Gwang Lee
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
Papers in
-
- Machine Learning in Bioinformatics 28
- Metabolomics and Mass Spectrometry Studies 17
- Genetics 17
- Mesenchymal stem cell research 17
- Co-authors
- Balachandran Manavalan (49 shared papers)Tae Hwan Shin (48 shared papers)Shaherin Basith (42 shared papers)Phil Hyu Lee (10 shared papers)Oh Young Bang (7 shared papers)Jin Soo Lee (1 shared paper)Izumu Saito (5 shared papers)Sangdun Choi (23 shared papers)
- Journals
- Computers in Biology and Medicine (7 papers)Briefings in Bioinformatics (6 papers)Biomedical Chromatography (5 papers)International Journal of Molecular Sciences (5 papers)PLoS ONE (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Gwang Lee
160 papers receiving 9.2k citations
Gwang Lee's Hit Papers
Peers
Comparison fields: 5 of 160
- Genetics 1.2k
- Microbiology 521
- Developmental Neuroscience 247
- Molecular Biology 4k
- Neurology 738
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-authors
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
Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autologous mesenchymal stem cell transplantation in stroke patients Hit paper breakdown → | 2005 | 975 |
| 2 | 1995 | 576 | |
| 3 | 2004 | 354 | |
| 4 | 1998 | 276 | |
| 5 | 2020 | 258 | |
| 6 | 2017 | 238 | |
| 7 | 2018 | 238 | |
| 8 | 2008 | 208 | |
| 9 | 2018 | 204 | |
| 10 | 2019 | 202 | |
| 11 | 2007 | 197 | |
| 12 | 2018 | 192 | |
| 13 | 2020 | 185 | |
| 14 | 2019 | 171 | |
| 15 | 2018 | 164 | |
| 16 | 2008 | 158 | |
| 17 | 2018 | 148 | |
| 18 | 2022 | 138 | |
| 19 | 2020 | 136 | |
| 20 | 2019 | 135 |
About Gwang Lee
Gwang Lee is a scholar working on Molecular Biology, Genetics, Neurology, Neurology and Biomaterials, having authored 167 papers that have together received 9.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (28 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Mesenchymal stem cell research (17 papers), Analytical Chemistry and Chromatography (9 papers), Computational Drug Discovery Methods (9 papers), Nanoparticles: synthesis and applications (8 papers) and Nanoparticle-Based Drug Delivery (8 papers). The work is most often cited by research in Genetics (1.2k citations), Microbiology (521 citations), Developmental Neuroscience (247 citations), Molecular Biology (4k citations) and Neurology (738 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 Computers in Biology and Medicine, Briefings in Bioinformatics, Biomedical Chromatography, International Journal of Molecular Sciences 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.