Do Won Hwang
Impact in
- Molecular Biology top 5%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
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- Neurogenesis and neuroplasticity mechanisms 9
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- MicroRNA in disease regulation 10
- Co-authors
- Dong Soo Lee (48 shared papers)Soonhag Kim (13 shared papers)Jae Min Jeong (9 shared papers)Minhyung Lee (4 shared papers)Hae Young Ko (5 shared papers)Gyeungyun Kim (2 shared papers)Minkyung Kim (2 shared papers)Jung Woo Byun (6 shared papers)
- Journals
- Journal of Nuclear Medicine (5 papers)Scientific Reports (4 papers)Biomaterials (4 papers)Molecular Imaging (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Do Won Hwang
77 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.9k
- Biomaterials 343
- Cancer Research 353
- Developmental Neuroscience 58
- Neurology 127
Countries citing papers authored by Do Won Hwang
This map shows the geographic impact of Do Won Hwang'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 Do Won Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do Won Hwang more than expected).
Fields of papers citing papers by Do Won Hwang
This network shows the impact of papers produced by Do Won Hwang. 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 Do Won Hwang. The network helps show where Do Won Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Do Won Hwang, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 349 | |
| 2 | 2019 | 271 | |
| 3 | 2009 | 259 | |
| 4 | 2011 | 210 | |
| 5 | 2015 | 208 | |
| 6 | 2018 | 199 | |
| 7 | 2010 | 119 | |
| 8 | 2017 | 94 | |
| 9 | 2016 | 92 | |
| 10 | 2008 | 91 | |
| 11 | 2009 | 81 | |
| 12 | 2019 | 78 | |
| 13 | 2022 | 67 | |
| 14 | 2009 | 58 | |
| 15 | 2009 | 58 | |
| 16 | 2008 | 54 | |
| 17 | 2009 | 50 | |
| 18 | 2010 | 48 | |
| 19 | Development of a sodium/iodide symporter (NIS)-transgenic mouse for imaging of cardiomyocyte-specific reporter gene expression. | 2005 | 46 |
| 20 | 2016 | 45 |
About Do Won Hwang
Do Won Hwang is a scholar working on Developmental Neuroscience, Cancer Research, Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 3.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (17 papers), MicroRNA in disease regulation (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biomaterials (343 citations), Cancer Research (353 citations), Developmental Neuroscience (58 citations) and Neurology (127 citations). Do Won Hwang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Dong Soo Lee, Soonhag Kim, Jae Min Jeong, Minhyung Lee, Hae Young Ko, Gyeungyun Kim, Minkyung Kim, Jung Woo Byun, In Chan Song and Yun‐Sang Lee. Their work appears in journals such as Journal of Nuclear Medicine, Scientific Reports, Biomaterials, Molecular Imaging and European Journal of Nuclear Medicine and Molecular Imaging.
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.