Dayong Lee

37 papers receiving 881 citations

Peers

Dayong Lee
Comparison fields: 5 of 77
  • Toxicology 500
  • Pharmacology 597
  • Pathology and Forensic Medicine 186
  • Emergency Medicine 58
  • Cellular and Molecular Neuroscience 119
Replace Eugene W Schwilke with:
Eugene W Schwilke United States
David M. Schwope United States
Madeleine J. Swortwood United States
Katja Mercer‐Chalmers‐Bender Germany
Matthew N. Newmeyer United States
Cristina Sempio United States
Marilyn A. Huestis United States
Ross H. Lowe United States
Anita Holmgren Sweden
Ronald Flegel United States
Dayong Lee relative to Eugene W Schwilke United States Eugene W Schwilke's profile →
Citations per field
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Eugene W Schwilke · 1×
Citations per year

Countries citing papers authored by Dayong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dayong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201378
3 201165
4 201360
5 201257
6 201250
7 201243
8 201340
9 201339
10 201638
11 201436
12 201536
13 201433
14 201529
15 201328
16 201427
17 201226
18 201321
19 201418
20 201416

About Dayong Lee

Dayong Lee is a scholar working on Pharmacology, Toxicology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Epidemiology, having authored 42 papers that have together received 926 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (24 papers), Cannabis and Cannabinoid Research (24 papers), Alcohol Consumption and Health Effects (10 papers), Opioid Use Disorder Treatment (7 papers), Substance Abuse Treatment and Outcomes (3 papers), Poisoning and overdose treatments (3 papers), Prenatal Substance Exposure Effects (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Toxicology (500 citations), Pharmacology (597 citations), Pathology and Forensic Medicine (186 citations), Emergency Medicine (58 citations) and Cellular and Molecular Neuroscience (119 citations). Dayong Lee has collaborated with scholars based in United States, Canada and Lithuania. Frequent co-authors include Marilyn A. Huestis, Allan J. Barnes, Garry Milman, David A. Gorelick, Nathalie A. Desrosiers, Ryan G. Vandrey, Robert S. Goodwin, David M. Schwope, Jussi Hirvonen and Marta Concheiro. Their work appears in journals such as Journal of Analytical Toxicology, Clinical Chemistry, Drug Testing and Analysis, Journal of Forensic Sciences and Drug and Alcohol Dependence.

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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