Kyoko Nakano
- Molecular Biology
- Clinical Biochemistry top 2%
- Biochemistry top 2%
- Surgery
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Hideo MogamiOle H. PetersenAlexei V. TepikinTeruko TakeoTakeyori SahekiSadayuki MatudaTatsusuke SatoYasuo Sakuma
- Topics
- Metabolism and Genetic Disorders (20 papers)Biochemical Acid Research Studies (14 papers)Amino Acid Enzymes and Metabolism (9 papers)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Kyoko Nakano
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 462
- Clinical Biochemistry 198
- Biochemistry 184
- Surgery 164
- Cellular and Molecular Neuroscience 130
Countries citing papers authored by Kyoko Nakano
This map shows the geographic impact of Kyoko Nakano'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 Kyoko Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Nakano more than expected).
Fields of papers citing papers by Kyoko Nakano
This network shows the impact of papers produced by Kyoko Nakano. 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 Kyoko Nakano. The network helps show where Kyoko Nakano may publish in the future.
Co-authorship network of co-authors of Kyoko Nakano
This figure shows the co-authorship network connecting the top 25 collaborators of Kyoko Nakano. A scholar is included among the top collaborators of Kyoko Nakano 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 Kyoko Nakano. Kyoko Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 31 | |
| 7 | Clinical Features of Ceftriaxone-associated Biliary Pseudolithiasis in Children | 2 |
| 8 | [Relationships between participation of national-health-insurance members in a health education program and exercise habits, medical expenses and other related parameters]. | 1 |
| 9 | Reliable differential diagnosis between osteosarcoma and regenerative bone cells in rats through simultaneous analysis of nuclear DNA content and size. | 2 |
| 10 | 231 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 117 | |
| 15 | 28 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | 19 | |
| 20 | 29 |
About Kyoko Nakano
Kyoko Nakano is a scholar working on Clinical Biochemistry, Biochemistry and Microbiology, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Biochemical Acid Research Studies (14 papers) and Amino Acid Enzymes and Metabolism (9 papers). The work is most often cited by research in Clinical Biochemistry (198 citations), Biochemistry (184 citations) and Sensory Systems (96 citations). Kyoko Nakano has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Hideo Mogami, Ole H. Petersen, Alexei V. Tepikin, Teruko Takeo, Takeyori Saheki, Sadayuki Matuda, Tatsusuke Sato, Yasuo Sakuma, Seiji Yasumura and Shigeo Ohta. Their work appears in journals such as Cell, Journal of Biological Chemistry and Diabetes.
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.