Akie Nakamura
- Genetics top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Surgery
- Co-authors
- Toshihiro TajimaKatsura IshizuMaki FukamiTsutomu OgataMasayo KagamiShuntaro MorikawaKeiko MatsubaraKeisuke Nagasaki
- Topics
- Genetic Syndromes and Imprinting (26 papers)Congenital heart defects research (12 papers)Thyroid Disorders and Treatments (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akie Nakamura
72 papers receiving 939 citations
Peers
Comparison fields: 5 of 59
- Genetics 532
- Molecular Biology 524
- Endocrinology, Diabetes and Metabolism 236
- Pediatrics, Perinatology and Child Health 197
- Surgery 123
Countries citing papers authored by Akie Nakamura
This map shows the geographic impact of Akie 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 Akie Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akie Nakamura more than expected).
Fields of papers citing papers by Akie Nakamura
This network shows the impact of papers produced by Akie 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 Akie Nakamura. The network helps show where Akie Nakamura may publish in the future.
Co-authorship network of co-authors of Akie Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Akie Nakamura. A scholar is included among the top collaborators of Akie 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 Akie Nakamura. Akie 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 33 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 8 | |
| 20 | 14 |
About Akie Nakamura
Akie Nakamura is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 77 papers that have together received 952 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (26 papers), Congenital heart defects research (12 papers) and Thyroid Disorders and Treatments (11 papers). The work is most often cited by research in Genetics (532 citations), Nephrology (109 citations) and Endocrinology, Diabetes and Metabolism (236 citations). Akie Nakamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Toshihiro Tajima, Katsura Ishizu, Maki Fukami, Tsutomu Ogata, Masayo Kagami, Shuntaro Morikawa, Keiko Matsubara, Keisuke Nagasaki, Kazuhiko Nakabayashi and Reiko Horikawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Journal of Clinical Endocrinology & Metabolism.
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.