Kevin B. Freeman

27 total papers · 411 total citations
20 papers, 318 citations indexed

About

Kevin B. Freeman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kevin B. Freeman has authored 20 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Kevin B. Freeman's work include Neurotransmitter Receptor Influence on Behavior (19 papers), Receptor Mechanisms and Signaling (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Kevin B. Freeman is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (19 papers), Receptor Mechanisms and Signaling (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Kevin B. Freeman collaborates with scholars based in United States. Kevin B. Freeman's co-authors include Anthony L. Riley, William L. Woolverton, Sally L. Huskinson, Joel Myerson, Leonard Green, Gregory D. Busse, James K. Rowlett, Peter G. Roma, Kenner C. Rice and E. Andrew Townsend and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychopharmacology and Neuropharmacology.

In The Last Decade

Kevin B. Freeman

20 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin B. Freeman 249 93 63 52 40 20 318
Marc E. Risner 250 1.0× 89 1.0× 49 0.8× 20 0.4× 42 1.1× 13 346
Paul Skjoldager 275 1.1× 104 1.1× 59 0.9× 16 0.3× 35 0.9× 9 349
Anna Redmond 210 0.8× 91 1.0× 34 0.5× 22 0.4× 38 0.9× 12 365
Gerald S. Hecht 176 0.7× 69 0.7× 32 0.5× 46 0.9× 80 2.0× 19 364
A.W. Hollais 215 0.9× 61 0.7× 130 2.1× 39 0.8× 32 0.8× 20 356
Paul Hoerbelt 197 0.8× 98 1.1× 113 1.8× 16 0.3× 43 1.1× 10 323
Chad M. Galuska 267 1.1× 139 1.5× 73 1.2× 11 0.2× 28 0.7× 22 361
Rita Gálosi 195 0.8× 114 1.2× 89 1.4× 27 0.5× 56 1.4× 30 328
Albert A. Valadez 250 1.0× 108 1.2× 56 0.9× 11 0.2× 66 1.6× 16 356
Jennifer L. Scruggs 223 0.9× 70 0.8× 53 0.8× 37 0.7× 18 0.5× 16 329

Countries citing papers authored by Kevin B. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Kevin B. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin B. Freeman. 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 Kevin B. Freeman. The network helps show where Kevin B. Freeman may publish in the future.

Co-authorship network of co-authors of Kevin B. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin B. Freeman. A scholar is included among the top collaborators of Kevin B. Freeman 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 Kevin B. Freeman. Kevin B. Freeman 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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