Dae‐Soon Son
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 10%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 8
-
- Sinusitis and nasal conditions 4
- Co-authors
- Woong‐Yang Park (15 shared papers)Donghyun Park (9 shared papers)Yeon Jeong Kim (5 shared papers)Gahee Park (4 shared papers)Jinseon Lee (8 shared papers)Jhingook Kim (4 shared papers)Seung‐Ho Shin (4 shared papers)Jeeyun Lee (2 shared papers)
- Journals
- Scientific Reports (5 papers)Cells (3 papers)Journal of Medical Internet Research (3 papers)International Journal of Cancer (2 papers)Oncotarget (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Dae‐Soon Son
42 papers receiving 957 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 223
- Oncology 261
- Health Informatics 19
- Molecular Biology 278
- Pulmonary and Respiratory Medicine 134
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 232 | |
| 2 | 2007 | 90 | |
| 3 | 2020 | 87 | |
| 4 | 2017 | 44 | |
| 5 | 2018 | 43 | |
| 6 | 2023 | 43 | |
| 7 | 2019 | 41 | |
| 8 | 2016 | 38 | |
| 9 | 2007 | 36 | |
| 10 | 2022 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2007 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2005 | 17 | |
| 16 | 2017 | 17 | |
| 17 | 2025 | 17 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2022 | 13 |
About Dae‐Soon Son
Dae‐Soon Son is a scholar working on Cancer Research, Otorhinolaryngology, Genetics, Health Information Management and Molecular Biology, having authored 46 papers that have together received 987 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (7 papers), Gene expression and cancer classification (5 papers), Sinusitis and nasal conditions (4 papers), Genomics and Phylogenetic Studies (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Dementia and Cognitive Impairment Research (2 papers) and Digitalization, Law, and Regulation (2 papers). The work is most often cited by research in Cancer Research (223 citations), Oncology (261 citations), Health Informatics (19 citations), Molecular Biology (278 citations) and Pulmonary and Respiratory Medicine (134 citations). Dae‐Soon Son has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Woong‐Yang Park, Donghyun Park, Yeon Jeong Kim, Gahee Park, Jinseon Lee, Jhingook Kim, Seung‐Ho Shin, Jeeyun Lee, Jongsuk Chung and Joo Kyung Park. Their work appears in journals such as Scientific Reports, Cells, Journal of Medical Internet Research, International Journal of Cancer 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.