Timothy G. Freels

20 total papers · 604 total citations
12 papers, 260 citations indexed

About

Timothy G. Freels is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Timothy G. Freels has authored 12 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Pharmacology and 3 papers in Cognitive Neuroscience. Recurrent topics in Timothy G. Freels's work include Neurotransmitter Receptor Influence on Behavior (9 papers), Cannabis and Cannabinoid Research (6 papers) and Stress Responses and Cortisol (2 papers). Timothy G. Freels is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (9 papers), Cannabis and Cannabinoid Research (6 papers) and Stress Responses and Cortisol (2 papers). Timothy G. Freels collaborates with scholars based in United States, Canada and Colombia. Timothy G. Freels's co-authors include Deranda B. Lester, N. Simon, Ryan J. McLaughlin, Hayden R. Wright, Janelle M. Lugo, Nicholas C. Glodosky, Samantha L. Baglot, Carrie Cuttler, Matthew N. Hill and Barry Setlow and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Pain.

In The Last Decade

Timothy G. Freels

11 papers receiving 259 citations

Author Peers

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

Author Last Decade Papers Cites
Timothy G. Freels 130 108 61 44 42 12 260
Silvia Fanni 133 1.0× 94 0.9× 22 0.4× 67 1.5× 43 1.0× 14 306
Hayden R. Wright 127 1.0× 138 1.3× 31 0.5× 47 1.1× 27 0.6× 7 254
Heikki Laurikainen 91 0.7× 122 1.1× 56 0.9× 22 0.5× 32 0.8× 22 299
Chelsea R. Kasten 204 1.6× 108 1.0× 59 1.0× 18 0.4× 62 1.5× 19 307
Janelle M. Lugo 126 1.0× 147 1.4× 26 0.4× 43 1.0× 28 0.7× 8 276
Neal Joshi 106 0.8× 94 0.9× 52 0.9× 15 0.3× 53 1.3× 12 264
Kate Z. Peters 106 0.8× 78 0.7× 47 0.8× 15 0.3× 55 1.3× 12 246
Shaina P. Cahill 98 0.8× 75 0.7× 63 1.0× 23 0.5× 32 0.8× 12 276
Siobhan Morse 124 1.0× 59 0.5× 58 1.0× 31 0.7× 25 0.6× 18 309
Francesco Traccis 88 0.7× 117 1.1× 20 0.3× 106 2.4× 29 0.7× 15 295

Countries citing papers authored by Timothy G. Freels

Since Specialization
Citations

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

Fields of papers citing papers by Timothy G. Freels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy G. Freels. 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 Timothy G. Freels. The network helps show where Timothy G. Freels may publish in the future.

Co-authorship network of co-authors of Timothy G. Freels

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy G. Freels. A scholar is included among the top collaborators of Timothy G. Freels 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 Timothy G. Freels. Timothy G. Freels 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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