Taesaeng Choi
- Molecular Biology top 10%
- Cell Biology top 2%
- Oncology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Genetics
- Co-authors
- George F. Vande WoudeKenji FukasawaShen RulongRyoko KuriyamaKaoru KohmotoMasakane YamashitaYoshitaka NagahamaMakoto Mori
- Topics
- Reproductive Biology and Fertility (7 papers)Microtubule and mitosis dynamics (6 papers)Epigenetics and DNA Methylation (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Taesaeng Choi
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.0k
- Cell Biology 614
- Oncology 486
- Public Health, Environmental and Occupational Health 422
- Genetics 177
Countries citing papers authored by Taesaeng Choi
This map shows the geographic impact of Taesaeng Choi'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 Taesaeng Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taesaeng Choi more than expected).
Fields of papers citing papers by Taesaeng Choi
This network shows the impact of papers produced by Taesaeng Choi. 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 Taesaeng Choi. The network helps show where Taesaeng Choi may publish in the future.
Co-authorship network of co-authors of Taesaeng Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Taesaeng Choi. A scholar is included among the top collaborators of Taesaeng Choi 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 Taesaeng Choi. Taesaeng Choi 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 | 3 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 40 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | Effects of BMI-1026, A Potent CDK Inhibitor, on Murine Oocyte Maturation and Metaphase II Arrest | 1 |
| 10 | 69 | |
| 11 | 3 | |
| 12 | The study of the spontaneous recovery time in acute hepatitis induced by CCℓ₄ in three mouse strains | 1 |
| 13 | 6 | |
| 14 | 69 | |
| 15 | 75 | |
| 16 | Abnormal Centrosome Amplification in the Absence of p53breakdown → | 689 |
| 17 | 187 | |
| 18 | 57 | |
| 19 | 18 | |
| 20 | 28 |
About Taesaeng Choi
Taesaeng Choi is a scholar working on Endocrine and Autonomic Systems, Cell Biology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Microtubule and mitosis dynamics (6 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cell Biology (614 citations), Aging (42 citations) and Reproductive Medicine (154 citations). Taesaeng Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include George F. Vande Woude, Kenji Fukasawa, Shen Rulong, Ryoko Kuriyama, Kaoru Kohmoto, Masakane Yamashita, Yoshitaka Nagahama, Makoto Mori, Fugaku Aoki and James Resau. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.