Meisei Hirota
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Molecular Biology
- Cellular and Molecular Neuroscience
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Kenji ShimaChizuko OhboshiIchiro ShimizuYasuhiro TaharaAkira TanakaY KumaharaTomoyoshi NishinoHiroshi Ikegami
- Topics
- Diabetes Treatment and Management (9 papers)Pancreatic function and diabetes (8 papers)Neuropeptides and Animal Physiology (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsCellular and Molecular Neuroscience
- Partner nations
- Japan
In The Last Decade
Meisei Hirota
21 papers receiving 418 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 265
- Surgery 192
- Molecular Biology 97
- Cellular and Molecular Neuroscience 96
- Endocrine and Autonomic Systems 80
Countries citing papers authored by Meisei Hirota
This map shows the geographic impact of Meisei Hirota'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 Meisei Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meisei Hirota more than expected).
Fields of papers citing papers by Meisei Hirota
This network shows the impact of papers produced by Meisei Hirota. 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 Meisei Hirota. The network helps show where Meisei Hirota may publish in the future.
Co-authorship network of co-authors of Meisei Hirota
This figure shows the co-authorship network connecting the top 25 collaborators of Meisei Hirota. A scholar is included among the top collaborators of Meisei Hirota 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 Meisei Hirota. Meisei Hirota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 32 | |
| 3 | 8 | |
| 4 | High-performance Liquid Chromatographic Assay of Serum Glycated Albumin, with Special Reference to a Comparison of Its Assay Conditions with Those of Fructosamine | 2 |
| 5 | 2 | |
| 6 | 56 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 148 | |
| 16 | 15 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 30 | |
| 20 | 1 |
About Meisei Hirota
Meisei Hirota is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 22 papers that have together received 426 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Pancreatic function and diabetes (8 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (265 citations), Endocrine and Autonomic Systems (80 citations) and Cellular and Molecular Neuroscience (96 citations). Meisei Hirota has collaborated with scholars based in Japan. Frequent co-authors include Kenji Shima, Chizuko Ohboshi, Ichiro Shimizu, Yasuhiro Tahara, Akira Tanaka, Y Kumahara, Tomoyoshi Nishino, Hiroshi Ikegami, Eiji Yamato and Sadahito Shin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology and Clinica Chimica Acta.
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.