S Yasumoto
- Epidemiology top 5%
- Molecular Biology
- Genetics top 10%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- Jay DonigerJoseph A. DiPaoloLucia PirisiAnne L. BurkhardtKeiji KikuchiHiroshi YamamotoTadashi UtakojiHidetoshi Tahara
- Topics
- Cervical Cancer and HPV Research (6 papers)Virus-based gene therapy research (4 papers)Telomeres, Telomerase, and Senescence (4 papers)
- Cited by
- EpidemiologyAgingGenetics
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
S Yasumoto
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Epidemiology 605
- Molecular Biology 478
- Genetics 326
- Oncology 278
- Physiology 235
Countries citing papers authored by S Yasumoto
This map shows the geographic impact of S Yasumoto'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 S Yasumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Yasumoto more than expected).
Fields of papers citing papers by S Yasumoto
This network shows the impact of papers produced by S Yasumoto. 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 S Yasumoto. The network helps show where S Yasumoto may publish in the future.
Co-authorship network of co-authors of S Yasumoto
This figure shows the co-authorship network connecting the top 25 collaborators of S Yasumoto. A scholar is included among the top collaborators of S Yasumoto 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 S Yasumoto. S Yasumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 104 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | [Telomerase activity in the uterine cervix and the uterine body]. | 3 |
| 10 | Time correlation of commitment to calcium-induced apoptosis and terminal differentiation in human ectocervical keratinocytes in suspension cultures. | 12 |
| 11 | Telomerase activity in normal human epithelial cells. | 212 |
| 12 | Spontaneous mutation of p53 gene in human papillomavirus type 16 E7-immortalized human laryngeal epithelial cells. | 9 |
| 13 | In vitro and in vivo analysis of cellular origin of cervical squamous metaplasia. | 23 |
| 14 | 84 | |
| 15 | 33 | |
| 16 | [HPV16 participates in progressive transformation of normal epidermal cells]. | 1 |
| 17 | 28 | |
| 18 | 456 | |
| 19 | 197 | |
| 20 | Specificity in the interaction of 4',6-diamidino-2-phenylindole with polynucleotides. | 3 |
About S Yasumoto
S Yasumoto is a scholar working on Periodontics, Virology and Epidemiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Virus-based gene therapy research (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Epidemiology (605 citations), Aging (22 citations) and Genetics (326 citations). S Yasumoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jay Doniger, Joseph A. DiPaolo, Lucia Pirisi, Anne L. Burkhardt, Keiji Kikuchi, Hiroshi Yamamoto, Tadashi Utakoji, Hidetoshi Tahara, H. Ohji and Ide T. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology and Journal of General Virology.
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.