Chie Fukui
Impact in
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- Frailty in Older Adults
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- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
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- Geriatric Care and Nursing Homes 11
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- Effects and risks of endocrine disrupting chemicals 4
- Co-authors
- Yuji Haishima (8 shared papers)Yusuke Nomura (6 shared papers)Yuki Morishita (4 shared papers)Toshimitsu Matsui (5 shared papers)Charlene H. Chu (2 shared papers)Bei Wu (2 shared papers)Jing Wang (2 shared papers)Patrick Alexander Wachholz (2 shared papers)
- Journals
- Journal of Biomedical Materials Research Part B Applied Biomaterials (4 papers)Geriatrics and gerontology international (4 papers)Blood (3 papers)PLoS ONE (1 paper)Aging Clinical and Experimental Research (1 paper)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Chie Fukui
33 papers receiving 406 citations
Peers
Comparison fields: 5 of 92
- Geriatrics and Gerontology 17
- Hematology 49
- Immunology 53
- General Health Professions 61
- Research and Theory 2
Countries citing papers authored by Chie Fukui
This map shows the geographic impact of Chie Fukui'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 Chie Fukui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chie Fukui more than expected).
Fields of papers citing papers by Chie Fukui
This network shows the impact of papers produced by Chie Fukui. 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 Chie Fukui. The network helps show where Chie Fukui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chie Fukui, 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 | 2021 | 80 | |
| 2 | 2016 | 44 | |
| 3 | 2021 | 44 | |
| 4 | 2014 | 42 | |
| 5 | 2017 | 25 | |
| 6 | 2004 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2005 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2017 | 5 |
About Chie Fukui
Chie Fukui is a scholar working on General Health Professions, Health, Toxicology and Mutagenesis, Geriatrics and Gerontology, Immunology and Cancer Research, having authored 36 papers that have together received 415 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (11 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Frailty in Older Adults (3 papers), Polymer Science and PVC (2 papers), NF-κB Signaling Pathways (2 papers), Dementia and Cognitive Impairment Research (2 papers), Biomedical Ethics and Regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (17 citations), Hematology (49 citations), Immunology (53 citations), General Health Professions (61 citations) and Research and Theory (2 citations). Chie Fukui has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Yuji Haishima, Yusuke Nomura, Yuki Morishita, Toshimitsu Matsui, Charlene H. Chu, Bei Wu, Jing Wang, Patrick Alexander Wachholz, Sandra Staudacher and Noboru Asada. Their work appears in journals such as Journal of Biomedical Materials Research Part B Applied Biomaterials, Geriatrics and gerontology international, Blood, PLoS ONE and Aging Clinical and Experimental 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.