Robert F. Smith

20 total papers · 654 total citations
20 papers, 532 citations indexed

About

Robert F. Smith is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Robert F. Smith has authored 20 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Robert F. Smith's work include Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). Robert F. Smith is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Nicotinic Acetylcholine Receptors Study (7 papers). Robert F. Smith collaborates with scholars based in United States. Robert F. Smith's co-authors include Craig G. McDonald, Jennifer Brielmaier, Hadley C. Bergstrom, Laura N. Smith, Susan E. Bachus, Tracey Wheeler, Daniel G. Ehlinger, Vernon Dailey, D.K. Raap and Albert R. Hollenbeck and has published in prestigious journals such as Brain Research, Neuroscience and Behavioural Brain Research.

In The Last Decade

Robert F. Smith

20 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Robert F. Smith	350	259	116	86	84	20	532
Ana Verónica Domingues	310 0.9×	183 0.7×	133 1.1×	72 0.8×	55 0.7×	19	551
Max Kreifeldt	373 1.1×	190 0.7×	151 1.3×	49 0.6×	57 0.7×	19	545
Jennifer Brielmaier	242 0.7×	258 1.0×	159 1.4×	97 1.1×	134 1.6×	12	582
Valentina Licheri	317 0.9×	140 0.5×	116 1.0×	59 0.7×	63 0.8×	22	518
James D. Valentine	277 0.8×	261 1.0×	117 1.0×	125 1.5×	81 1.0×	18	573
Christine Somes	362 1.0×	181 0.7×	114 1.0×	65 0.8×	58 0.7×	16	525
Jeff Sanders	289 0.8×	147 0.6×	105 0.9×	103 1.2×	46 0.5×	16	522
G.Keith Matheson	319 0.9×	152 0.6×	81 0.7×	113 1.3×	56 0.7×	16	477
Andrew C. Morse	352 1.0×	136 0.5×	114 1.0×	56 0.7×	78 0.9×	20	549
Jun-Ichiro Oka	249 0.7×	183 0.7×	82 0.7×	75 0.9×	62 0.7×	20	461

Countries citing papers authored by Robert F. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Robert F. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Smith. 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 Robert F. Smith. The network helps show where Robert F. Smith may publish in the future.

Co-authorship network of co-authors of Robert F. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Smith. A scholar is included among the top collaborators of Robert F. Smith 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 Robert F. Smith. Robert F. Smith 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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