Dae‐Soon Son
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Pancreatic and Hepatic Oncology Research
Papers in
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- Cancer Genomics and Diagnostics 14
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- Single-cell and spatial transcriptomics 3
- Molecular Biology Techniques and Applications 3
- RNA modifications and cancer 3
- Co-authors
- Woong‐Yang Park (17 shared papers)Donghyun Park (12 shared papers)Hyo Jeong Jeon (7 shared papers)Yeon Jeong Kim (6 shared papers)Jinseon Lee (9 shared papers)Chang Eun Yoo (4 shared papers)Gahee Park (4 shared papers)Hae‐Ock Lee (3 shared papers)
- Journals
- Scientific Reports (5 papers)Cells (3 papers)Journal of Medical Internet Research (2 papers)Oncotarget (2 papers)Journal of Thoracic Oncology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Dae‐Soon Son
41 papers receiving 826 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 271
- Oncology 150
- Molecular Biology 371
- Pathology and Forensic Medicine 69
- Otorhinolaryngology 15
Countries citing papers authored by Dae‐Soon Son
This map shows the geographic impact of Dae‐Soon Son'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 Dae‐Soon Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Soon Son more than expected).
Fields of papers citing papers by Dae‐Soon Son
This network shows the impact of papers produced by Dae‐Soon Son. 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 Dae‐Soon Son. The network helps show where Dae‐Soon Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae‐Soon Son, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2007 | 84 | |
| 3 | 2020 | 73 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 39 | |
| 7 | 2019 | 39 | |
| 8 | 2023 | 36 | |
| 9 | 2007 | 36 | |
| 10 | 2016 | 35 | |
| 11 | 2016 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2007 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2005 | 18 | |
| 17 | 2017 | 15 | |
| 18 | 2025 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2019 | 12 |
About Dae‐Soon Son
Dae‐Soon Son is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 44 papers that have together received 847 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Genomics and Rare Diseases (4 papers), Sinusitis and nasal conditions (3 papers), Single-cell and spatial transcriptomics (3 papers), Molecular Biology Techniques and Applications (3 papers), Lung Cancer Treatments and Mutations (3 papers), Genetic factors in colorectal cancer (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (271 citations), Oncology (150 citations), Molecular Biology (371 citations), Pathology and Forensic Medicine (69 citations) and Otorhinolaryngology (15 citations). Dae‐Soon Son has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Woong‐Yang Park, Donghyun Park, Hyo Jeong Jeon, Yeon Jeong Kim, Jinseon Lee, Chang Eun Yoo, Gahee Park, Hae‐Ock Lee, Hye Hyeon Eum and Jhingook Kim. Their work appears in journals such as Scientific Reports, Cells, Journal of Medical Internet Research, Oncotarget and Journal of Thoracic Oncology.
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.