Ken Izumori
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 5%
- Surgery top 2%
- Plant Science top 5%
- Physiology top 5%
- Co-authors
- Tom GranströmMasaaki TokudaTatsuhiro MatsuoYuanxia SunShigeru HayakawaGoro TakadaGoro TakataHiromichi Itoh
- Topics
- Diet, Metabolism, and Disease (206 papers)Liver Disease Diagnosis and Treatment (30 papers)Pancreatic function and diabetes (29 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Ken Izumori
229 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 5.3k
- Molecular Biology 1.7k
- Surgery 1.2k
- Plant Science 776
- Physiology 734
Countries citing papers authored by Ken Izumori
This map shows the geographic impact of Ken Izumori'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 Ken Izumori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Izumori more than expected).
Fields of papers citing papers by Ken Izumori
This network shows the impact of papers produced by Ken Izumori. 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 Ken Izumori. The network helps show where Ken Izumori may publish in the future.
Co-authorship network of co-authors of Ken Izumori
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Izumori. A scholar is included among the top collaborators of Ken Izumori 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 Ken Izumori. Ken Izumori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 25 | |
| 11 | 48 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 30 | |
| 15 | 17 | |
| 16 | Pseudomonas stutzeri L-ラムノース・イソメラーゼの活性部位上の金属イオンの役割 | 2 |
| 17 | 97 | |
| 18 | 21 | |
| 19 | Production of Rare Monosaccharides Using Microorganisms and their Enzymes | 1 |
| 20 | [특집 : 새로운 감미료의 산업적 이용과 전망] Production of Rare Monosaccharides Using Microorganisms and Their Enzymes | 1 |
About Ken Izumori
Ken Izumori is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Nutrition and Dietetics, having authored 231 papers that have together received 7.1k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (206 papers), Liver Disease Diagnosis and Treatment (30 papers) and Pancreatic function and diabetes (29 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.3k citations), Nutrition and Dietetics (680 citations) and Biochemistry (316 citations). Ken Izumori has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tom Granström, Masaaki Tokuda, Tatsuhiro Matsuo, Yuanxia Sun, Shigeru Hayakawa, Goro Takada, Goro Takata, Hiromichi Itoh, Kenji Morimoto and Mineo HASHIGUCHI. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and PLoS ONE.
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.