Shūichi Katoh

702 citations
12 papers · 434 indexed · h-index 8
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Liver Disease Diagnosis and Treatment (3 papers)Diabetes Treatment and Management (3 papers)
Partner nations
JapanFinlandAustria

In The Last Decade

Shūichi Katoh

12 papers receiving 413 citations

Peers

Shūichi Katoh
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 219
  • Cardiology and Cardiovascular Medicine 125
  • Epidemiology 97
  • Physiology 78
  • Molecular Biology 75
Replace P Gasparini with:
P Gasparini Italy
Yaomin Hu China
Gerald M. Reaven United States
Andrea Girola Italy
Chi Sheng Hung Taiwan
A. St-Pierre Canada
P R Conlin United States
C Castillo United States
B Y Tan Singapore
Antonio Hernández Mijares Spain
Shūichi Katoh relative to P Gasparini Italy P Gasparini's profile →
Citations per field
00.5×
P Gasparini · 1×
Citations per year

Countries citing papers authored by Shūichi Katoh

Since Specialization
Citations

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

Fields of papers citing papers by Shūichi Katoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shūichi Katoh

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 2
3 14
4 29
5 58
6 18
7 126
8 65
9 2
10 44
11 68
12 3

About Shūichi Katoh

Shūichi Katoh is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Nephrology, having authored 12 papers that have together received 434 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (219 citations), Cardiology and Cardiovascular Medicine (125 citations) and Nephrology (33 citations). Shūichi Katoh has collaborated with scholars based in Japan, Finland and Austria. Frequent co-authors include Jaakko Tuomilehto, Gang Hu, Pekka Jousilahti, Naoko Tajima, Qing Qiao, Valma Harjutsalo, Jaakko Tuomilehto, Cinzia Sarti, Markku Peltonen and Qing Qiao. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism 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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