Brian J. Lavey

989 citations
19 papers · 585 indexed · h-index 14
Topics
Cannabis and Cannabinoid Research (9 papers)Neuroscience and Neuropharmacology Research (4 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)

In The Last Decade

Brian J. Lavey

19 papers receiving 555 citations

Peers

Brian J. Lavey
Comparison fields: 5 of 66
  • Pharmacology 300
  • Molecular Biology 241
  • Cellular and Molecular Neuroscience 187
  • Organic Chemistry 122
  • Oncology 53
Replace Sine Mandrup Bertozzi with:
Sine Mandrup Bertozzi Italy
Fanny Astruc‐Diaz United States
Lakshmipathi Pandarinathan United States
Bernard Bourrié France
Marjolein Soethoudt Netherlands
Mark J. Gemkow Germany
Laura Scalvini Italy
Sean Donohue United States
Hirokazu Annoura Japan
Thomas A. Chappie United States
Brian J. Lavey relative to Sine Mandrup Bertozzi Italy Sine Mandrup Bertozzi's profile →
Citations per field
00.5×1.5×1.9×
Sine Mandrup Bertozzi · 1×
Citations per year

Countries citing papers authored by Brian J. Lavey

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Lavey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Lavey. 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 Brian J. Lavey. The network helps show where Brian J. Lavey may publish in the future.

Co-authorship network of co-authors of Brian J. Lavey

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 13
2 21
3 28
4 30
5 24
6 101
7 19
8 13
9 20
10 112
11 24
12 2
13 33
14 9
15 42
16 53
17 34
18 6
19 1

About Brian J. Lavey

Brian J. Lavey is a scholar working on Toxicology, Pharmacology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 585 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Pharmacology (300 citations), Cellular and Molecular Neuroscience (187 citations) and Toxicology (32 citations). Brian J. Lavey has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Joseph A. Kozlowski, Charles A. Lunn, R. William Hipkin, Kim D. Janda, Jay S. Fine, Daniel Lundell, Waldemar Gonsiorek, Satwant K. Narula, D J Lundell and Loretta A. Bober. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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