Kyota Ashikawa

2.2k total citations
23 papers, 1.0k citations indexed

About

Kyota Ashikawa is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Kyota Ashikawa has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Kyota Ashikawa's work include Genetic Associations and Epidemiology (7 papers), Cancer-related molecular mechanisms research (4 papers) and Reproductive tract infections research (3 papers). Kyota Ashikawa is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Cancer-related molecular mechanisms research (4 papers) and Reproductive tract infections research (3 papers). Kyota Ashikawa collaborates with scholars based in Japan, Italy and United States. Kyota Ashikawa's co-authors include Michiaki Kubo, Atsushi Takahashi, Naoyuki Kamatani, Koichi Matsuda, Yukihide Momozawa, Naoya Hosono, Tatsuhiko Tsunoda, Yataro Daigo, Takashi Morizono and Hidewaki Nakagawa and has published in prestigious journals such as Nature Genetics, Gastroenterology and PLoS ONE.

In The Last Decade

Kyota Ashikawa

23 papers receiving 1.0k citations

Peers

Kyota Ashikawa
Xianbo Zuo China
Pierina Richiusa Italy
Paola Pérez United States
Hendrik Bergert Germany
Véronique Arocas France
Yee Ling Wu United States
Olivier Brégerie France
Christopher J. Lessard United States
Vivienne McConnell United Kingdom
Chie Kobayashi Japan
Xianbo Zuo China
Kyota Ashikawa
Citations per year, relative to Kyota Ashikawa Kyota Ashikawa (= 1×) peers Xianbo Zuo

Countries citing papers authored by Kyota Ashikawa

Since Specialization
Citations

This map shows the geographic impact of Kyota Ashikawa'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 Kyota Ashikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyota Ashikawa more than expected).

Fields of papers citing papers by Kyota Ashikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyota Ashikawa. 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 Kyota Ashikawa. The network helps show where Kyota Ashikawa may publish in the future.

Co-authorship network of co-authors of Kyota Ashikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kyota Ashikawa. A scholar is included among the top collaborators of Kyota Ashikawa 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 Kyota Ashikawa. Kyota Ashikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hattori, Hiromitsu, Noriyuki Okuyama, Kyota Ashikawa, et al.. (2024). The utility of human two plus one small pronucleated zygotes (2.1PN) based on clinical outcomes and the focused ploidy analysis. Journal of Assisted Reproduction and Genetics. 41(6). 1589–1596. 1 indexed citations
2.
Arai, Wataru, Miho Shimada, Kyota Ashikawa, et al.. (2023). Vaginal Microbiota and Pregnancy Outcomes of Patients with Conization Histories. Journal of Women s Health. 32(3). 375–384. 3 indexed citations
3.
Mekaru, Keiko, Wataru Arai, Kyota Ashikawa, et al.. (2022). Microbiome analysis in women with endometriosis: Does a microbiome exist in peritoneal fluid and ovarian cystic fluid?. Reproductive Medicine and Biology. 21(1). e12441–e12441. 18 indexed citations
4.
Mekaru, Keiko, Wataru Arai, Kyota Ashikawa, et al.. (2022). Endometrial and vaginal microbiomes influence assisted reproductive technology outcomes. JBRA. 27(2). 267–281. 9 indexed citations
5.
6.
Urban, Lara, et al.. (2021). 16S rRNA long-read nanopore sequencing is feasible and reliable for endometrial microbiome analysis. Reproductive BioMedicine Online. 42(6). 1097–1107. 22 indexed citations
7.
Shigemizu, Daichi, Yukihide Momozawa, Takashi Morizono, et al.. (2015). Performance comparison of four commercial human whole-exome capture platforms. Scientific Reports. 5(1). 12742–12742. 55 indexed citations
8.
Okada, Yukinori, Yukihide Momozawa, Kyota Ashikawa, et al.. (2015). Construction of a population-specific HLA imputation reference panel and its application to Graves' disease risk in Japanese. Nature Genetics. 47(7). 798–802. 83 indexed citations
9.
Shimizu, Shino, Yukihide Momozawa, Atsushi Takahashi, et al.. (2015). A Genome-wide Association Study of Periodontitis in a Japanese Population. Journal of Dental Research. 94(4). 555–561. 56 indexed citations
10.
Hirokawa, Megumi, Hiroyuki Morita, Tomoyuki Tajima, et al.. (2014). A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese. European Journal of Human Genetics. 23(3). 374–380. 37 indexed citations
11.
Hirano, Atsushi, Keiko Yamazaki, Junji Umeno, et al.. (2013). Association Study of 71 European Crohnʼs Disease Susceptibility Loci in a Japanese Population. Inflammatory Bowel Diseases. 19(3). 526–533. 49 indexed citations
12.
Low, Siew‐Kee, Atsushi Takahashi, Kyota Ashikawa, et al.. (2013). Genome-Wide Association Study of Breast Cancer in the Japanese Population. PLoS ONE. 8(10). e76463–e76463. 28 indexed citations
13.
Shiraishi, Kouya, Hideo Kunitoh, Yataro Daigo, et al.. (2012). A genome-wide association study identifies two new susceptibility loci for lung adenocarcinoma in the Japanese population. Nature Genetics. 44(8). 900–903. 113 indexed citations
14.
Ohara, Tomoyuki, Toshiharu Ninomiya, Yoichiro Hirakawa, et al.. (2012). Association study of susceptibility genes for late-onset Alzheimer’s disease in the Japanese population. Psychiatric Genetics. 22(6). 290–293. 29 indexed citations
15.
Okada, Yukinori, Keiko Yamazaki, Junji Umeno, et al.. (2011). HLA-Cw*1202-B*5201-DRB1*1502 Haplotype Increases Risk for Ulcerative Colitis but Reduces Risk for Crohn's Disease. Gastroenterology. 141(3). 864–871.e5. 58 indexed citations
16.
Arakawa, Satoshi, Atsushi Takahashi, Kyota Ashikawa, et al.. (2011). Genome-wide association study identifies two susceptibility loci for exudative age-related macular degeneration in the Japanese population. Nature Genetics. 43(10). 1001–1004. 101 indexed citations
17.
Chung, Suyoun, Hidewaki Nakagawa, Motohide Uemura, et al.. (2010). Association of a novel long non‐coding RNA in 8q24 with prostate cancer susceptibility. Cancer Science. 102(1). 245–252. 229 indexed citations
18.
Matsushita, Tomonaga, Junji Umeno, Yoichiro Hirakawa, et al.. (2010). Association study of the polymorphisms on chromosome 12p13 with atherothrombotic stroke in the Japanese population. Journal of Human Genetics. 55(7). 473–476. 25 indexed citations
19.
Akamatsu, Shusuke, Ryo Takata, Kyota Ashikawa, et al.. (2010). A functional variant in NKX3.1 associated with prostate cancer susceptibility down-regulates NKX3.1 expression. Human Molecular Genetics. 19(21). 4265–4272. 29 indexed citations
20.
Matsushita, Tomonaga, Kyota Ashikawa, Koji Yonemoto, et al.. (2009). Functional SNP of ARHGEF10 confers risk of atherothrombotic stroke. Human Molecular Genetics. 19(6). 1137–1146. 39 indexed citations

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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