SaeHeum Song
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Oncology
- Cancer Research
- Internal Medicine top 5%
- Co-authors
- M. Guillaume WientjesJessie L.‐S. AuYuebo GanYilong ZhangFan YangShashank RohatagiDaniel E. SalazarRobert P. Giugliano
- Topics
- Cancer, Hypoxia, and Metabolism (7 papers)Fibroblast Growth Factor Research (5 papers)Cancer-related Molecular Pathways (5 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
SaeHeum Song
17 papers receiving 488 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 214
- Cardiology and Cardiovascular Medicine 133
- Oncology 132
- Cancer Research 84
- Internal Medicine 65
Countries citing papers authored by SaeHeum Song
This map shows the geographic impact of SaeHeum Song'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 SaeHeum Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SaeHeum Song more than expected).
Fields of papers citing papers by SaeHeum Song
This network shows the impact of papers produced by SaeHeum Song. 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 SaeHeum Song. The network helps show where SaeHeum Song may publish in the future.
Co-authorship network of co-authors of SaeHeum Song
This figure shows the co-authorship network connecting the top 25 collaborators of SaeHeum Song. A scholar is included among the top collaborators of SaeHeum Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with SaeHeum Song. SaeHeum Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 22 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 107 | |
| 9 | 1 | |
| 10 | bFGF as a therapeutic target for chemosensitization in colorectal cancer. | 1 |
| 11 | 22 | |
| 12 | Low-dose suramin enhances antitumor activity of mitomycin C in bladder tumors | 3 |
| 13 | 28 | |
| 14 | Phase I study of low-dose suramin as a chemosensitizer in patients with advanced non-small cell lung cancer. | 32 |
| 15 | 50 | |
| 16 | 164 | |
| 17 | Development of $K-BEtest^{\circledR}$, a Computer Program for the Analysis of Bioequivalence | 2 |
| 18 | 2 |
About SaeHeum Song
SaeHeum Song is a scholar working on Cancer Research, Transplantation and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 501 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Fibroblast Growth Factor Research (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Internal Medicine (65 citations), Cardiology and Cardiovascular Medicine (133 citations) and Cancer Research (84 citations). SaeHeum Song has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include M. Guillaume Wientjes, Jessie L.‐S. Au, Yuebo Gan, Yilong Zhang, Fan Yang, Shashank Rohatagi, Daniel E. Salazar, Robert P. Giugliano, Minggao Shi and Danny Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.