Akiko Nishimura
- Molecular Biology
- Genetics top 5%
- Ecology top 10%
- Endocrinology top 5%
- Molecular Medicine top 10%
- Co-authors
- Yukinori HirotaYukinobu NishimuraHideho SuzukiHideki MakinoshimaAkira IshihamaSeiichi YasudaMasao YamadaLucien Caro
- Topics
- Bacterial Genetics and Biotechnology (18 papers)DNA Repair Mechanisms (7 papers)RNA and protein synthesis mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesMolecular and Cellular BiologyTrends in Biochemical Sciences
- Partner nations
- JapanSwitzerlandSweden
In The Last Decade
Akiko Nishimura
27 papers receiving 675 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 521
- Genetics 378
- Ecology 148
- Endocrinology 92
- Molecular Medicine 69
Countries citing papers authored by Akiko Nishimura
This map shows the geographic impact of Akiko Nishimura'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 Akiko Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Nishimura more than expected).
Fields of papers citing papers by Akiko Nishimura
This network shows the impact of papers produced by Akiko Nishimura. 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 Akiko Nishimura. The network helps show where Akiko Nishimura may publish in the future.
Co-authorship network of co-authors of Akiko Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Nishimura. A scholar is included among the top collaborators of Akiko Nishimura 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 Akiko Nishimura. Akiko Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 66 | |
| 5 | 12 | |
| 6 | Nurses Support Contributes to Patients Resilience | 1 |
| 7 | Development of the Nursing Career Assessment Scale and to Evaluate its Reliability and Validity | 1 |
| 8 | 62 | |
| 9 | 69 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 34 | |
| 13 | 18 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | 10 | |
| 17 | 32 | |
| 18 | 31 | |
| 19 | 22 | |
| 20 | 141 |
About Akiko Nishimura
Akiko Nishimura is a scholar working on Leadership and Management, Endocrinology and Genetics, having authored 28 papers that have together received 749 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), DNA Repair Mechanisms (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Endocrinology (92 citations), Molecular Medicine (69 citations) and Genetics (378 citations). Akiko Nishimura has collaborated with scholars based in Japan, Switzerland and Sweden. Frequent co-authors include Yukinori Hirota, Yukinobu Nishimura, Hideho Suzuki, Hideki Makinoshima, Akira Ishihama, Seiichi Yasuda, Masao Yamada, Lucien Caro, Katsuyoshi Yamamoto and Kazuo Tatebayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Trends in Biochemical Sciences.
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.