Steven Grant

64 total papers · 6.7k total citations
49 papers, 2.2k citations indexed

About

Steven Grant is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Steven Grant has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Steven Grant's work include Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Speech and Audio Processing (8 papers). Steven Grant is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Speech and Audio Processing (8 papers). Steven Grant collaborates with scholars based in United States, Canada and United Kingdom. Steven Grant's co-authors include D. Eugene Redmond, James M. Bjork, Daniel W. Hommer, Edythe D. London, Cinnamon L. Danube, Carlo Contoreggi, Alane S. Kimes, Monique Ernst, Y.H. Huang and Gary Aston‐Jones and has published in prestigious journals such as American Journal of Psychiatry, Brain Research and Psychological Science.

In The Last Decade

Steven Grant

49 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Steven Grant	949	715	413	294	270	49	2.2k
Steven D. LaRowe	873 0.9×	532 0.7×	417 1.0×	333 1.1×	320 1.2×	46	2.2k
Teresa R. Franklin	1.2k 1.2×	1.1k 1.5×	664 1.6×	295 1.0×	399 1.5×	54	2.7k
Alan S. Bloom	1.4k 1.4×	953 1.3×	544 1.3×	212 0.7×	223 0.8×	46	2.4k
Louis Richer	519 0.5×	679 0.9×	649 1.6×	230 0.8×	219 0.8×	86	3.1k
Dongju Seo	650 0.7×	783 1.1×	196 0.5×	556 1.9×	423 1.6×	48	2.5k
Marisa M. Silveri	1.3k 1.4×	1.2k 1.6×	238 0.6×	369 1.3×	292 1.1×	86	3.3k
Kelly E. Courtney	807 0.9×	609 0.9×	248 0.6×	294 1.0×	244 0.9×	64	2.1k
Jiansong Xu	612 0.6×	1.2k 1.7×	220 0.5×	417 1.4×	375 1.4×	55	2.4k
Laurence Reed	841 0.9×	907 1.3×	330 0.8×	815 2.8×	456 1.7×	42	2.9k
Sarah S. Mosko	895 0.9×	985 1.4×	316 0.8×	113 0.4×	372 1.4×	43	2.7k

Countries citing papers authored by Steven Grant

Since Specialization

Citations

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

Fields of papers citing papers by Steven Grant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Grant

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

All Works

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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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