Hiroshi Kajinuma
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Physiology top 10%
- Genetics
- Co-authors
- Kinori KosákaAKIO KANETONobusada KuzuyaRyoko HaguraTakashi KadowakiTakeshi KuzuyaY AkanumaFumimaro Takaku
- Topics
- Diabetes Treatment and Management (13 papers)Metabolism, Diabetes, and Cancer (13 papers)Pancreatic function and diabetes (12 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hiroshi Kajinuma
40 papers receiving 951 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 503
- Surgery 363
- Molecular Biology 315
- Physiology 203
- Genetics 163
Countries citing papers authored by Hiroshi Kajinuma
This map shows the geographic impact of Hiroshi Kajinuma'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 Hiroshi Kajinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kajinuma more than expected).
Fields of papers citing papers by Hiroshi Kajinuma
This network shows the impact of papers produced by Hiroshi Kajinuma. 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 Hiroshi Kajinuma. The network helps show where Hiroshi Kajinuma may publish in the future.
Co-authorship network of co-authors of Hiroshi Kajinuma
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kajinuma. A scholar is included among the top collaborators of Hiroshi Kajinuma 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 Hiroshi Kajinuma. Hiroshi Kajinuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | The role of insulin-sensitive phosphodiesterase in insulin action. | 10 |
| 3 | 44 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 85 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 7 | |
| 10 | 27 | |
| 11 | [Metabolism of the blood insulin and C-peptide in acute hepatitis]. | 1 |
| 12 | 39 | |
| 13 | Changes in Serum Levels After Oral Administration | 1 |
| 14 | 44 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | 21 | |
| 18 | [Application of blood insulin determination in diagnosis of diabetes mellitus and its theoretical basis]. | 0 |
| 19 | 4 | |
| 20 | 17 |
About Hiroshi Kajinuma
Hiroshi Kajinuma is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Metabolism, Diabetes, and Cancer (13 papers) and Pancreatic function and diabetes (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (503 citations), Endocrine and Autonomic Systems (83 citations) and Surgery (363 citations). Hiroshi Kajinuma has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kinori Kosáka, AKIO KANETO, Nobusada Kuzuya, Ryoko Hagura, Takashi Kadowaki, Takeshi Kuzuya, Y Akanuma, Fumimaro Takaku, Yasuo Akanuma and Toshio Kaneko. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.
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.