Juhan Lee
Impact in
- Applied Psychology top 10%
- Behavioral Health and Interventions
- Physiology top 10%
- Smoking Behavior and Cessation
Papers in
- Physiology 37
- Smoking Behavior and Cessation 35
- Pharmacology 11
- Cannabis and Cannabinoid Research 9
- Co-authors
- Grace Kong (20 shared papers)Ramzi G. Salloum (15 shared papers)Andy S.L. Tan (6 shared papers)Sakinah C. Suttiratana (2 shared papers)Suchitra Krishnan‐Sarin (7 shared papers)Yi‐Min Wang (5 shared papers)Roussi Roussev (5 shared papers)Dhiraj Murthy (7 shared papers)
- Journals
- Nicotine & Tobacco Research (8 papers)Addictive Behaviors (7 papers)American Journal of Preventive Medicine (6 papers)Substance Use & Misuse (6 papers)Preventive Medicine (4 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Juhan Lee
68 papers receiving 599 citations
Peers
Comparison fields: 5 of 116
- Applied Psychology 70
- Physiology 267
- Neurology 41
- Communication 30
- Pharmacology 68
Countries citing papers authored by Juhan Lee
This map shows the geographic impact of Juhan 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 Juhan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juhan Lee more than expected).
Fields of papers citing papers by Juhan Lee
This network shows the impact of papers produced by Juhan 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 Juhan Lee. The network helps show where Juhan Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Juhan Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 71 | |
| 2 | 2023 | 53 | |
| 3 | 2006 | 43 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 32 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2006 | 8 | |
| 20 | 2023 | 7 |
About Juhan Lee
Juhan Lee is a scholar working on Physiology, Pharmacology, Sociology and Political Science, Public Health, Environmental and Occupational Health and Electrical and Electronic Engineering, having authored 79 papers that have together received 611 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (35 papers), Cannabis and Cannabinoid Research (9 papers), Behavioral Health and Interventions (6 papers), Obesity, Physical Activity, Diet (6 papers), LGBTQ Health, Identity, and Policy (5 papers), Impact of Technology on Adolescents (4 papers), Sexuality, Behavior, and Technology (4 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Applied Psychology (70 citations), Physiology (267 citations), Neurology (41 citations), Communication (30 citations) and Pharmacology (68 citations). Juhan Lee has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Grace Kong, Ramzi G. Salloum, Andy S.L. Tan, Sakinah C. Suttiratana, Suchitra Krishnan‐Sarin, Yi‐Min Wang, Roussi Roussev, Dhiraj Murthy, Chad Verbowski and Antonio Mazzocca. Their work appears in journals such as Nicotine & Tobacco Research, Addictive Behaviors, American Journal of Preventive Medicine, Substance Use & Misuse and Preventive Medicine.
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.