Kazuyuki Tobe
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- Diabetes Treatment and Management 29
- Diabetes Management and Research 18
- Physiology top 0.2%
- Adipose Tissue and Metabolism 51
- Geriatrics and Gerontology top 0.5%
- Molecular Biology top 0.2%
- Metabolism, Diabetes, and Cancer 66
- Protein Kinase Regulation and GTPase Signaling 25
- Endocrine and Autonomic Systems top 0.5%
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- Adipokines, Inflammation, and Metabolic Diseases 43
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- Pancreatic function and diabetes 41
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- Diabetes and associated disorders 19
- Co-authors
- Takashi KadowakiToshimasa YamauchiRyozo NagaiYasuo TerauchiYoshio YazakiKohjiro UekiNaoto KubotaHiroyuki Tamemoto
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuyuki Tobe
294 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Endocrinology, Diabetes and Metabolism 3.3k
- Physiology 4.8k
- Geriatrics and Gerontology 664
- Molecular Biology 9.9k
- Endocrine and Autonomic Systems 826
Countries citing papers authored by Kazuyuki Tobe
This map shows the geographic impact of Kazuyuki Tobe'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 Kazuyuki Tobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyuki Tobe more than expected).
Fields of papers citing papers by Kazuyuki Tobe
This network shows the impact of papers produced by Kazuyuki Tobe. 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 Kazuyuki Tobe. The network helps show where Kazuyuki Tobe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuyuki Tobe, 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 | 2023 | 10 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 97 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 19 | |
| 12 | CD206 positive intestinal macrophages contribute to the colonic epithelial wound healing | 2017 | 1 |
| 13 | 2008 | 208 | |
| 14 | 2007 | 275 | |
| 15 | 2006 | 269 | |
| 16 | 2004 | 189 | |
| 17 | 2003 | 1 | |
| 18 | 2000 | 75 | |
| 19 | 1997 | 108 | |
| 20 | 1996 | 54 |
About Kazuyuki Tobe
Kazuyuki Tobe is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 307 papers that have together received 18.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (66 papers), Adipose Tissue and Metabolism (51 papers), Adipokines, Inflammation, and Metabolic Diseases (43 papers), Pancreatic function and diabetes (41 papers), Diabetes Treatment and Management (29 papers), Protein Kinase Regulation and GTPase Signaling (25 papers), Diabetes and associated disorders (19 papers) and Diabetes Management and Research (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.3k citations), Physiology (4.8k citations) and Geriatrics and Gerontology (664 citations). Kazuyuki Tobe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takashi Kadowaki, Toshimasa Yamauchi, Ryozo Nagai, Yasuo Terauchi, Yoshio Yazaki, Kohjiro Ueki, Naoto Kubota, Hiroyuki Tamemoto, Ryo Suzuki and Yasushi Kaburagi. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.