Stephen J. Young

4.3k total citations · 1 hit paper
107 papers, 3.0k citations indexed

About

Stephen J. Young is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephen J. Young has authored 107 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 15 papers in Cognitive Neuroscience. Recurrent topics in Stephen J. Young's work include Neuroscience and Neuropharmacology Research (25 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Neural dynamics and brain function (11 papers). Stephen J. Young is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Neural dynamics and brain function (11 papers). Stephen J. Young collaborates with scholars based in United States, United Kingdom and Japan. Stephen J. Young's co-authors include Philip M. Groves, Charles J. Wilson, P.M. Groves, George V. Rebec, James M. Tepper, M. Garcia-Munoz, Brian R. Johnson, J. A. Hackwell, Jean C. Linder and Maryann E. Martone and has published in prestigious journals such as Science, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Stephen J. Young

98 papers receiving 2.9k citations

Hit Papers

Self-inhibition by Dopaminergic Neurons 1975 2026 1992 2009 1975 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
Stephen J. Young United States 29 1.7k 843 557 410 201 107 3.0k
John L. Hudson United States 45 1.3k 0.8× 744 0.9× 1.4k 2.4× 470 1.1× 140 0.7× 196 8.0k
Giovanni Corsini Italy 41 2.0k 1.2× 1.4k 1.7× 317 0.6× 1.1k 2.7× 161 0.8× 304 6.5k
William L. Ditto United States 44 539 0.3× 991 1.2× 1.7k 3.1× 95 0.2× 618 3.1× 147 7.9k
John H. Thomas United States 36 1.0k 0.6× 603 0.7× 70 0.1× 565 1.4× 86 0.4× 135 4.2k
Yasuhiro Morita Japan 40 1.3k 0.8× 1.2k 1.4× 167 0.3× 71 0.2× 97 0.5× 190 4.4k
Mark L. Spano United States 32 411 0.2× 433 0.5× 1.0k 1.8× 92 0.2× 182 0.9× 90 5.0k
Yoshiki Kuramoto Japan 28 649 0.4× 660 0.8× 2.6k 4.6× 74 0.2× 388 1.9× 57 8.9k
Arthur T. Winfree United States 43 2.0k 1.2× 1.9k 2.2× 2.7k 4.8× 86 0.2× 304 1.5× 90 12.3k
M. I. Rabinovich United States 50 1.9k 1.1× 546 0.6× 4.5k 8.0× 49 0.1× 178 0.9× 222 8.4k
Thomas V. Wiecki United States 16 316 0.2× 201 0.2× 1.9k 3.4× 403 1.0× 114 0.6× 26 4.2k

Countries citing papers authored by Stephen J. Young

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Young. 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 Stephen J. Young. The network helps show where Stephen J. Young may publish in the future.

Co-authorship network of co-authors of Stephen J. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Young. A scholar is included among the top collaborators of Stephen J. Young 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 Stephen J. Young. Stephen J. Young 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.
Young, Stephen J., et al.. (2024). Decommissioning Using Reverse Reeling.
2.
Kay, Bill, et al.. (2023). Similarity Downselection: Finding the n Most Dissimilar Molecular Conformers for Reference-Free Metabolomics. Metabolites. 13(1). 105–105. 1 indexed citations
3.
Dey, Asim Kumer, Stephen J. Young, & Yulia R. Gel. (2023). From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(3). 335–354. 5 indexed citations
4.
Young, Stephen J., et al.. (2014). The spectra of multiplicative attribute graphs. Linear Algebra and its Applications. 462. 39–58. 2 indexed citations
5.
Howard, David M. & Stephen J. Young. (2010). When linear and weak discrepancy are equal. Discrete Mathematics. 311(4). 252–257.
6.
Bíró, Csaba, et al.. (2009). Interval partitions and Stanley depth. Journal of Combinatorial Theory Series A. 117(4). 475–482. 23 indexed citations
7.
Young, Stephen J., et al.. (2009). Stanley depth of squarefree monomial ideals. Journal of Algebra. 322(10). 3789–3792. 8 indexed citations
8.
Young, Stephen J., et al.. (1999). Web-Based Telemicroscopy. Journal of Structural Biology. 125(2-3). 235–245. 42 indexed citations
9.
Young, Stephen J., et al.. (1996). A Flexible Environment for the Visualization of Three-Dimensional Biological Structures. Journal of Structural Biology. 116(1). 113–119. 13 indexed citations
11.
Soto, Gabriel E., Stephen J. Young, Maryann E. Martone, et al.. (1994). Serial Section Electron Tomography: A Method for Three-Dimensional Reconstruction of Large Structures. NeuroImage. 1(3). 230–243. 105 indexed citations
12.
Groves, P.M., Jean C. Linder, & Stephen J. Young. (1994). 5-hydroxydopamine-labeled dopaminergic axns: Three-dimensional reconstructions of axons, synapses and postsynaptic targets in rat neostriatum. Neuroscience. 58(3). 593–604. 102 indexed citations
13.
Martone, Maryann E., Stephen J. Young, David M. Armstrong, & Philip M. Groves. (1994). The distribution of cholinergic perikarya with respect to enkephalin-rich patches in the caudate nucleus of the adult cat. Journal of Chemical Neuroanatomy. 8(1). 47–59. 9 indexed citations
14.
Elvins, T. Todd, et al.. (1992). The microscopist's workstation. IEEE Visualization. 419–423. 1 indexed citations
15.
Young, Stephen J., Bridget Carragher, Maryann E. Martone, et al.. (1992). Programs for visualization in three-dimensional microscopy. NeuroImage. 1(1). 55–67. 64 indexed citations
16.
Garcia-Munoz, M., Stephen J. Young, & P.M. Groves. (1991). Terminal excitability of the corticostriatal pathway. II. Regulation by glutamate receptor stimulation. Brain Research. 551(1-2). 207–215. 89 indexed citations
17.
Garcia-Munoz, M., Stephen J. Young, & P.M. Groves. (1991). Terminal excitability of the corticostrial pathway. I. Regulation by dopamine receptor stimulation. Brain Research. 551(1-2). 195–206. 67 indexed citations
18.
Fisher, Lisa J., Stephen J. Young, Philip M. Groves, & Fred H. Gage. (1990). Chapter 53 Extracellular properties of cells within mesencephalon suspension grafts in rat striatum. Progress in brain research. 82. 473–479. 3 indexed citations
19.
Gariano, Ray F., Steven F. Sawyer, James M. Tepper, Stephen J. Young, & P.M. Groves. (1989). Mesocortical dopaminergic neurons. 2. Electrophysiological consequences of terminal autoreceptor activation. Brain Research Bulletin. 22(3). 517–523. 14 indexed citations
20.
Ryan, Lawrence J., Marco Diana, Stephen J. Young, & P.M. Groves. (1989). Dopamine D1 heteroreceptors on striatonigral axons are not stimulated by endogeneous dopamine either tonically or after amphetamine: evidence from terminal excitability. Experimental Brain Research. 77(1). 161–5. 12 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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