Do Won Hwang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
Papers in
-
- RNA Interference and Gene Delivery 19
- Extracellular vesicles in disease 16
- Advanced biosensing and bioanalysis techniques 14
- Pluripotent Stem Cells Research 6
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- MicroRNA in disease regulation 15
- Co-authors
- Dong Soo Lee (25 shared papers)Soonhag Kim (13 shared papers)Dong Soo Lee (23 shared papers)Jae Min Jeong (9 shared papers)Hae Young Ko (5 shared papers)Minhyung Lee (4 shared papers)Minkyung Kim (2 shared papers)Gyeungyun Kim (2 shared papers)
- Journals
- Biomaterials (4 papers)Molecular Imaging (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Scientific Reports (3 papers)Oncotarget (2 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Do Won Hwang
74 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 828
- Molecular Biology 2.0k
- Biomaterials 304
- Developmental Neuroscience 52
- Biomedical Engineering 589
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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 259 | |
| 2 | 2009 | 251 | |
| 3 | 2011 | 208 | |
| 4 | 2015 | 202 | |
| 5 | 2018 | 185 | |
| 6 | 2010 | 117 | |
| 7 | 2016 | 92 | |
| 8 | 2008 | 91 | |
| 9 | 2009 | 80 | |
| 10 | 2019 | 77 | |
| 11 | 2022 | 60 | |
| 12 | 2009 | 59 | |
| 13 | 2009 | 57 | |
| 14 | 2008 | 53 | |
| 15 | 2009 | 50 | |
| 16 | Development of a sodium/iodide symporter (NIS)-transgenic mouse for imaging of cardiomyocyte-specific reporter gene expression. | 2005 | 46 |
| 17 | 2010 | 46 | |
| 18 | 2015 | 44 | |
| 19 | 2016 | 43 | |
| 20 | 2014 | 42 |
About Do Won Hwang
Do Won Hwang is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Cellular and Molecular Neuroscience and Genetics, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (15 papers), Advanced biosensing and bioanalysis techniques (14 papers), Pluripotent Stem Cells Research (6 papers), Graphene and Nanomaterials Applications (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cancer Research (828 citations), Molecular Biology (2.0k citations), Biomaterials (304 citations), Developmental Neuroscience (52 citations) and Biomedical Engineering (589 citations). Do Won Hwang has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Dong Soo Lee, Soonhag Kim, Dong Soo Lee, Jae Min Jeong, Hae Young Ko, Minhyung Lee, Minkyung Kim, Gyeungyun Kim, Jung Woo Byun and Yun‐Sang Lee. Their work appears in journals such as Biomaterials, Molecular Imaging, European Journal of Nuclear Medicine and Molecular Imaging, Scientific Reports and Oncotarget.
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.