Masaaki Kagimoto
- Pharmacology top 1%
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- Hormonal and reproductive studies 3
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 4
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- Sexual Differentiation and Disorders 8
- Glycosylation and Glycoproteins Research 2
- Mitochondrial Function and Pathology 2
- Epigenetics and DNA Methylation 2
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 3
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- Amino Acid Enzymes and Metabolism 2
Masaaki Kagimoto
22 papers receiving 934 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 328
- Endocrinology, Diabetes and Metabolism 392
- Clinical Biochemistry 87
- Molecular Biology 566
- Genetics 228
Countries citing papers authored by Masaaki Kagimoto
This map shows the geographic impact of Masaaki Kagimoto'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 Masaaki Kagimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Kagimoto more than expected).
Fields of papers citing papers by Masaaki Kagimoto
This network shows the impact of papers produced by Masaaki Kagimoto. 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 Masaaki Kagimoto. The network helps show where Masaaki Kagimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaaki Kagimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 11 | |
| 2 | 1992 | 41 | |
| 3 | 1992 | 20 | |
| 4 | 1990 | 5 | |
| 5 | 1990 | 215 | |
| 6 | 1989 | 36 | |
| 7 | 1989 | 126 | |
| 8 | 1989 | 32 | |
| 9 | 1989 | 78 | |
| 10 | 1988 | 16 | |
| 11 | 1988 | 122 | |
| 12 | 1988 | 9 | |
| 13 | 1987 | 27 | |
| 14 | Identification of abnormal hemoglobin (J Lome): beta 59 (E3) lysine----asparagine in a Japanese. | 1986 | 0 |
| 15 | Thalassemia in Japan. | 1985 | 4 |
| 16 | 1985 | 6 | |
| 17 | 1984 | 11 | |
| 18 | 1984 | 28 | |
| 19 | 1984 | 4 | |
| 20 | 1983 | 5 |
About Masaaki Kagimoto
Masaaki Kagimoto is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Genetics, Biochemistry and Molecular Biology, having authored 24 papers that have together received 963 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (8 papers), Metabolism and Genetic Disorders (4 papers), Hormonal and reproductive studies (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Pharmacology (328 citations), Endocrinology, Diabetes and Metabolism (392 citations), Clinical Biochemistry (87 citations), Molecular Biology (566 citations) and Genetics (228 citations). Masaaki Kagimoto has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael R. Waterman, Tanja Zeugin, Markus H. Heim, Urs Meyer, E R Simpson, Jeremy S.D. Winter, Evan R. Simpson, John McCarthy, Matthew C. Lorence and J. Ian Mason. Their work appears in journals such as Journal of Biological Chemistry, Human Genetics, Molecular Endocrinology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Archives of Biochemistry and Biophysics.
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.