Dasol Han
Impact in
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- Hippo pathway signaling and YAP/TAZ
Papers in
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- Hippo pathway signaling and YAP/TAZ 4
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- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Developmental Biology and Gene Regulation 2
- Co-authors
- Keejung Yoon (11 shared papers)Kenneth S. Kosik (5 shared papers)Andrew P. Longhini (2 shared papers)Samuel J. Pleasure (4 shared papers)Xuemei Zhang (2 shared papers)Jae Youl Cho (6 shared papers)Maxwell Z. Wilson (3 shared papers)Maria Camila Almeida (3 shared papers)
- Journals
- Stem Cells and Development (3 papers)Nature Communications (3 papers)PLoS Biology (2 papers)Antiviral Research (1 paper)Neuron (1 paper)
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Dasol Han
19 papers receiving 345 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 81
- Developmental Neuroscience 15
- Molecular Biology 198
- Cancer Research 38
- Neurology 15
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 | 2022 | 43 | |
| 2 | 2015 | 41 | |
| 3 | 2022 | 36 | |
| 4 | 2018 | 32 | |
| 5 | 2014 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2020 | 11 | |
| 13 | 2014 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2022 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2020 | 0 |
About Dasol Han
Dasol Han is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Epidemiology and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 348 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced Neural Network Applications (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Cell Biology (81 citations), Developmental Neuroscience (15 citations), Molecular Biology (198 citations), Cancer Research (38 citations) and Neurology (15 citations). Dasol Han has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Keejung Yoon, Kenneth S. Kosik, Andrew P. Longhini, Samuel J. Pleasure, Xuemei Zhang, Jae Youl Cho, Maxwell Z. Wilson, Maria Camila Almeida, Daniel Carneiro Carrettiero and Jin‐Hyun Ahn. Their work appears in journals such as Stem Cells and Development, Nature Communications, PLoS Biology, Antiviral Research and Neuron.
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.