Nakyung Lee
Impact in
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Synthesis and Biological Evaluation
- Synthesis and biological activity
- Catalytic C–H Functionalization Methods
Papers in
-
- Trypanosoma species research and implications 5
- Influenza Virus Research Studies 2
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Gyongseon Yang (3 shared papers)Lúcio H. Freitas-Júnior (4 shared papers)David Shum (6 shared papers)Joo Hwan No (2 shared papers)Sangmi Oh (3 shared papers)Rita Song (3 shared papers)Jair L. Siqueira-Neto (3 shared papers)Jean‐Robert Ioset (2 shared papers)
- Journals
- SLAS DISCOVERY (2 papers)Immune Network (2 papers)European Journal of Medicinal Chemistry (1 paper)mBio (1 paper)Vaccines (1 paper)
- Partner nations
- South KoreaSwitzerlandUnited States
In The Last Decade
Nakyung Lee
14 papers receiving 218 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 61
- Organic Chemistry 80
- Public Health, Environmental and Occupational Health 76
- Epidemiology 74
- Parasitology 8
Countries citing papers authored by Nakyung Lee
This map shows the geographic impact of Nakyung 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 Nakyung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nakyung Lee more than expected).
Fields of papers citing papers by Nakyung Lee
This network shows the impact of papers produced by Nakyung 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 Nakyung Lee. The network helps show where Nakyung Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Nakyung 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 45 | |
| 2 | 2014 | 29 | |
| 3 | 2014 | 25 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2018 | 15 | |
| 7 | 2016 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2013 | 5 | |
| 13 | 2021 | 1 | |
| 14 | A Study of Factors Affecting the Credibility of Sponsored Posts Created by Instagram Influencers | 2019 | 1 |
About Nakyung Lee
Nakyung Lee is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Organic Chemistry and Small Animals, having authored 14 papers that have together received 222 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Trypanosoma species research and implications (5 papers), Synthesis and Biological Evaluation (3 papers), COVID-19 Clinical Research Studies (3 papers), Influenza Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (61 citations), Organic Chemistry (80 citations), Public Health, Environmental and Occupational Health (76 citations), Epidemiology (74 citations) and Parasitology (8 citations). Nakyung Lee has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Gyongseon Yang, Lúcio H. Freitas-Júnior, David Shum, Joo Hwan No, Sangmi Oh, Rita Song, Jair L. Siqueira-Neto, Jean‐Robert Ioset, Dawoon Han and Sung‐Bum Kim. Their work appears in journals such as SLAS DISCOVERY, Immune Network, European Journal of Medicinal Chemistry, mBio and Vaccines.
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.