Gwang Bin Lee
Impact in
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- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
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- Metabolomics and Mass Spectrometry Studies 9
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Myeong Hee Moon (11 shared papers)Young Beom Kim (3 shared papers)Jong Cheol Lee (3 shared papers)Sangwon Cha (4 shared papers)Joon Seon Yang (2 shared papers)Sang-Eun Bae (1 shared paper)Seong Huh (1 shared paper)Je Kyung Seong (3 shared papers)
- Journals
- Analytica Chimica Acta (3 papers)Analytical Chemistry (2 papers)Journal of the American Society for Mass Spectrometry (2 papers)Journal of Chromatography B (2 papers)The Analyst (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Gwang Bin Lee
19 papers receiving 301 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 68
- Spectroscopy 84
- Aging 5
- Molecular Biology 191
- Computational Mechanics 56
Countries citing papers authored by Gwang Bin Lee
This map shows the geographic impact of Gwang Bin 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 Gwang Bin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwang Bin Lee more than expected).
Fields of papers citing papers by Gwang Bin Lee
This network shows the impact of papers produced by Gwang Bin 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 Gwang Bin Lee. The network helps show where Gwang Bin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Gwang Bin 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 | 2019 | 65 | |
| 2 | 2020 | 45 | |
| 3 | 2022 | 44 | |
| 4 | 2014 | 35 | |
| 5 | 2023 | 21 | |
| 6 | 2015 | 17 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 1 | |
| 18 | Lipid alterations in the skeletal muscle tissues of mice after weight regain by feeding a high-fat diet using nanoflow ultrahigh performance liquid chromatography-tandem mass spectrometry | 2020 | 1 |
| 19 | 2025 | 1 |
About Gwang Bin Lee
Gwang Bin Lee is a scholar working on Molecular Biology, Spectroscopy, Computational Mechanics, Physiology and Cancer Research, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Field-Flow Fractionation Techniques (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Cancer, Lipids, and Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (68 citations), Spectroscopy (84 citations), Aging (5 citations), Molecular Biology (191 citations) and Computational Mechanics (56 citations). Gwang Bin Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Myeong Hee Moon, Young Beom Kim, Jong Cheol Lee, Sangwon Cha, Joon Seon Yang, Sang-Eun Bae, Seong Huh, Je Kyung Seong, Ling Hao and Il Yong Kim. Their work appears in journals such as Analytica Chimica Acta, Analytical Chemistry, Journal of the American Society for Mass Spectrometry, Journal of Chromatography B and The Analyst.
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.