Christopher J. LaBuda

1.4k citations
27 papers · 1.2k · h-index 19

Impact in

Papers in

Christopher J. LaBuda

27 papers receiving 1.2k citations

Peers

Christopher J. LaBuda
Comparison fields: 5 of 83
  • Behavioral Neuroscience 119
  • Physiology 621
  • Cellular and Molecular Neuroscience 449
  • Pharmacology 221
  • Cognitive Neuroscience 206
Replace Masahiko Funada with:
Masahiko Funada Japan
Akiyoshi Saitoh Japan
Laurent Bardin France
Angelo Ceci Germany
I.F. Tulloch Netherlands
Izabela Panocka Poland
Taline V. Khroyan United States
Fernando Boix Norway
L. Singh United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Christopher J. LaBuda

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. LaBuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher J. LaBuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher J. LaBuda Line = papers co-authored together Christopher J. LaBuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000185
2 2004139
3 200488
4 200569
5 200569
6 200265
7 200260
8 200556
9 200053
10 200241
11 200440
12 200039
13 200137
14 200125
15 200125
16 200025
17 200223
18 200123
19 200020
20 200418

About Christopher J. LaBuda

Christopher J. LaBuda is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Clinical Psychology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Neuropeptides and Animal Physiology (8 papers), Cannabis and Cannabinoid Research (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Psychedelics and Drug Studies (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Behavioral Neuroscience (119 citations), Physiology (621 citations), Cellular and Molecular Neuroscience (449 citations), Pharmacology (221 citations) and Cognitive Neuroscience (206 citations). Christopher J. LaBuda has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Perry N. Fuchs, Patrick Little, Michael Koblish, Raymond L. Jackson, Stacey C. LaGraize, Margaret Rutledge, Math P. Cuajungco, Sang Won Suh, Ted B. Usdin and Roland E. Dolle. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Alcohol, Neuroreport, Experimental Neurology and Neuroscience.

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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