DaYeon Lee

488 total citations
9 papers, 388 citations indexed

About

DaYeon Lee is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, DaYeon Lee has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Social Psychology. Recurrent topics in DaYeon Lee's work include Cannabis and Cannabinoid Research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neuroendocrine regulation and behavior (2 papers). DaYeon Lee is often cited by papers focused on Cannabis and Cannabinoid Research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neuroendocrine regulation and behavior (2 papers). DaYeon Lee collaborates with scholars based in United States, Italy and South Korea. DaYeon Lee's co-authors include Wei Don, Daniele Piomelli, Christine M. Gall, Daniel H. Geschwind, Carley A. Karsten, Conor D. Cox, Olga Peñagarikano, John M. Zeigler, Robin M. Hochstrasser and J.R.G. Thorne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Chemical Physics Letters.

In The Last Decade

DaYeon Lee

7 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
DaYeon Lee United States	5	170	101	96	88	55	9	388
Jillian Iafrati United States	12	50 0.3×	52 0.5×	184 1.9×	290 3.3×	149 2.7×	16	764
Outi Salminen Finland	22	149 0.9×	98 1.0×	69 0.7×	798 9.1×	33 0.6×	45	1.8k
Abigail I. Nash United States	13	102 0.6×	31 0.3×	45 0.5×	269 3.1×	8 0.1×	24	683
Matthew B. Young United States	11	100 0.6×	55 0.5×	91 0.9×	262 3.0×	66 1.2×	26	637
Wei Don United States	9	244 1.4×	171 1.7×	154 1.6×	150 1.7×	86 1.6×	17	588
David D. Aguilar United States	11	89 0.5×	14 0.1×	134 1.4×	143 1.6×	14 0.3×	14	316
Dan P. Covey United States	15	283 1.7×	36 0.4×	170 1.8×	511 5.8×	7 0.1×	26	713
Jarrah R. Spencer Australia	8	175 1.0×	25 0.2×	48 0.5×	120 1.4×	18 0.3×	11	411
Malcolm Weller United Kingdom	16	36 0.2×	65 0.6×	138 1.4×	226 2.6×	19 0.3×	56	873
Anna Larsson Sweden	15	26 0.2×	35 0.3×	60 0.6×	408 4.6×	8 0.1×	20	914

Countries citing papers authored by DaYeon Lee

Since Specialization

Citations

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

Fields of papers citing papers by DaYeon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DaYeon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of DaYeon Lee. A scholar is included among the top collaborators of DaYeon Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with DaYeon Lee. DaYeon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wu, Wen‐Chi, et al.. (2025). Impacts of message sensation value and message appeal on viewer responses to YouTube anti-bullying videos. Scientific Reports. 15(1). 10149–10149.

2.

Kim, Min Su, et al.. (2024). Superior photoluminescence of quantum dot displays via organic-inorganic composite scatterers. Composites Part B Engineering. 278. 111425–111425. 2 indexed citations

3.

Kim, Min Su, et al.. (2022). Optically isotropic nano-size encapsulation of nematic liquid crystals with a high-filling factor. Journal of Molecular Liquids. 359. 119254–119254. 4 indexed citations

4.

Maggino, Laura, Thomas F. Seykora, Giuseppe Malleo, et al.. (2018). Exploring the utility of early drain removal following distal pancreatectomy: a propensity score matched analysis. HPB. 20. S285–S285. 1 indexed citations

5.

Don, Wei, et al.. (2016). A role for the endocannabinoid 2-arachidonoyl-sn-glycerol for social and high-fat food reward in male mice. Psychopharmacology. 233(10). 1911–1919. 31 indexed citations

6.

McMillan, Matthew T., Stephen W. Behrman, Mark P. Callery, et al.. (2016). External stents for pancreatoduodenectomy provide value only in high risk scenarios. HPB. 18. e110–e111.

7.

Don, Wei, DaYeon Lee, Dandan Li, et al.. (2016). Enhancement of Anandamide-Mediated Endocannabinoid Signaling Corrects Autism-Related Social Impairment. Cannabis and Cannabinoid Research. 1(1). 81–89. 95 indexed citations

8.

Don, Wei, DaYeon Lee, Conor D. Cox, et al.. (2015). Endocannabinoid signaling mediates oxytocin-driven social reward. Proceedings of the National Academy of Sciences. 112(45). 14084–14089. 161 indexed citations

9.

Lee, DaYeon, et al.. (1988). Picosecond reorientations of the transition dipoles in polysilanes using fluorescence anisotropy. Chemical Physics Letters. 145(1). 75–80. 94 indexed citations

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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