Chyan E. Lau

1.3k citations
63 papers · 1.1k · h-index 22

Impact in

Papers in

Chyan E. Lau

63 papers receiving 1.1k citations

Peers

Chyan E. Lau
Comparison fields: 5 of 103
  • Toxicology 141
  • Cellular and Molecular Neuroscience 615
  • Behavioral Neuroscience 55
  • Pharmacology 204
  • Pharmacology 83
Replace Charles O. Rutledge with:
Charles O. Rutledge United States
Lars‐M. Gunne Sweden
Niemegeers Cj Belgium
J. I. Javaid United States
E. L. Way United States
Tomoji Yanagita Japan
H. Coper Germany
William D. Wessinger United States
Heather M. Haughey United States
John Jonsson Sweden
Chyan E. Lau relative to Charles O. Rutledge United States Charles O. Rutledge's profile →
Citations per field
00.5×8.5×
Charles O. Rutledge · 1×
Citations per year

Countries citing papers authored by Chyan E. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Chyan E. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chyan E. Lau. 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 Chyan E. Lau. The network helps show where Chyan E. Lau may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199978
2 199177
3 199146
4 199642
5 199936
6 201335
7 200233
8 199532
9 199430
10 199530
11 198729
12 199029
13 200028
14 198728
15 199925
16 199825
17
Simultaneous pharmacokinetic modeling of cocaine and its metabolites, norcocaine and benzoylecgonine, after intravenous and oral administration in rats.
200125
18 199724
19 199722
20 199921

About Chyan E. Lau

Chyan E. Lau is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Social Psychology and Toxicology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (38 papers), Neuroscience and Neuropharmacology Research (22 papers), Receptor Mechanisms and Signaling (12 papers), Neuroendocrine regulation and behavior (10 papers), Forensic Toxicology and Drug Analysis (9 papers), Behavioral and Psychological Studies (6 papers), Memory and Neural Mechanisms (6 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Toxicology (141 citations), Cellular and Molecular Neuroscience (615 citations), Behavioral Neuroscience (55 citations), Pharmacology (204 citations) and Pharmacology (83 citations). Chyan E. Lau has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include John L. Falk, Fang Ma, Lei Sun, Yunxia Wang, Lei Sun, Maisy Tang, Amit Roy, Anne C. Heatherington, Qiao Wang and Liying Jin. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Behavioural Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Experimental and Clinical Psychopharmacology and Psychopharmacology.

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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