Ken Izumori
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- Diet, Metabolism, and Disease 206
- Nutrition and Dietetics top 1%
- Microbial Metabolites in Food Biotechnology 19
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 12
- Clinical Biochemistry top 1%
- Physiology top 5%
- Diet and metabolism studies 13
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- Liver Disease Diagnosis and Treatment 30
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- Pancreatic function and diabetes 29
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- Enzyme Structure and Function 26
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- Carbohydrate Chemistry and Synthesis 18
- Co-authors
- Tom GranströmMasaaki TokudaTatsuhiro MatsuoYuanxia SunShigeru HayakawaGoro TakadaGoro TakataHiromichi Itoh
- Journals
- Journal of Biological Chemistry (1 paper)Angewandte Chemie International Edition (1 paper)PLoS ONE (1 paper)
- 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
- Nutrition and Dietetics 680
- Biochemistry 316
- Clinical Biochemistry 262
- 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
The 25 scholars most cited alongside Ken Izumori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2014 | 18 | |
| 10 | 2013 | 25 | |
| 11 | 2011 | 48 | |
| 12 | 2010 | 9 | |
| 13 | 2009 | 3 | |
| 14 | 2008 | 30 | |
| 15 | 2008 | 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 | 2007 | 2 |
| 17 | 2006 | 97 | |
| 18 | 2006 | 21 | |
| 19 | Production of Rare Monosaccharides Using Microorganisms and their Enzymes | 1997 | 1 |
| 20 | [특집 : 새로운 감미료의 산업적 이용과 전망] Production of Rare Monosaccharides Using Microorganisms and Their Enzymes | 1997 | 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), Pancreatic function and diabetes (29 papers), Enzyme Structure and Function (26 papers), Microbial Metabolites in Food Biotechnology (19 papers), Carbohydrate Chemistry and Synthesis (18 papers), Diet and metabolism studies (13 papers) and Amino Acid Enzymes and Metabolism (12 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.