Untae Kim
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Oncology 15
- Cancer Cells and Metastasis 6
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- Cancer, Hypoxia, and Metabolism 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- Sunil K. Chatterjee (4 shared papers)Ralph J. Bernacki (1 shared paper)Donald J. Higby (1 shared paper)Vladimir von Fliedner (1 shared paper)Jacob Fürth (2 shared papers)Leon Stutzman (3 shared papers)Tin Han (3 shared papers)William Regelson (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (6 papers)Journal of Surgical Oncology (4 papers)Cancer (4 papers)Science (3 papers)The American Journal of Medicine (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Untae Kim
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Hematology 200
- Cancer Research 212
- Oncology 368
- Biotechnology 115
- Biochemistry 76
Countries citing papers authored by Untae Kim
This map shows the geographic impact of Untae Kim'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 Untae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Untae Kim more than expected).
Fields of papers citing papers by Untae Kim
This network shows the impact of papers produced by Untae Kim. 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 Untae Kim. The network helps show where Untae Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Untae Kim, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 136 | |
| 2 | 1977 | 135 | |
| 3 | 1968 | 123 | |
| 4 | 1966 | 107 | |
| 5 | 1970 | 84 | |
| 6 | 1960 | 75 | |
| 7 | Progression from hormone dependence to autonomy in mammary tumors as an in vivo manifestation of sequential clonal selection. | 1975 | 65 |
| 8 | 1978 | 62 | |
| 9 | 1977 | 53 | |
| 10 | 1970 | 44 | |
| 11 | 1981 | 41 | |
| 12 | 1981 | 37 | |
| 13 | 1976 | 35 | |
| 14 | 1963 | 30 | |
| 15 | 1979 | 29 | |
| 16 | Lack of production of myoepithelial variants by cloned epithelial cell lines derived from the TMT-081 metastasizing rat mammary tumor. | 1984 | 28 |
| 17 | 1979 | 27 | |
| 18 | Pituitary function and hormonal therapy of experimental breast cancer. | 1965 | 26 |
| 19 | 1971 | 22 | |
| 20 | 1975 | 21 |
About Untae Kim
Untae Kim is a scholar working on Oncology, Cancer Research, Genetics, Biotechnology and Molecular Biology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Cancer Cells and Metastasis (6 papers), Cancer Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Glycosylation and Glycoproteins Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hematology (200 citations), Cancer Research (212 citations), Oncology (368 citations), Biotechnology (115 citations) and Biochemistry (76 citations). Untae Kim has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Sunil K. Chatterjee, Ralph J. Bernacki, Donald J. Higby, Vladimir von Fliedner, Jacob Fürth, Leon Stutzman, Tin Han, William Regelson, James F. Holland and Margot M. Ip. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Journal of Surgical Oncology, Cancer, Science and The American Journal of Medicine.
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.