Hwan Lee
Impact in
- Health Informatics top 5%
-
- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
Papers in
-
- Vehicular Ad Hoc Networks (VANETs) 3
- Oncology 12
- PARP inhibition in cancer therapy 4
- Co-authors
- Hyosun Cho (2 shared papers)Hyojeung Kang (2 shared papers)Chang Wook Kim (1 shared paper)Daniel A. Pryma (11 shared papers)Austen J. Milnerwood (2 shared papers)Lynn A. Raymond (2 shared papers)Marja D. Sepers (2 shared papers)Max S. Cynader (2 shared papers)
- Journals
- Molecules (3 papers)Journal of Nuclear Medicine (3 papers)Applied Sciences (2 papers)Molecular Imaging and Biology (1 paper)The Oncologist (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Hwan Lee
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 131
- Health Informatics 36
- Cellular and Molecular Neuroscience 142
- Oncology 192
- Neurology 94
- Hematology 66
Countries citing papers authored by Hwan Lee
This map shows the geographic impact of Hwan 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 Hwan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwan Lee more than expected).
Fields of papers citing papers by Hwan Lee
This network shows the impact of papers produced by Hwan 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 Hwan Lee. The network helps show where Hwan Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hwan 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 120 | |
| 2 | 2012 | 110 | |
| 3 | 2017 | 82 | |
| 4 | 2012 | 58 | |
| 5 | 2021 | 45 | |
| 6 | 2018 | 43 | |
| 7 | 2016 | 42 | |
| 8 | 2019 | 42 | |
| 9 | 2013 | 36 | |
| 10 | 2019 | 29 | |
| 11 | 2012 | 28 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2014 | 17 | |
| 20 | 2022 | 15 |
About Hwan Lee
Hwan Lee is a scholar working on Electrical and Electronic Engineering, Oncology, Epidemiology, Civil and Structural Engineering and Molecular Biology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers), PARP inhibition in cancer therapy (4 papers), Concrete and Cement Materials Research (3 papers), Neuroblastoma Research and Treatments (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Magnesium Oxide Properties and Applications (3 papers) and Engineering Applied Research (3 papers). The work is most often cited by research in Health Informatics (36 citations), Cellular and Molecular Neuroscience (142 citations), Oncology (192 citations), Neurology (94 citations) and Hematology (66 citations). Hwan Lee has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Hyosun Cho, Hyojeung Kang, Chang Wook Kim, Daniel A. Pryma, Austen J. Milnerwood, Lynn A. Raymond, Marja D. Sepers, Max S. Cynader, Reza Assadsangabi and Ann Marie Craig. Their work appears in journals such as Molecules, Journal of Nuclear Medicine, Applied Sciences, Molecular Imaging and Biology and The Oncologist.
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.