Sung Hoon Sim
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Oncology 32
- Cancer Treatment and Pharmacology 10
- HER2/EGFR in Cancer Research 7
- Cancer survivorship and care 4
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- Breast Cancer Treatment Studies 14
- Cancer Genomics and Diagnostics 6
- Co-authors
- In Hae Park (26 shared papers)Keun Seok Lee (33 shared papers)Dae Seog Heo (12 shared papers)Se‐Hoon Lee (12 shared papers)Eun Sook Lee (13 shared papers)So‐Youn Jung (11 shared papers)Sun‐Young Kong (11 shared papers)Tae Min Kim (7 shared papers)
- Journals
- Cancer Research and Treatment (6 papers)Cancers (5 papers)Journal of Clinical Oncology (5 papers)Cancer Research (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sung Hoon Sim
74 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Oncology 360
- Cancer Research 194
- Microbiology 7
- Pulmonary and Respiratory Medicine 248
- Pathology and Forensic Medicine 86
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-authors
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
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2009 | 62 | |
| 3 | 2017 | 46 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 39 | |
| 7 | 2018 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2022 | 36 | |
| 10 | 2019 | 30 | |
| 11 | 1999 | 29 | |
| 12 | 2021 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2011 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2017 | 22 | |
| 18 | 2008 | 22 | |
| 19 | 2018 | 18 | |
| 20 | 2023 | 17 |
About Sung Hoon Sim
Sung Hoon Sim is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Advanced Breast Cancer Therapies (11 papers), Cancer Treatment and Pharmacology (10 papers), HER2/EGFR in Cancer Research (7 papers), Cancer Genomics and Diagnostics (6 papers), Cancer survivorship and care (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (360 citations), Cancer Research (194 citations), Microbiology (7 citations), Pulmonary and Respiratory Medicine (248 citations) and Pathology and Forensic Medicine (86 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, Cancers, Journal of Clinical Oncology, Cancer Research and Scientific Reports.
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.