Gordon L. Shaw

6.9k total citations · 1 hit paper
132 papers, 4.2k citations indexed

About

Gordon L. Shaw is a scholar working on Nuclear and High Energy Physics, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gordon L. Shaw has authored 132 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nuclear and High Energy Physics, 39 papers in Cognitive Neuroscience and 31 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gordon L. Shaw's work include Quantum Chromodynamics and Particle Interactions (43 papers), Particle physics theoretical and experimental studies (33 papers) and Neural dynamics and brain function (28 papers). Gordon L. Shaw is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (43 papers), Particle physics theoretical and experimental studies (33 papers) and Neural dynamics and brain function (28 papers). Gordon L. Shaw collaborates with scholars based in United States, Italy and Austria. Gordon L. Shaw's co-authors include Frances H. Rauscher, Marc Howard Ross, W. A. Little, Johannes Sarnthein, Peter Rappelsberger, H. Petsche, Astrid von Stein, Dennis Silverman, Myron Bander and Eric L. Wright and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gordon L. Shaw

132 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Synchronization between prefrontal and posterior association cortex during human working memory

1998 583 citations Gordon L. Shaw et al. profile →

Peers

Countries citing papers authored by Gordon L. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Gordon L. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon L. Shaw. 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 Gordon L. Shaw. The network helps show where Gordon L. Shaw may publish in the future.

Co-authorship network of co-authors of Gordon L. Shaw

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Effect of Ca²⁺ on Protein Kinase A‐Mediated Phosphorylation of a Specific Serine Residue in an Expressed Peptide Containing the Ca²⁺‐Regulatory Domain of Scallop Muscle Na⁺/Ca²⁺ Exchanger 2007 ·Annals of the New York Academy of Sciences ·Christine E. Ryan, Gordon L. Shaw, Peter M.D. Hardwicke	2
2	Long-term enhancement of maze learning in mice via a generalized Mozart effect 2005 ·Neurological Research ·(unknown), Timothy A. Jones, Gordon L. Shaw, Mark Bodner	44
3	Innate spatial–temporal reasoning and the identification of genius 2004 ·Neurological Research ·Matthew R. Peterson, (unknown), Mark Bodner, Edward G. Jones, Tiffany M. Phillips, Debra J. Richardson, Gordon L. Shaw	8
4	Short-Term Improvement on a Visual-Spatial Task After Music Listening in Alzheimer's Disease 2002 ·Activities Adaptation & Aging ·Julene K. Johnson, Gordon L. Shaw, (unknown), (unknown), Carl W. Cotman	15
5	Reliable short-term memory in the trion model: toward a cortical language and grammar 2001 ·Biological Cybernetics ·(unknown), (unknown), Mark Bodner, (unknown), (unknown), Jorge Alberto Quillfeldt, (unknown), Annette Ostling, (unknown), Gordon L. Shaw	10
6	Enhanced learning of proportional math through music training and spatial-temporal training 1999 ·Neurological Research ·(unknown), Matthew Peterson, Gordon L. Shaw	126
7	Enhancement of spatial-temporal reasoning after a Mozart listening condition in Alzheimer’s disease: A case study 1998 ·Neurological Research ·Julene K. Johnson, Carl W. Cotman, (unknown), Gordon L. Shaw	45
8	Music training causes long-term enhancement of preschool children’s spatial–temporal reasoning 1997 ·Neurological Research ·Frances H. Rauscher, Gordon L. Shaw, Linda J. Levine, Eric L. Wright, (unknown), (unknown)	289
9	Symmetric temporal patterns in cortical spike trains during performance of a short-term memory task 1997 ·Neurological Research ·Mark Bodner, Yong‐Di Zhou, Gordon L. Shaw, Joaquı́n M. Fuster	14
10	Listening to Mozart enhances spatial-temporal reasoning: towards a neurophysiological basis 1995 ·Neuroscience Letters ·Frances H. Rauscher, Gordon L. Shaw, (unknown)	314
11	Learning by Selection in the Trion Model of Cortical Organization 1993 ·Cerebral Cortex ·Krishna V. Shenoy, Jeffrey L. Kaufman, (unknown), Gordon L. Shaw	20
12	Conjectured mass formula for drops of strange matter and constraints from recent experiments 1993 ·Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields ·(unknown), H. J. Crawford, Gordon L. Shaw	3
13	Durations of extended mental rehearsals are remarkably reproducible in higher level human performances 1993 ·Neurological Research ·Leslie Brothers, Gordon L. Shaw, Eric L. Wright	12
14	Reversal of epileptic state by patterned electrical stimulation suggested by trion model calculations 1992 ·Neurological Research ·(unknown), (unknown), Gordon L. Shaw	14
15	Introduction of intersubunit disulfide bonds in the membrane-distal region of the influenza hemagglutinin abolishes membrane fusion activity 1992 ·Cell ·Lucy A. Godley, (unknown), David A. Steinhauer, Barry K. Ely, Gordon L. Shaw, Rainer Kaufmann, Eric G. Suchanek, Carl O. Pabo, J.J. Skehel, Don C. Wiley, Stephen A. Wharton	151
16	Limits on the composite structure of theτlepton and quarks from anomalous-magnetic-moment measurements ine+e−annihilation 1983 ·Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields ·Dennis Silverman, Gordon L. Shaw	42
17	Production and Detection of Fractional Charge in Heavy-Ion Collisions 1983 ·Physical Review Letters ·Gordon L. Shaw, R. Slansky	13
18	Search for Fractional Charges Produced in Heavy-Ion Collisions at 1.9 GeV/nucleon 1983 ·Physical Review Letters ·M. Lindgren, D. Joyce, (unknown), R.W. Bland, Robert T. Johnson, (unknown), (unknown), (unknown), Betty Young, C. Hodges, A. A. Hahn, Gordon L. Shaw, Klaus S. Lackner, (unknown), R. Slansky	20
19	Deeply Bound Composite Fermion with a Dirac Magnetic Moment 1981 ·Physical Review Letters ·Myron Bander, Ting-Wai Chiu, Gordon L. Shaw, Dennis Silverman	15
20	Analysis ofπNScattering Using Partial-Wave Dispersion Relations in theWPlane 1967 ·Physical Review Letters ·Philip W. Coulter, Gordon L. Shaw	1

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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