Masayuki Sekine
- Epidemiology top 5%
- Molecular Biology
- Oncology top 10%
- Reproductive Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Takayuki EnomotoYutaka UedaEtsuko MiyagiHava AvrahamShalom AvrahamSeyha SengYigong FuAsami Yagi
- Topics
- Cervical Cancer and HPV Research (42 papers)Ovarian cancer diagnosis and treatment (22 papers)BRCA gene mutations in cancer (18 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Masayuki Sekine
90 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Epidemiology 579
- Molecular Biology 450
- Oncology 364
- Reproductive Medicine 236
- Cancer Research 214
Countries citing papers authored by Masayuki Sekine
This map shows the geographic impact of Masayuki Sekine'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 Masayuki Sekine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Sekine more than expected).
Fields of papers citing papers by Masayuki Sekine
This network shows the impact of papers produced by Masayuki Sekine. 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 Masayuki Sekine. The network helps show where Masayuki Sekine may publish in the future.
Co-authorship network of co-authors of Masayuki Sekine
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Sekine. A scholar is included among the top collaborators of Masayuki Sekine 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 Masayuki Sekine. Masayuki Sekine 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 39 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 22 | |
| 18 | Association between single nucleotide polymorphisms of drug resistance-associated genes and response to chemotherapy in advanced ovarian cancer. | 33 |
| 19 | Haplotypes of BRCA1 Mutation Alleles in Japanese Ovarian and Breast-Ovarian Cancer Families: A Novel Method for Detecting BRCA1 Associated Ovarian Cancer | 1 |
| 20 | 17 |
About Masayuki Sekine
Masayuki Sekine is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Microbiology, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (42 papers), Ovarian cancer diagnosis and treatment (22 papers) and BRCA gene mutations in cancer (18 papers). The work is most often cited by research in Reproductive Medicine (236 citations), Obstetrics and Gynecology (211 citations) and Epidemiology (579 citations). Masayuki Sekine has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Takayuki Enomoto, Yutaka Ueda, Etsuko Miyagi, Hava Avraham, Shalom Avraham, Seyha Seng, Yigong Fu, Asami Yagi, Tae-Hee Lee and Cimona V. Hinton. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
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.