Dasol Han
Impact in
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- Hippo pathway signaling and YAP/TAZ
Papers in
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- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 3
- Wnt/β-catenin signaling in development and cancer 2
- CRISPR and Genetic Engineering 2
- RNA modifications and cancer 2
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- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Keejung Yoon (10 shared papers)Ju‐Wan Kim (6 shared papers)Kenneth S. Kosik (5 shared papers)Andrew P. Longhini (2 shared papers)Xuemei Zhang (2 shared papers)Samuel J. Pleasure (4 shared papers)Jae Youl Cho (5 shared papers)Maxwell Z. Wilson (2 shared papers)
- Journals
- Stem Cells and Development (3 papers)PLoS Biology (2 papers)Nature Communications (2 papers)Journal of Virology (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Dasol Han
18 papers receiving 301 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 76
- Developmental Neuroscience 15
- Cancer Research 42
- Molecular Biology 184
- Computational Mathematics 1
Countries citing papers authored by Dasol Han
This map shows the geographic impact of Dasol Han'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 Dasol Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dasol Han more than expected).
Fields of papers citing papers by Dasol Han
This network shows the impact of papers produced by Dasol Han. 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 Dasol Han. The network helps show where Dasol Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Dasol Han, 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 | 2015 | 38 | |
| 2 | 2022 | 38 | |
| 3 | 2022 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2014 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2019 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2022 | 1 |
About Dasol Han
Dasol Han is a scholar working on Molecular Biology, Cell Biology, Computer Vision and Pattern Recognition, Epidemiology and Developmental Neuroscience, having authored 18 papers that have together received 302 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Epigenetics and DNA Methylation (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced Neural Network Applications (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cell Biology (76 citations), Developmental Neuroscience (15 citations), Cancer Research (42 citations), Molecular Biology (184 citations) and Computational Mathematics (1 citation). Dasol Han has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Keejung Yoon, Ju‐Wan Kim, Kenneth S. Kosik, Andrew P. Longhini, Xuemei Zhang, Samuel J. Pleasure, Jae Youl Cho, Maxwell Z. Wilson, Maria Camila Almeida and Daniel Carneiro Carrettiero. Their work appears in journals such as Stem Cells and Development, PLoS Biology, Nature Communications, Journal of Virology and PLoS Pathogens.
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.