Do‐Hyun Nam
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 50
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 12
- MicroRNA in disease regulation 12
- Oncology top 1%
- Cancer Cells and Metastasis 24
- Molecular Biology top 2%
- Angiogenesis and VEGF in Cancer 12
- Developmental Neuroscience top 5%
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- Meningioma and schwannoma management 12
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- 3D Printing in Biomedical Research 10
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- Brain Metastases and Treatment 7
- Co-authors
- Jeongwu LeeKyeung Min JooDoo‐Sik KongMyung Jin SonWoong‐Yang ParkHoward A. FineKevin WoolardJuyoun Jin
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Nature Communications (1 paper)Nature Genetics (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Do‐Hyun Nam
141 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 2.2k
- Cancer Research 2.2k
- Oncology 2.4k
- Molecular Biology 3.6k
- Developmental Neuroscience 154
Countries citing papers authored by Do‐Hyun Nam
This map shows the geographic impact of Do‐Hyun Nam'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‐Hyun Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Hyun Nam more than expected).
Fields of papers citing papers by Do‐Hyun Nam
This network shows the impact of papers produced by Do‐Hyun Nam. 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‐Hyun Nam. The network helps show where Do‐Hyun Nam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Do‐Hyun Nam, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2019 | 8 | |
| 6 | 2015 | 91 | |
| 7 | 2012 | 67 | |
| 8 | 2012 | 135 | |
| 9 | 2011 | 125 | |
| 10 | 2011 | 117 | |
| 11 | 2011 | 19 | |
| 12 | 2011 | 123 | |
| 13 | 2010 | 139 | |
| 14 | 2010 | 46 | |
| 15 | Comparison between Operatic Singing and Applied Music Singing | 2010 | 2 |
| 16 | Correlation Between the External Laryngeal Length and the Habitual Speaking Fundamental Frequency | 2009 | 2 |
| 17 | 2008 | 61 | |
| 18 | 2006 | 60 | |
| 19 | 2006 | 9 | |
| 20 | 2006 | 11 |
About Do‐Hyun Nam
Do‐Hyun Nam is a scholar working on Genetics, Cancer Research and Oncology, having authored 144 papers that have together received 7.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (50 papers), Cancer Cells and Metastasis (24 papers), Cancer Genomics and Diagnostics (12 papers), MicroRNA in disease regulation (12 papers), Angiogenesis and VEGF in Cancer (12 papers), Meningioma and schwannoma management (12 papers), 3D Printing in Biomedical Research (10 papers) and Brain Metastases and Treatment (7 papers). The work is most often cited by research in Genetics (2.2k citations), Cancer Research (2.2k citations) and Oncology (2.4k citations). Do‐Hyun Nam has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeongwu Lee, Kyeung Min Joo, Doo‐Sik Kong, Myung Jin Son, Woong‐Yang Park, Howard A. Fine, Kevin Woolard, Juyoun Jin, Jin‐Ku Lee and Ho Jun Seol. Their work appears in journals such as Nature Communications, Nature Genetics and The Journal of Experimental Medicine.
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.