Kazuyuki Tobe

40.0k citations
307 papers · 18.5k indexed · 6 hit papers · h-index 70

Kazuyuki Tobe

294 papers receiving 18.1k citations

Hit Papers

Semaglut...2051994202620042015250500750

Peers

Kazuyuki Tobe
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
Replace Brian N. Finck with:
Brian N. Finck United States
Gregory R. Steinberg Canada
Tomoichiro Asano Japan
Marc Foretz France
Hiroshi Itoh Japan
Eiichi Araki Japan
Kohjiro Ueki Japan
Nicolas Musi United States
Rudolf Zechner Austria
David E. Moller United States
Kazuyuki Tobe relative to Brian N. Finck United States Brian N. Finck's profile →
Citations per field
00.5×1.5×1.8×
Brian N. Finck · 1×
Citations per year

Countries citing papers authored by Kazuyuki Tobe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kazuyuki Tobe Line = papers co-authored together Kazuyuki Tobe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202310
2 20230
3 20222
4 20215
5 20216
6 20207
7 202013
8 201997
9 201818
10 20171
11 201719
12
CD206 positive intestinal macrophages contribute to the colonic epithelial wound healing
20171
13 2008208
14 2007275
15 2006269
16 2004189
17 20031
18 200075
19 1997108
20 199654

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.

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