Sung‐Im Do
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Cells and Metastasis
Papers in
- Oncology 21
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 4
- Co-authors
- Hyun Soo Kim (31 shared papers)Seoung Wan Chae (29 shared papers)Kyungeun Kim (22 shared papers)Chan Heun Park (14 shared papers)Jin Hee Sohn (21 shared papers)Yong Lai Park (12 shared papers)Eun Young Kim (6 shared papers)Dong Hoon Kim (13 shared papers)
- Journals
- Anticancer Research (22 papers)Tumor Biology (4 papers)Oncotarget (2 papers)Apmis (1 paper)Brazilian Journal of Medical and Biological Research (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Sung‐Im Do
84 papers receiving 911 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 208
- Oncology 248
- Obstetrics and Gynecology 49
- Reproductive Medicine 39
- Molecular Biology 309
Countries citing papers authored by Sung‐Im Do
This map shows the geographic impact of Sung‐Im Do'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 Sung‐Im Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Im Do more than expected).
Fields of papers citing papers by Sung‐Im Do
This network shows the impact of papers produced by Sung‐Im Do. 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 Sung‐Im Do. The network helps show where Sung‐Im Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Im Do, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 103 | |
| 2 | 2013 | 42 | |
| 3 | 2019 | 37 | |
| 4 | 2014 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 28 | |
| 10 | 2012 | 26 | |
| 11 | 2008 | 24 | |
| 12 | 2016 | 19 | |
| 13 | 2013 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2013 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2017 | 14 |
About Sung‐Im Do
Sung‐Im Do is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 85 papers that have together received 932 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Cancer Cells and Metastasis (6 papers), Cancer and Skin Lesions (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Metastasis and carcinoma case studies (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Cancer-related Molecular Pathways (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Cancer Research (208 citations), Oncology (248 citations), Obstetrics and Gynecology (49 citations), Reproductive Medicine (39 citations) and Molecular Biology (309 citations). Sung‐Im Do has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Hyun Soo Kim, Seoung Wan Chae, Kyungeun Kim, Chan Heun Park, Jin Hee Sohn, Yong Lai Park, Eun Young Kim, Dong Hoon Kim, Kwan Ho Lee and Jung‐Soo Pyo. Their work appears in journals such as Anticancer Research, Tumor Biology, Oncotarget, Apmis and Brazilian Journal of Medical and Biological Research.
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.