Aya Iwata
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 12
- Cervical Cancer and HPV Research 6
- Pneumonia and Respiratory Infections 4
- Surgery 6
- Co-authors
- Kousaku Matsubara (19 shared papers)Hiroyuki Nigami (13 shared papers)Eiji Nishio (9 shared papers)Takuma Fujii (9 shared papers)Takashi Fukaya (8 shared papers)Ryoko Ichikawa (6 shared papers)Iwao Kukimoto (8 shared papers)Naoki Yamamoto (2 shared papers)
In The Last Decade
Aya Iwata
34 papers receiving 389 citations
Peers
Comparison fields: 5 of 81
- Microbiology 57
- Cancer Research 65
- Endocrinology 16
- Epidemiology 98
- Complementary and Manual Therapy 6
Countries citing papers authored by Aya Iwata
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
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-authors
The 25 scholars most cited alongside Aya Iwata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 46 | |
| 2 | 2018 | 39 | |
| 3 | 2017 | 29 | |
| 4 | 2010 | 28 | |
| 5 | 2019 | 24 | |
| 6 | 2010 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2011 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2014 | 16 | |
| 13 | 2013 | 14 | |
| 14 | 2011 | 12 | |
| 15 | Successful treatment with allogenic hematopoietic stem cell transplantation of a severe congenital neutropenia patient harboring a novel ELANE mutation. | 2014 | 7 |
| 16 | 2014 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 5 |
About Aya Iwata
Aya Iwata is a scholar working on Epidemiology, Surgery, Molecular Biology, Immunology and Cancer Research, having authored 36 papers that have together received 401 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Pneumonia and Respiratory Infections (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Endometrial and Cervical Cancer Treatments (2 papers), Viral Infections and Immunology Research (2 papers), Ovarian function and disorders (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Microbiology (57 citations), Cancer Research (65 citations), Endocrinology (16 citations), Epidemiology (98 citations) and Complementary and Manual Therapy (6 citations). Aya Iwata has collaborated with scholars based in Japan and Singapore. Frequent co-authors include Kousaku Matsubara, Hiroyuki Nigami, Eiji Nishio, Takuma Fujii, Takashi Fukaya, Ryoko Ichikawa, Iwao Kukimoto, Naoki Yamamoto, Tetsuya Tsukamoto and Masayoshi Nakasako. Their work appears in journals such as Scientific Reports, Journal of Pediatric Hematology/Oncology, Cancer Science, Biochemistry and Oncology Reports.
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.