Mayumi Nagano
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology
- Organic Chemistry
- Plant Science
- Co-authors
- Yoshiki YamaguchiKoichi KatoKenya ShitaraHiroaki SasakawaS. MatsumiyaShizuo OtakiMitsuo SatohJunichi Saito
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Diet and metabolism studies (4 papers)Glycosylation and Glycoproteins Research (3 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Mayumi Nagano
37 papers receiving 763 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 490
- Radiology, Nuclear Medicine and Imaging 346
- Immunology 137
- Organic Chemistry 89
- Plant Science 88
Countries citing papers authored by Mayumi Nagano
This map shows the geographic impact of Mayumi Nagano'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 Mayumi Nagano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Nagano more than expected).
Fields of papers citing papers by Mayumi Nagano
This network shows the impact of papers produced by Mayumi Nagano. 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 Mayumi Nagano. The network helps show where Mayumi Nagano may publish in the future.
Co-authorship network of co-authors of Mayumi Nagano
This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Nagano. A scholar is included among the top collaborators of Mayumi Nagano 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 Mayumi Nagano. Mayumi Nagano 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 | 36 | |
| 3 | 4 | |
| 4 | The Legal Framework for Inclusion of Students with Disabilities: A Comparative Analysis of Japan and the United States. | 11 |
| 5 | 91 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 11 | |
| 9 | 223 | |
| 10 | 169 | |
| 11 | 7 | |
| 12 | [The cutoff point of visceral fat area as a goal for improving risk factors of arteriosclerosis in patients with glucose intolerance]. | 2 |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | [A questionnaire study on health administration in small enterprises in a rural region]. | 4 |
| 17 | 15 | |
| 18 | 23 | |
| 19 | 22 | |
| 20 | 20 |
About Mayumi Nagano
Mayumi Nagano is a scholar working on Endocrinology, Diabetes and Metabolism, Speech and Hearing and Clinical Biochemistry, having authored 37 papers that have together received 806 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diet and metabolism studies (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (346 citations), Molecular Biology (490 citations) and Immunology (137 citations). Mayumi Nagano has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yoshiki Yamaguchi, Koichi Kato, Kenya Shitara, Hiroaki Sasakawa, S. Matsumiya, Shizuo Otaki, Mitsuo Satoh, Junichi Saito, Koichiro Ohnuki and Hirokazu Yagi. Their work appears in journals such as Journal of Molecular Biology, Medicine & Science in Sports & Exercise and Tetrahedron.
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.