Gwang Lee
- Developmental Neuroscience top 0.5%
- Genetics top 0.5%
- Mesenchymal stem cell research 16
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities 9
- Molecular Biology top 1%
- Machine Learning in Bioinformatics 29
- RNA and protein synthesis mechanisms 15
- Metabolomics and Mass Spectrometry Studies 14
- vaccines and immunoinformatics approaches 13
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 12
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- Analytical Chemistry and Chromatography 9
- Co-authors
- Balachandran ManavalanTae Hwan ShinShaherin BasithPhil Hyu LeeOh Young BangJin Soo LeeIzumu SaitoSangdun Choi
- Journals
- International Journal of Molecular Sciences (5 papers)Biomedical Chromatography (5 papers)Briefings in Bioinformatics (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Gwang Lee
154 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Developmental Neuroscience 574
- Genetics 1.2k
- Microbiology 678
- Molecular Biology 5.2k
- Neurology 539
Countries citing papers authored by Gwang Lee
This map shows the geographic impact of Gwang 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 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 Lee more than expected).
Fields of papers citing papers by Gwang Lee
This network shows the impact of papers produced by Gwang 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 Lee. The network helps show where Gwang Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gwang 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 52 | |
| 7 | 2019 | 83 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 221 | |
| 10 | 2017 | 62 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 20 | |
| 13 | A Study on Pilot-test of the CCTV Fog Visibility Measurement System | 2012 | 0 |
| 14 | A Study On 3D Design Model-based-visualization System to Support Pipe Maintenance | 2011 | 1 |
| 15 | 2010 | 17 | |
| 16 | 2009 | 52 | |
| 17 | 2009 | 26 | |
| 18 | 2007 | 188 | |
| 19 | 2007 | 9 | |
| 20 | Inclusion Body Formation and Apoptotic Cell Death in the Human Neural Stem Cells HB1.F3 Following Gene Transfection of Alpha-Synuclein and Synphilin-1 | 2007 | 1 |
About Gwang Lee
Gwang Lee is a scholar working on Developmental Neuroscience, Genetics, Neurology, Microbiology and Molecular Biology, having authored 159 papers that have together received 8.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (29 papers), Mesenchymal stem cell research (16 papers), RNA and protein synthesis mechanisms (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers), vaccines and immunoinformatics approaches (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Analytical Chemistry and Chromatography (9 papers) and Antimicrobial Peptides and Activities (9 papers). The work is most often cited by research in Developmental Neuroscience (574 citations), Genetics (1.2k citations), Microbiology (678 citations), Molecular Biology (5.2k citations) and Neurology (539 citations). Gwang Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Balachandran Manavalan, Tae Hwan Shin, Shaherin Basith, Phil Hyu Lee, Oh Young Bang, Jin Soo Lee, Izumu Saito, Sangdun Choi, Myeong Ok Kim and Leyi Wei. Their work appears in journals such as International Journal of Molecular Sciences, Biomedical Chromatography, Briefings in Bioinformatics, Computers in Biology and Medicine and PLoS ONE.
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.