Keiko Nakamura
- General Health Professions top 1%
- Molecular Biology top 10%
- Health, Toxicology and Mutagenesis top 1%
- Health top 1%
- Plant Science top 5%
- Co-authors
- Takehito TakanoKaoruko SeinoYoshiharu FukudaMasashi KizukiShinji FushikiKyoko ItohMosiur RahmanTohru Sugimoto
- Topics
- Global Maternal and Child Health (30 papers)Health disparities and outcomes (28 papers)Child Nutrition and Water Access (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Keiko Nakamura
272 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 202
- General Health Professions 985
- Molecular Biology 800
- Health, Toxicology and Mutagenesis 650
- Health 639
- Plant Science 561
Countries citing papers authored by Keiko Nakamura
This map shows the geographic impact of Keiko 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 Keiko Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Nakamura more than expected).
Fields of papers citing papers by Keiko Nakamura
This network shows the impact of papers produced by Keiko 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 Keiko Nakamura. The network helps show where Keiko Nakamura may publish in the future.
Co-authorship network of co-authors of Keiko Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Nakamura. A scholar is included among the top collaborators of Keiko Nakamura 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 Keiko Nakamura. Keiko Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 40 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | Pilot study of using GIS to visualize health status distribution: case study of Songjiang District, Shanghai. | 1 |
| 16 | 2 | |
| 17 | Laboratory Simulation of Space Weathering: Comparison Study of Microstructures of the Laser Irradiated Olivine and Pyroxene | 1 |
| 18 | 1 | |
| 19 | 29 | |
| 20 | 0 |
About Keiko Nakamura
Keiko Nakamura is a scholar working on Health, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 297 papers that have together received 5.0k indexed citations. Recurring topics across this work include Global Maternal and Child Health (30 papers), Health disparities and outcomes (28 papers) and Child Nutrition and Water Access (18 papers). The work is most often cited by research in Health (639 citations), Health, Toxicology and Mutagenesis (650 citations) and General Health Professions (985 citations). Keiko Nakamura has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Takehito Takano, Kaoruko Seino, Yoshiharu Fukuda, Masashi Kizuki, Shinji Fushiki, Kyoko Itoh, Mosiur Rahman, Tohru Sugimoto, Takeshi Yaoi and Yasuhiro Fujiwara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.