Kenya Sakamoto

2.1k citations
41 papers · 1.8k indexed · h-index 21

Kenya Sakamoto

41 papers receiving 1.7k citations

Peers

Kenya Sakamoto
Comparison fields: 5 of 109
  • Clinical Biochemistry 382
  • Endocrinology, Diabetes and Metabolism 609
  • Cardiology and Cardiovascular Medicine 434
  • Immunology 204
  • Nephrology 62
Replace Domenico De Cesare with:
Domenico De Cesare Italy
Stephan Schiekofer Germany
Masahiko Igarashi Japan
Daisuke Kukidome Japan
Yukichi Okuda Japan
Vijayakumar Sukumaran Japan
Marisa Passarelli Brazil
David B. Murray United States
Elisabetta Iori Italy
Thomas Gawlowski Germany
Kenya Sakamoto relative to Domenico De Cesare Italy Domenico De Cesare's profile →
Citations per field
00.5×1.7×
Domenico De Cesare · 1×
Citations per year

Countries citing papers authored by Kenya Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kenya Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kenya Sakamoto, 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 Kenya Sakamoto Line = papers co-authored together Kenya Sakamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20151
3 201414
4 201429
5 201335
6 201317
7 201214
8 20122
9 201249
10 200867
11 200784
12 200516
13 200462
14 200062
15 199996
16 199917
17 199729
18 1994116
19 19862
20 19804

About Kenya Sakamoto

Kenya Sakamoto is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (10 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular Function and Risk Factors (6 papers), Pancreatic function and diabetes (6 papers), Cardiovascular Disease and Adiposity (4 papers), Advanced Glycation End Products research (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Clinical Biochemistry (382 citations), Endocrinology, Diabetes and Metabolism (609 citations) and Cardiology and Cardiovascular Medicine (434 citations). Kenya Sakamoto has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Yoshimitsu Yamasaki, Munehide Matsuhisa, Naoto Katakami, Taka‐aki Matsuoka, Hideaki Kaneto, Yoshitaka Kajimoto, Keisuke Kosugi, Dan Kawamori, Takeshi Miyatsuka and Hideaki Kaneto. Their work appears in journals such as Journal of Biological Chemistry, Diabetes Care 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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