I Bae
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
- Oncology 4
- Cancer-related Molecular Pathways 4
-
- Cancer Research and Treatments 2
- Co-authors
- Albert J. Fornace (3 shared papers)Kurt W. Kohn (2 shared papers)Patrick M. O'Connor (2 shared papers)Saijun Fan (2 shared papers)Stephen Henry Friend (2 shared papers)John N. Weinstein (1 shared paper)A Monks (1 shared paper)Joany Jackman (1 shared paper)
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Microbiology (1 paper)Cell Death and Disease (1 paper)Bulletin of the Korean Chemical Society (1 paper)PubMed (4 papers)
- Partner nations
- United StatesSouth Korea
In The Last Decade
I Bae
7 papers receiving 1.6k citations
I Bae's Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 955
- Biotechnology 191
- Cancer Research 276
- Toxicology 55
- Molecular Biology 1.1k
Countries citing papers authored by I Bae
This map shows the geographic impact of I Bae'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 I Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Bae more than expected).
Fields of papers citing papers by I Bae
This network shows the impact of papers produced by I Bae. 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 I Bae. The network helps show where I Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside I Bae, 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 | Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents. Hit paper breakdown → | 1997 | 773 |
| 2 | p53 gene mutations are associated with decreased sensitivity of human lymphoma cells to DNA damaging agents. | 1994 | 371 |
| 3 | The p53-dependent gamma-ray response of GADD45. | 1994 | 200 |
| 4 | Topoisomerase I-related parameters and camptothecin activity in the colon carcinoma cell lines from the National Cancer Institute anticancer screen. | 1995 | 150 |
| 5 | 1994 | 116 | |
| 6 | 2012 | 47 | |
| 7 | 1991 | 12 | |
| 8 | 2006 | 0 |
About I Bae
I Bae is a scholar working on Oncology, Biotechnology, Toxicology, Molecular Biology and Genetics, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper), DNA Repair Mechanisms (1 paper), Virus-based gene therapy research (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Oncology (955 citations), Biotechnology (191 citations), Cancer Research (276 citations), Toxicology (55 citations) and Molecular Biology (1.1k citations). I Bae has collaborated with scholars based in United States and South Korea. Frequent co-authors include Albert J. Fornace, Kurt W. Kohn, Patrick M. O'Connor, Saijun Fan, Stephen Henry Friend, John N. Weinstein, A Monks, Joany Jackman, Timothy G. Myers and Michihiro Mutoh. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Microbiology, Cell Death and Disease, Bulletin of the Korean Chemical Society and PubMed.
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.