Aya Iwata

608 total citations
36 papers, 401 citations indexed

About

Aya Iwata is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Aya Iwata has authored 36 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Aya Iwata's work include Cervical Cancer and HPV Research (6 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). Aya Iwata is often cited by papers focused on Cervical Cancer and HPV Research (6 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). Aya Iwata collaborates with scholars based in Japan and Singapore. Aya Iwata's co-authors include Kousaku Matsubara, Hiroyuki Nigami, Takuma Fujii, Eiji Nishio, Ryoko Ichikawa, Takashi Fukaya, Iwao Kukimoto, Tetsuya Tsukamoto, Naoki Yamamoto and Hiroyuki Nomura and has published in prestigious journals such as Biochemistry, Scientific Reports and Bioconjugate Chemistry.

In The Last Decade

Aya Iwata

34 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aya Iwata Japan 13 131 98 65 57 51 36 401
Patrícia Marques Portugal 12 203 1.5× 67 0.7× 76 1.2× 32 0.6× 29 0.6× 22 458
L. Neff Switzerland 9 128 1.0× 55 0.6× 41 0.6× 76 1.3× 103 2.0× 14 338
Danièle Mathieu France 14 418 3.2× 70 0.7× 51 0.8× 53 0.9× 96 1.9× 17 673
Elizabeth J. Coleman United States 7 180 1.4× 83 0.8× 57 0.9× 20 0.4× 167 3.3× 7 512
Akiko Eto Japan 11 197 1.5× 81 0.8× 75 1.2× 69 1.2× 167 3.3× 16 469
Shruti Menon Australia 16 561 4.3× 97 1.0× 43 0.7× 119 2.1× 54 1.1× 30 878
Marta Wegorzewska United States 9 275 2.1× 49 0.5× 13 0.2× 59 1.0× 124 2.4× 10 509
Hasna Baidouri United States 13 149 1.1× 29 0.3× 31 0.5× 99 1.7× 134 2.6× 21 556
Christine Youn United States 12 146 1.1× 35 0.4× 40 0.6× 30 0.5× 146 2.9× 17 460
Junko Nishitani United States 10 288 2.2× 130 1.3× 87 1.3× 15 0.3× 73 1.4× 18 620

Countries citing papers authored by Aya Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Aya Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Iwata. A scholar is included among the top collaborators of Aya Iwata 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 Aya Iwata. Aya Iwata 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.
Kukimoto, Iwao, et al.. (2025). Distinct cervical microbiome and metabolite profiles before and after menopause: implications for cervical cancer progression. Frontiers in Cellular and Infection Microbiology. 15. 1589277–1589277. 1 indexed citations
2.
Fujii, Takuma, Eiji Nishio, Tetsuya Tsukamoto, Iwao Kukimoto, & Aya Iwata. (2024). Performance of an ancillary test for cervical cancer that measures miRNAs and cytokines in serum and cervical mucus. Cancer Science. 115(8). 2795–2807. 3 indexed citations
3.
Nishio, Eiji, et al.. (2024). Metabolomic and microbiome analysis of cervicovaginal mucus in in vitro fertilization–embryo transfer: Toward predicting pregnancy success. Reproductive Medicine and Biology. 23(1). e12568–e12568. 5 indexed citations
4.
Kukimoto, Iwao, et al.. (2024). Cervical mucus can be used for metabolite screening in cervical cancer. Cancer Science. 115(11). 3672–3681. 2 indexed citations
5.
Iwata, Aya, Iwao Kukimoto, Eiji Nishio, et al.. (2022). Nomogram for predicted probability of cervical cancer and its precursor lesions using miRNA in cervical mucus, HPV genotype and age. Scientific Reports. 12(1). 16231–16231. 4 indexed citations
6.
Takahashi, Hiroshi, Aya Iwata, Tetsuya Tsukamoto, et al.. (2021). Lower accuracy of cytological screening for high-grade squamous intraepithelial neoplasia in women over 50 years of age in Japan. International Journal of Clinical Oncology. 27(2). 427–433. 3 indexed citations
7.
Fujii, Takuma, Iwao Kukimoto, Hiroyuki Nomura, et al.. (2021). Changes to the cervicovaginal microbiota and cervical cytokine profile following surgery for cervical intraepithelial neoplasia. Scientific Reports. 11(1). 2156–2156. 18 indexed citations
8.
Matsubara, Kousaku, et al.. (2020). Late onset group B streptococcus disease manifesting as acute suppurative parotitis. IDCases. 21. e00799–e00799. 5 indexed citations
9.
Fujii, Takuma, Iwao Kukimoto, Naoki Yamamoto, et al.. (2019). Cytokine expression profiles in cervical mucus from patients with cervical cancer and its precursor lesions. Cytokine. 120. 210–219. 24 indexed citations
10.
Kawai, Satoshi, Takuma Fujii, Iwao Kukimoto, et al.. (2018). Identification of miRNAs in cervical mucus as a novel diagnostic marker for cervical neoplasia. Scientific Reports. 8(1). 7070–7070. 39 indexed citations
11.
Matsubara, Kousaku, Hideyuki Takahashi, Masatomo Morita, et al.. (2017). Invasive meningococcal disease due to ciprofloxacin-resistant Neisseria meningitidis sequence type 4821: The first case in Japan. Journal of Infection and Chemotherapy. 24(4). 305–308. 20 indexed citations
12.
Tasaka, Keiji, Kousaku Matsubara, Masayuki Hori, et al.. (2016). Neurogenic pulmonary edema combined with febrile seizures in early childhood—A report of two cases. IDCases. 6. 90–93. 5 indexed citations
13.
Kawasaki, Yu, Kousaku Matsubara, Hiroyuki Nigami, et al.. (2013). Corynebacterium propinquum as the first cause of infective endocarditis in childhood. Journal of Infection and Chemotherapy. 20(5). 317–319. 14 indexed citations
14.
Uchida, Yoshiko, Kousaku Matsubara, Tamaki Wada, et al.. (2011). Recurrent bacterial meningitis by three different pathogens in an isolated asplenic child. Journal of Infection and Chemotherapy. 18(4). 576–580. 6 indexed citations
15.
Matsubara, Kousaku, Tomohiko Taki, Hiroyuki Nigami, et al.. (2010). Spinal Cord Compression by Epidural Involvement Over 21 Vertebral Levels in Acute Lymphoblastic Leukemia. Journal of Pediatric Hematology/Oncology. 33(2). 153–157. 3 indexed citations
16.
Iwata, Aya, et al.. (2010). Reversible Splenial Lesion Associated With Novel Influenza A (H1N1) Viral Infection. Pediatric Neurology. 42(6). 447–450. 24 indexed citations
17.
Iwata, Aya, et al.. (2009). Spontaneous Rupture of Benign Ovarian Cystic Teratoma in a Premenarcheal Girl. Journal of Pediatric and Adolescent Gynecology. 22(5). e121–e123. 4 indexed citations
18.
Matsubara, Kousaku, et al.. (2005). Low incidence of febrile convulsion during the acute phase of Kawasaki disease in Japan. European Journal of Pediatrics. 164(10). 650–650. 2 indexed citations
19.
Kimura, Minoru, Takehiko Takahashi, Aya Iwata, et al.. (2001). Ontogeny of the Murine Ig Joining Chain Gene and Protein. Scandinavian Journal of Immunology. 54(6). 613–618. 2 indexed citations
20.
Ijiri, Yoshio, et al.. (1990). The Pharmacokinetics of Pranoprofen in Humans. YAKUGAKU ZASSHI. 110(7). 509–515. 5 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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