S-A. Im
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- Cancer Treatment and Pharmacology
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in ⓘ
- Oncology 74
- Cancer Treatment and Pharmacology 39
- HER2/EGFR in Cancer Research 37
- Cancer Immunotherapy and Biomarkers 13
- PARP inhibition in cancer therapy 10
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- Advanced Breast Cancer Therapies 50
- Brain Metastases and Treatment 5
- Co-authors
- Y-J. Bang (5 shared papers)S-B. Kim (15 shared papers)Tae‐Yop Kim (7 shared papers)Won Ho Kim (1 shared paper)Paul R. Gavine (1 shared paper)Hyoung‐Pyo Kim (1 shared paper)Shethah Morgan (1 shared paper)Chris Womack (1 shared paper)
- Journals
- Annals of Oncology (45 papers)Cancer Research (23 papers)ESMO Open (10 papers)British Journal of Cancer (4 papers)Oncogene (1 paper)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
S-A. Im
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Oncology 799
- Cancer Research 242
- Pulmonary and Respiratory Medicine 454
- Gastroenterology 51
- Genetics 86
Countries citing papers authored by S-A. Im
This map shows the geographic impact of S-A. Im'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 S-A. Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S-A. Im more than expected).
Fields of papers citing papers by S-A. Im
This network shows the impact of papers produced by S-A. Im. 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 S-A. Im. The network helps show where S-A. Im may publish in the future.
Co-authors
The 25 scholars most cited alongside S-A. Im, 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 | 2014 | 148 | |
| 2 | 2014 | 112 | |
| 3 | 2013 | 98 | |
| 4 | 2016 | 77 | |
| 5 | 2021 | 73 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 40 | |
| 8 | 2021 | 37 | |
| 9 | 2001 | 35 | |
| 10 | 2014 | 32 | |
| 11 | 2023 | 30 | |
| 12 | 2023 | 28 | |
| 13 | 2016 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2023 | 20 | |
| 16 | 2008 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 17 | |
| 19 | 2024 | 16 | |
| 20 | 2019 | 16 |
About S-A. Im
S-A. Im is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (50 papers), Cancer Treatment and Pharmacology (39 papers), HER2/EGFR in Cancer Research (37 papers), Breast Cancer Treatment Studies (18 papers), Cancer Immunotherapy and Biomarkers (13 papers), PARP inhibition in cancer therapy (10 papers), BRCA gene mutations in cancer (5 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Oncology (799 citations), Cancer Research (242 citations), Pulmonary and Respiratory Medicine (454 citations), Gastroenterology (51 citations) and Genetics (86 citations). S-A. Im has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Y-J. Bang, S-B. Kim, Tae‐Yop Kim, Won Ho Kim, Paul R. Gavine, Hyoung‐Pyo Kim, Shethah Morgan, Chris Womack, Heike I. Grabsch and Daehee Hwang. Their work appears in journals such as Annals of Oncology, Cancer Research, ESMO Open, British Journal of Cancer and Oncogene.
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.