Yuka Nakamura
- Hematology top 1%
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 8
- Cell Biology top 2%
- Plant Pathogens and Fungal Diseases 29
- Genetics top 2%
- Dermatology top 2%
- Dermatology and Skin Diseases 8
- Epidemiology top 5%
- Nail Diseases and Treatments 34
- Fungal Infections and Studies 16
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- Fungal Biology and Applications 6
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- Peptidase Inhibition and Analysis 6
- Co-authors
- Rui KanoAtsuhiko HasegawaShinichi WatanabeFumio AraiKentaro HosokawaToshio SudaHiroki YoshiharaYumiko Gomei
- Cited by
- HematologyCell BiologyGenetics
- Journals
- Circulation (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yuka Nakamura
162 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Hematology 800
- Cell Biology 684
- Genetics 429
- Dermatology 303
- Epidemiology 959
Countries citing papers authored by Yuka Nakamura
This map shows the geographic impact of Yuka Nakamura'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 Yuka Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Nakamura more than expected).
Fields of papers citing papers by Yuka Nakamura
This network shows the impact of papers produced by Yuka Nakamura. 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 Yuka Nakamura. The network helps show where Yuka Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuka Nakamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 9 | |
| 11 | 2018 | 26 | |
| 12 | Abstract 11211: CTCF and HMGA1 Opposite Directionally Regulate the Gene Expression of microRNAs at Scaffold/ Matrix-attachment Regions in the Arterial Smooth Muscle Cell | 2013 | 1 |
| 13 | 2010 | 77 | |
| 14 | 2009 | 32 | |
| 15 | 2007 | 86 | |
| 16 | The influence of pH on bactericidal effects of strong acidic electrolyzed water | 2002 | 7 |
| 17 | 2002 | 5 | |
| 18 | 2000 | 14 | |
| 19 | 1996 | 2 | |
| 20 | 1994 | 2 |
About Yuka Nakamura
Yuka Nakamura is a scholar working on Cell Biology, Hematology and Dermatology, having authored 175 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nail Diseases and Treatments (34 papers), Plant Pathogens and Fungal Diseases (29 papers), Fungal Infections and Studies (16 papers), Acute Myeloid Leukemia Research (11 papers), Dermatology and Skin Diseases (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Fungal Biology and Applications (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Hematology (800 citations), Cell Biology (684 citations) and Genetics (429 citations). Yuka Nakamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Rui Kano, Atsuhiko Hasegawa, Shinichi Watanabe, Fumio Arai, Kentaro Hosokawa, Toshio Suda, Hiroki Yoshihara, Yumiko Gomei, Yasuhito Ishigaki and Kana Miyamoto. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.