Masayuki Sekine

2.8k citations
98 papers · 1.5k indexed · h-index 23

Masayuki Sekine

90 papers receiving 1.5k citations

Peers

Masayuki Sekine
Comparison fields: 5 of 126
  • Reproductive Medicine 236
  • Obstetrics and Gynecology 211
  • Epidemiology 579
  • Microbiology 90
  • Cancer Research 214
Replace Marek Spaczyński with:
Marek Spaczyński Poland
Sosuke Adachi Japan
Britt Erickson United States
Freija Verdoodt Belgium
Miriam Mints Sweden
David R. Genest United States
Amin Makar Belgium
Michael Conner United States
Jacqueline Jones United States
Toru Hachisuga Japan
Masayuki Sekine relative to Marek Spaczyński Poland Marek Spaczyński's profile →
Citations per field
00.5×2.7×
Marek Spaczyński · 1×
Citations per year

Countries citing papers authored by Masayuki Sekine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Masayuki Sekine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masayuki Sekine Line = papers co-authored together Masayuki Sekine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20230
5 20229
6 202215
7 20223
8 20226
9 20205
10 201910
11 201911
12 201419
13 201339
14 201227
15 201110
16 201014
17 200722
18
Association between single nucleotide polymorphisms of drug resistance-associated genes and response to chemotherapy in advanced ovarian cancer.
200633
19
Haplotypes of BRCA1 Mutation Alleles in Japanese Ovarian and Breast-Ovarian Cancer Families: A Novel Method for Detecting BRCA1 Associated Ovarian Cancer
20021
20 198517

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), BRCA gene mutations in cancer (18 papers), Hepatitis B Virus Studies (15 papers), Endometrial and Cervical Cancer Treatments (14 papers), Genital Health and Disease (11 papers), Genetic factors in colorectal cancer (10 papers) and Reproductive tract infections research (8 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.

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