John M. Schaus

2.3k citations
54 papers · 1.9k · h-index 26

Impact in

Papers in

John M. Schaus

54 papers receiving 1.8k citations

Peers

John M. Schaus
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 744
  • Pharmacology 532
  • Toxicology 103
  • Endocrine and Autonomic Systems 115
  • Biological Psychiatry 41
Replace Gilbert Lavielle with:
Gilbert Lavielle France
Joseph H. Krushinski United States
Julie F. Falcone United States
Ian T. Forbes United Kingdom
Andrew O. Stewart United States
Steven M. Bromidge United Kingdom
David O. Calligaro United States
Donna D. Flynn United States
Timothy A. Esbenshade United States
Gina M. Jerome United States
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Citations per year

Countries citing papers authored by John M. Schaus

Since Specialization
Citations

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

Fields of papers citing papers by John M. Schaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Schaus. 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 John M. Schaus. The network helps show where John M. Schaus may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005150
2 1997136
3 2010102
4 200989
5 200988
6 200275
7 199272
8 200771
9 200870
10 199170
11 198070
12 198950
13 200846
14 200546
15 200644
16 201740
17 199538
18 199837
19 201636
20 198934

About John M. Schaus

John M. Schaus is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Organic Chemistry, Toxicology and Molecular Biology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (20 papers), Receptor Mechanisms and Signaling (12 papers), Cannabis and Cannabinoid Research (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Chemical synthesis and alkaloids (6 papers), Migraine and Headache Studies (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (744 citations), Pharmacology (532 citations), Toxicology (103 citations), Endocrine and Autonomic Systems (115 citations) and Biological Psychiatry (41 citations). John M. Schaus has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Lee A. Phebus, Philip M. Seeman, Paul A. Wender, Christian C. Felder, Christer Halldin, Victor William Pike, Alan W. White, Donald R. Gehlert, Joseph H. Krushinski and Susan L. Gackenheimer. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters and Tetrahedron Letters.

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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