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
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Breast Cancer Treatment Studies 11
- Oncology 35
- Cancer Cells and Metastasis 10
- Cancer Immunotherapy and Biomarkers 7
- Cancer-related Molecular Pathways 5
- Co-authors
- Hyun Soo KimSeoung Wan ChaeKyungeun KimChan Heun ParkJin Hee SohnYong Lai ParkEun Young KimDong Hoon Kim
- Journals
- Anticancer Research (22 papers)Tumor Biology (4 papers)Oncotarget (2 papers)Clinical Radiology (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Sung‐Im Do
83 papers receiving 892 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 258
- Oncology 340
- Obstetrics and Gynecology 65
- Pathology and Forensic Medicine 127
- Reproductive Medicine 57
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 28 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 31 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 1 | |
| 17 | 2012 | 13 | |
| 18 | 2012 | 26 | |
| 19 | 2012 | 11 | |
| 20 | Correlation Between Cyclooxygenase-2 Expression and HuR Cytoplasmic Translocation of Breast Cancer | 2008 | 4 |
About Sung‐Im Do
Sung‐Im Do is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Dermatology and Immunology and Allergy, having authored 84 papers that have together received 913 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Cancer Cells and Metastasis (10 papers), Cancer Immunotherapy and Biomarkers (7 papers), Metastasis and carcinoma case studies (6 papers), Breast Lesions and Carcinomas (6 papers), Cancer and Skin Lesions (6 papers), Cancer-related Molecular Pathways (5 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Cancer Research (258 citations), Oncology (340 citations), Obstetrics and Gynecology (65 citations), Pathology and Forensic Medicine (127 citations) and Reproductive Medicine (57 citations). Sung‐Im Do has collaborated with scholars based in South Korea, United States and Sweden. 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, Clinical Radiology and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.
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.