Jay P. McLaughlin

6.1k citations
118 papers · 4.8k · h-index 37

Impact in

Papers in

    • Receptor Mechanisms and Signaling 46
    • Pharmacological Receptor Mechanisms and Effects 26
    • Chemical Synthesis and Analysis 13
    • Neuropeptides and Animal Physiology 65
    • Neurotransmitter Receptor Influence on Behavior 10

Jay P. McLaughlin

116 papers receiving 4.7k citations

Peers

Jay P. McLaughlin
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 2.8k
  • Behavioral Neuroscience 466
  • Virology 524
  • Biological Psychiatry 196
  • Pharmacology 353
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Citations per field
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Citations per year

Countries citing papers authored by Jay P. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. McLaughlin. 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 Jay P. McLaughlin. The network helps show where Jay P. McLaughlin may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay P. McLaughlin, 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 Jay P. McLaughlin Line = papers co-authored together Jay P. McLaughlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003406
2 2003391
3 2016256
4 2005219
5 2005195
6 2004130
7 1999127
8 2007123
9 2010116
10 2011113
11 2009105
12 200495
13 201286
14 201184
15 200381
16 200977
17 200974
18 201765
19 200162
20 201562

About Jay P. McLaughlin

Jay P. McLaughlin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Virology, Physiology and Pharmacology, having authored 118 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (65 papers), Receptor Mechanisms and Signaling (46 papers), Pharmacological Receptor Mechanisms and Effects (26 papers), HIV Research and Treatment (23 papers), Pain Mechanisms and Treatments (17 papers), Chemical Synthesis and Analysis (13 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Alkaloids: synthesis and pharmacology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Behavioral Neuroscience (466 citations), Virology (524 citations), Biological Psychiatry (196 citations) and Pharmacology (353 citations). Jay P. McLaughlin has collaborated with scholars based in United States, Denmark and India. Frequent co-authors include Charles Chavkin, Monica Marton-Popovici, Jane V. Aldrich, Amanda N. Carey, Shainnel O. Eans, Shuang Li, Jason J. Paris, Michelle L. Ganno, John E. Pintar and Harminder D. Singh. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Journal of Medicinal Chemistry, ACS Chemical Neuroscience and Proceedings of the National Academy of Sciences.

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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