Jaeyeon Kim
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Oncology top 10%
- Cancer Research top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Martin M. MatzukDonna CoffeyIndrani C. BagchiMilan K. BagchiChad J. CreightonShannon M. HawkinsZhifeng YuGerald M. Saidel
- Topics
- Metabolomics and Mass Spectrometry Studies (8 papers)Ovarian cancer diagnosis and treatment (8 papers)Cancer therapeutics and mechanisms (7 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Jaeyeon Kim
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 811
- Reproductive Medicine 555
- Oncology 326
- Cancer Research 323
- Public Health, Environmental and Occupational Health 322
Countries citing papers authored by Jaeyeon Kim
This map shows the geographic impact of Jaeyeon 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 Jaeyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeyeon Kim more than expected).
Fields of papers citing papers by Jaeyeon Kim
This network shows the impact of papers produced by Jaeyeon 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 Jaeyeon Kim. The network helps show where Jaeyeon Kim may publish in the future.
Co-authorship network of co-authors of Jaeyeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jaeyeon Kim. A scholar is included among the top collaborators of Jaeyeon Kim 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 Jaeyeon Kim. Jaeyeon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 24 | |
| 3 | 3 | |
| 4 | 28 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 134 | |
| 11 | CRISPR/Cas9-derived models of ovarian high grade serous carcinoma targeting Brca1, Pten and Nf1, and correlation with platinum sensitivity | 2 |
| 12 | 23 | |
| 13 | 151 | |
| 14 | 33 | |
| 15 | 95 | |
| 16 | 25 | |
| 17 | 29 | |
| 18 | 20 | |
| 19 | 56 | |
| 20 | 2 |
About Jaeyeon Kim
Jaeyeon Kim is a scholar working on Reproductive Medicine, Cancer Research and Biochemistry, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Ovarian cancer diagnosis and treatment (8 papers) and Cancer therapeutics and mechanisms (7 papers). The work is most often cited by research in Reproductive Medicine (555 citations), Cancer Research (323 citations) and Obstetrics and Gynecology (141 citations). Jaeyeon Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Martin M. Matzuk, Donna Coffey, Indrani C. Bagchi, Milan K. Bagchi, Chad J. Creighton, Shannon M. Hawkins, Zhifeng Yu, Gerald M. Saidel, Marco E. Cabrera and Satish C. Kalhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.
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.