Tetsuto Kanzaki

2.1k citations
51 papers · 1.8k indexed · h-index 21
Topics
TGF-β signaling in diseases (10 papers)Cell Adhesion Molecules Research (9 papers)Peroxisome Proliferator-Activated Receptors (6 papers)
Partner nations
JapanSwedenBelgium

In The Last Decade

Tetsuto Kanzaki

48 papers receiving 1.8k citations

Peers

Tetsuto Kanzaki
Comparison fields: 5 of 109
  • Molecular Biology 1.0k
  • Immunology and Allergy 283
  • Genetics 264
  • Cancer Research 261
  • Surgery 214
Replace Yan Ru Su with:
Yan Ru Su United States
Ramendra K. Kundu United States
Qinghong Zhang China
Ilaria Canobbio Italy
Takashi Oite Japan
Weiwei Qi China
Hernan E. Grenett United States
Göran Bondjers Sweden
Sandra Grès France
Mauro Torti Italy
Tetsuto Kanzaki relative to Yan Ru Su United States Yan Ru Su's profile →
Citations per field
00.5×1.5×2.3×
Yan Ru Su · 1×
Citations per year

Countries citing papers authored by Tetsuto Kanzaki

Since Specialization
Citations

This map shows the geographic impact of Tetsuto Kanzaki'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 Tetsuto Kanzaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuto Kanzaki more than expected).

Fields of papers citing papers by Tetsuto Kanzaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tetsuto Kanzaki. 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 Tetsuto Kanzaki. The network helps show where Tetsuto Kanzaki may publish in the future.

Co-authorship network of co-authors of Tetsuto Kanzaki

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuto Kanzaki. A scholar is included among the top collaborators of Tetsuto Kanzaki 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 Tetsuto Kanzaki. Tetsuto Kanzaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Decrease of Patients with Brain Infarction through Evaluation of Relative Risk Value of Brain Infarction by Measurement of Protein-Conjugated Acrolein, IL-6 and CRP in Plasma Together with Age
2
3 3
4 37
5 54
6 7
7 8
8 23
9 6
10 2
11 14
12 27
13 4
14 10
15 10
16 48
17 44
18 46
19 15
20 64

About Tetsuto Kanzaki

Tetsuto Kanzaki is a scholar working on Immunology and Allergy, Clinical Biochemistry and Biochemistry, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (10 papers), Cell Adhesion Molecules Research (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Immunology and Allergy (283 citations), Cancer Research (261 citations) and Clinical Biochemistry (104 citations). Tetsuto Kanzaki has collaborated with scholars based in Japan, Sweden and Belgium. Frequent co-authors include Anders Olofsson, Kohei Miyazono, Carl‐Henrik Heldin, Nobuhiro Morisaki, Anita Morén, Lena Claesson‐Welsh, Ulf Hellman, Christer Wernstedt, Sho Yoshida and Yasushi Saitō. Their work appears in journals such as Cell, Journal of Biological Chemistry 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.

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