Lynette C. Daws

6.4k citations
108 papers · 4.4k · h-index 37

Impact in

Papers in

Lynette C. Daws

104 papers receiving 4.3k citations

Peers

Lynette C. Daws
Comparison fields: 5 of 113
  • Biological Psychiatry 247
  • Cellular and Molecular Neuroscience 2.3k
  • Behavioral Neuroscience 170
  • Pharmacology 516
  • Electrochemistry 92
Replace M. H. Joseph with:
M. H. Joseph United Kingdom
Kenneth W. Perry United States
Bruno Pierre Guiard France
Gianluigi Tanda United States
L L Iversen United Kingdom
William John Hannan McBride United States
Roberto William Invernizzi Italy
Kenneth E. Moore United States
Dennis F. Sharman United Kingdom
Dennis E. Schmidt United States
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Citations per year

Countries citing papers authored by Lynette C. Daws

Since Specialization
Citations

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

Fields of papers citing papers by Lynette C. Daws

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynette C. Daws. 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 Lynette C. Daws. The network helps show where Lynette C. Daws may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010271
2 2012271
3 2006185
4 2008181
5 2002164
6 2007158
7 2008144
8 2010117
9 2007114
10 201196
11 201195
12 201791
13 200390
14 201079
15 201377
16 200075
17 200673
18 200572
19 201171
20 200470

About Lynette C. Daws

Lynette C. Daws is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Behavioral Neuroscience, Cognitive Neuroscience and Electrochemistry, having authored 108 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (78 papers), Neuroscience and Neuropharmacology Research (19 papers), Treatment of Major Depression (17 papers), Drug Transport and Resistance Mechanisms (6 papers), Stress Responses and Cortisol (5 papers), Autism Spectrum Disorder Research (5 papers), Electrochemical Analysis and Applications (3 papers) and Schizophrenia research and treatment (2 papers). The work is most often cited by research in Biological Psychiatry (247 citations), Cellular and Molecular Neuroscience (2.3k citations), Behavioral Neuroscience (170 citations), Pharmacology (516 citations) and Electrochemistry (92 citations). Lynette C. Daws has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include William Anthony Owens, Georgianna G. Gould, Aurelio Galli, Alan Frazer, Randy Blakely, Wouter Koek, Glenn M. Toney, Greg A. Gerhardt, Rebecca E. Horton and Sylvia Montañez. Their work appears in journals such as Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Journal of Neuroscience, European Journal of Pharmacology and Neuropsychopharmacology.

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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