Sung Hoon Sim
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 19
- Cancer Genomics and Diagnostics 8
- Oncology 50
- Cancer Treatment and Pharmacology 14
- HER2/EGFR in Cancer Research 10
- Cancer Cells and Metastasis 6
- Co-authors
- In Hae ParkKeun Seok LeeDae Seog HeoSe‐Hoon LeeEun Sook LeeSo‐Youn JungSun‐Young KongTae Min Kim
- Journals
- Cancer Research and Treatment (6 papers)Journal of Clinical Oncology (5 papers)Cancers (4 papers)Cancer Research (4 papers)BMC Cancer (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sung Hoon Sim
75 papers receiving 992 citations
Peers
Comparison fields: 5 of 96
- Oncology 493
- Cancer Research 230
- Pulmonary and Respiratory Medicine 325
- Microbiology 7
- Pathology and Forensic Medicine 115
Countries citing papers authored by Sung Hoon Sim
This map shows the geographic impact of Sung Hoon Sim'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 Hoon Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Hoon Sim more than expected).
Fields of papers citing papers by Sung Hoon Sim
This network shows the impact of papers produced by Sung Hoon Sim. 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 Hoon Sim. The network helps show where Sung Hoon Sim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung Hoon Sim, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 30 | |
| 16 | 2018 | 2 | |
| 17 | 2017 | 17 | |
| 18 | 2009 | 62 | |
| 19 | 2007 | 1 | |
| 20 | Bilateral Trade Balance between Korea and Her Trading Partners : the J-curve Effect | 2006 | 6 |
About Sung Hoon Sim
Sung Hoon Sim is a scholar working on Cancer Research, Oncology, Microbiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (19 papers), Cancer Treatment and Pharmacology (14 papers), Advanced Breast Cancer Therapies (12 papers), HER2/EGFR in Cancer Research (10 papers), Cancer Genomics and Diagnostics (8 papers), Lung Cancer Treatments and Mutations (8 papers), Breast Lesions and Carcinomas (7 papers) and Cancer Cells and Metastasis (6 papers). The work is most often cited by research in Oncology (493 citations), Cancer Research (230 citations), Pulmonary and Respiratory Medicine (325 citations), Microbiology (7 citations) and Pathology and Forensic Medicine (115 citations). Sung Hoon Sim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include In Hae Park, Keun Seok Lee, Dae Seog Heo, Se‐Hoon Lee, Eun Sook Lee, So‐Youn Jung, Sun‐Young Kong, Tae Min Kim, Dong‐Wan Kim and Seock‐Ah Im. Their work appears in journals such as Cancer Research and Treatment, Journal of Clinical Oncology, Cancers, Cancer Research and BMC Cancer.
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.