan Schein 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 Stan Schein. Stan Schein 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.
Han, Bao‐Liang, Zhi Wang, Rakesh Kumar Gupta, et al.. (2021). Precise Implantation of an Archimedean Ag@Cu12 Cuboctahedron into a Platonic Cu4Bis(diphenylphosphino)hexane6 Tetrahedron. ACS Nano. 15(5). 8733–8741. 42 indexed citations
2.
Wang, Zhi, et al.. (2020). A Keplerian Ag90 nest of Platonic and Archimedean polyhedra in different symmetry groups. Nature Communications. 11(1). 3316–3316. 71 indexed citations
3.
Coolsaet, Kris & Stan Schein. (2018). Some New Symmetric Equilateral Embeddings of Platonic and Archimedean Polyhedra. Symmetry. 10(9). 382–382.
4.
Wang, Zhi, Hai‐Feng Su, Yuan‐Zhi Tan, et al.. (2017). Assembly of silver Trigons into a buckyball-like Ag 180 nanocage. Proceedings of the National Academy of Sciences. 114(46). 12132–12137. 195 indexed citations
5.
Zhou, Zheng, Wong H. Hui, Sanket Shah, et al.. (2014). Four Levels of Hierarchical Organization, Including Noncovalent Chainmail, Brace the Mature Tumor Herpesvirus Capsid against Pressurization. Structure. 22(10). 1385–1398. 15 indexed citations
6.
Zhang, Xiaokang, P. Ge, Xuekui Yu, et al.. (2012). Cryo-EM structure of the mature dengue virus at 3.5-Å resolution. Nature Structural & Molecular Biology. 20(1). 105–110. 330 indexed citations
8.
Schein, Stan, et al.. (2011). Cone synapses in macaque fovea: I. Two types of non-S cones are distinguished by numbers of contacts with OFF midget bipolar cells. Visual Neuroscience. 28(1). 3–16. 3 indexed citations
9.
Ge, P., Jun Tsao, Stan Schein, et al.. (2010). Cryo-EM Model of the Bullet-Shaped Vesicular Stomatitis Virus. Science. 327(5966). 689–693. 191 indexed citations
10.
Liu, Hongrong, Lei Jin, Ivo Atanasov, et al.. (2010). Atomic Structure of Human Adenovirus by Cryo-EM Reveals Interactions Among Protein Networks. Science. 329(5995). 1038–1043. 281 indexed citations
11.
Zhang, Xing, Mark Boyce, Bishnupriya Bhattacharya, et al.. (2010). Bluetongue virus coat protein VP2 contains sialic acid-binding domains, and VP5 resembles enveloped virus fusion proteins. Proceedings of the National Academy of Sciences. 107(14). 6292–6297. 92 indexed citations
12.
Schein, Stan, et al.. (2007). The Physical Basis for the Head-to-Tail Rule that Excludes Most Fullerene Cages from Self-Assembly. Biophysical Journal. 94(3). 938–957. 6 indexed citations
13.
Schein, Stan & Kareem M. Ahmad. (2006). Efficiency of Synaptic Transmission of Single-Photon Events from Rod Photoreceptor to Rod Bipolar Dendrite. Biophysical Journal. 91(9). 3257–3267. 11 indexed citations
14.
Schein, Stan & Kareem M. Ahmad. (2005). A Clockwork Hypothesis: Synaptic Release by Rod Photoreceptors Must Be Regular. Biophysical Journal. 89(6). 3931–3949. 18 indexed citations
15.
Schein, Stan, et al.. (2004). Evidence That Each S Cone in Macaque Fovea Drives One Narrow-Field and Several Wide-Field Blue-Yellow Ganglion Cells. Journal of Neuroscience. 24(38). 8366–8378. 22 indexed citations
16.
Ahmad, Kareem M., et al.. (2003). Cell density ratios in a foveal patch in macaque retina. Visual Neuroscience. 20(2). 189–209. 80 indexed citations
17.
Sadun, Alfredo A., Valério Carelli, Solange Rios Salomão, et al.. (2003). Extensive investigation of a large Brazilian pedigree of 11778/haplogroup J Leber hereditary optic neuropathy. American Journal of Ophthalmology. 136(2). 231–238. 111 indexed citations
18.
Klug, Karl, et al.. (2002). Two ribbon synaptic units in rod photoreceptors of macaque, human, and cat. The Journal of Comparative Neurology. 455(1). 100–112. 36 indexed citations
19.
Schein, Stan. (1988). Anatomy of macaque fovea and spatial densities of neurons in foveal representation. The Journal of Comparative Neurology. 269(4). 479–505. 161 indexed citations
20.
Shapiro, Marvin B., Stan Schein, & F. M. de Monasterio. (1985). Regularity and Structure of the Spatial Pattern of Blue Cones of Macaque Retina. Journal of the American Statistical Association. 80(392). 803–803. 17 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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