Makoto Anzo
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics
- Pediatrics, Perinatology and Child Health top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Nobutake MatsuoTomonobu HasegawaMikako InokuchiPinchas CohenJoshua YangNaoki MatsuoSeiji SatoMotohiro Iseki
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Genetic Syndromes and Imprinting (5 papers)Sexual Differentiation and Disorders (5 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makoto Anzo
34 papers receiving 773 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 296
- Molecular Biology 259
- Genetics 147
- Pediatrics, Perinatology and Child Health 133
- Public Health, Environmental and Occupational Health 118
Countries citing papers authored by Makoto Anzo
This map shows the geographic impact of Makoto Anzo'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 Makoto Anzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Anzo more than expected).
Fields of papers citing papers by Makoto Anzo
This network shows the impact of papers produced by Makoto Anzo. 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 Makoto Anzo. The network helps show where Makoto Anzo may publish in the future.
Co-authorship network of co-authors of Makoto Anzo
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Anzo. A scholar is included among the top collaborators of Makoto Anzo 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 Makoto Anzo. Makoto Anzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 23 | |
| 3 | 7 | |
| 4 | 24 | |
| 5 | 34 | |
| 6 | 89 | |
| 7 | 67 | |
| 8 | 2 | |
| 9 | 41 | |
| 10 | 54 | |
| 11 | 54 | |
| 12 | 28 | |
| 13 | 49 THE CROSS-SECTIONAL BMI GROWTH CURVES FOR JAPANESE FROM BIRTH TO 17 YEARS OF AGE : THE 2000-2001 NATIONAL SURVEY DATA : the comparison with the 1990-1994 data and the 1978-1981 data | 1 |
| 14 | 18 | |
| 15 | 33 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | 32 | |
| 19 | 4 | |
| 20 | 56 |
About Makoto Anzo
Makoto Anzo is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Urology, having authored 35 papers that have together received 794 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Genetic Syndromes and Imprinting (5 papers) and Sexual Differentiation and Disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (296 citations), Aging (18 citations) and Pediatrics, Perinatology and Child Health (133 citations). Makoto Anzo has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Nobutake Matsuo, Tomonobu Hasegawa, Mikako Inokuchi, Pinchas Cohen, Joshua Yang, Naoki Matsuo, Seiji Sato, Motohiro Iseki, Naoya Yamashita and Tsutomu Ogata. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Oncogene.
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.