Kiyoshi Hashizume
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Surgery top 5%
- Genetics top 5%
- Epidemiology top 5%
- Co-authors
- Toru AizawaKazuo IchikawaTakahide MiyamotoKeishi YamauchiMitsuhisa KomatsuTeiji TakedaSatoru SuzukiAkihiro Sakurai
- Topics
- Thyroid Disorders and Treatments (37 papers)Neuroendocrine Tumor Research Advances (33 papers)Pancreatic function and diabetes (33 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryMolecular and Cellular Biology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kiyoshi Hashizume
207 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 120
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 1.4k
- Surgery 769
- Genetics 557
- Epidemiology 495
Countries citing papers authored by Kiyoshi Hashizume
This map shows the geographic impact of Kiyoshi Hashizume'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 Kiyoshi Hashizume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Hashizume more than expected).
Fields of papers citing papers by Kiyoshi Hashizume
This network shows the impact of papers produced by Kiyoshi Hashizume. 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 Kiyoshi Hashizume. The network helps show where Kiyoshi Hashizume may publish in the future.
Co-authorship network of co-authors of Kiyoshi Hashizume
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Hashizume. A scholar is included among the top collaborators of Kiyoshi Hashizume 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 Kiyoshi Hashizume. Kiyoshi Hashizume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 14 | |
| 6 | 22 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 42 | |
| 15 | 64 | |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | Dipyridamole reduces urinary albumin excretion in diabetic patients with normo- or microalbuminuria. | 18 |
| 20 | 1 |
About Kiyoshi Hashizume
Kiyoshi Hashizume is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 215 papers that have together received 3.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (37 papers), Neuroendocrine Tumor Research Advances (33 papers) and Pancreatic function and diabetes (33 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Physiology (102 citations) and Molecular Biology (1.4k citations). Kiyoshi Hashizume has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toru Aizawa, Kazuo Ichikawa, Takahide Miyamoto, Keishi Yamauchi, Mitsuhisa Komatsu, Teiji Takeda, Satoru Suzuki, Akihiro Sakurai, Tomoko Kakizawa and Yoshihiko Sato. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.