Lynette C. Daws

6.4k citations
106 papers · 4.1k indexed · h-index 36

Lynette C. Daws

103 papers receiving 4.1k citations

Peers

Lynette C. Daws
Comparison fields: 5 of 120
  • Biological Psychiatry 506
  • Behavioral Neuroscience 485
  • Cellular and Molecular Neuroscience 2.4k
  • Endocrine and Autonomic Systems 417
  • Toxicology 120
Replace Colin N. Haile with:
Colin N. Haile United States
Vincenzo Micale Italy
Eleni T. Tzavara France
Leandro F. Vendruscolo United States
Tim Karl Australia
Albert Adell Spain
Roberto Frau Italy
Sharon Rosenzweig‐Lipson United States
Tiziana Rubino Italy
Gery Schulteis United States
Lynette C. Daws relative to Colin N. Haile United States Colin N. Haile's profile →
Citations per field
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Colin N. Haile · 1×
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-authorship network

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
#Work
1 20251
2 20240
3 20239
4 20235
5 20222
6 20219
7 202021
8 202027
9 20199
10 201813
11 201810
12 20179
13 201341
14 201358
15 20131
16 2012246
17 201234
18 200568
19 200530
20 200386

About Lynette C. Daws

Lynette C. Daws is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry, Endocrine and Autonomic Systems and Toxicology, having authored 106 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (77 papers), Neuroscience and Neuropharmacology Research (51 papers), Receptor Mechanisms and Signaling (45 papers), Stress Responses and Cortisol (12 papers), Regulation of Appetite and Obesity (11 papers), Tryptophan and brain disorders (8 papers), Cannabis and Cannabinoid Research (7 papers) and Pharmacological Receptor Mechanisms and Effects (6 papers). The work is most often cited by research in Biological Psychiatry (506 citations), Behavioral Neuroscience (485 citations), Cellular and Molecular Neuroscience (2.4k citations), Endocrine and Autonomic Systems (417 citations) and Toxicology (120 citations). Lynette C. Daws has collaborated with scholars based in United States, France and Australia. Frequent co-authors include William A. Owens, Georgianna G. Gould, Aurelio Galli, Wouter Koek, Alan Frazer, Randy Blakely, Greg A. Gerhardt, Rebecca E. Horton, Glenn M. Toney and Sylvia Montañez. Their work appears in journals such as Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Journal of Neuroscience and The FASEB Journal.

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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