Kenneth Grasing

1.3k citations
48 papers · 1.1k · h-index 17

Impact in

    • Neurotransmitter Receptor Influence on Behavior
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Kenneth Grasing

45 papers receiving 1.0k citations

Peers

Kenneth Grasing
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 364
  • Neurology 249
  • Cognitive Neuroscience 317
  • Behavioral Neuroscience 44
  • Epidemiology 324
Replace Philippe De Witte with:
Philippe De Witte Belgium
Tamzin L. Ripley United Kingdom
Barton R. Harris United States
G J Wang United States
P. J. Langlais United States
EK Perry United Kingdom
Ming‐Gang Liu China
Jean-Lud Cadet United States
Hiroyuki Ikari Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Grasing

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Grasing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Grasing. 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 Kenneth Grasing. The network helps show where Kenneth Grasing may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993227
2 1996107
3 199978
4 200555
5 199536
6 199235
7 201031
8 199630
9 200330
10 200429
11 201628
12 199327
13 200324
14 201322
15 199622
16 199822
17 200921
18 200716
19 199315
20 201615

About Kenneth Grasing

Kenneth Grasing is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (25 papers), Receptor Mechanisms and Signaling (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuropeptides and Animal Physiology (5 papers), Sleep and Wakefulness Research (4 papers), Cannabis and Cannabinoid Research (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (364 citations), Neurology (249 citations), Cognitive Neuroscience (317 citations), Behavioral Neuroscience (44 citations) and Epidemiology (324 citations). Kenneth Grasing has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sudhansu Chokroverty, Mary Wagner, Arthur Scott Walters, Hazel H. Szeto, Neil B. Kavey, Wayne A. Hening, Richard Mills, W. Hening, Stefan D. Schlussman and Ning Li. Their work appears in journals such as Behavioural Pharmacology, Pharmacology Biochemistry and Behavior, Neurochemical Research, Psychopharmacology and Behavioural Brain Research.

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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