Jo Satoh

3.4k citations
66 papers · 2.5k indexed · 1 hit paper · h-index 27

Jo Satoh

64 papers receiving 2.4k citations

Hit Papers

Report of the Committee on the classification and diagnos...6372002202620102018200400600

Peers

Jo Satoh
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 803
  • Immunology 471
  • Genetics 497
  • Clinical Biochemistry 111
  • Physiology 418
Replace Giulio Ceolotto with:
Giulio Ceolotto Italy
Lisa R. Tannock United States
Hiroki Fujita Japan
Davina Judith Burt United Kingdom
Isao Makino Japan
Andrea Cignarella Italy
Masahiro Nishi Japan
Hai‐Lu Zhao China
Hyun Jin Kim South Korea
Tufail Syed United States
Jo Satoh relative to Giulio Ceolotto Italy Giulio Ceolotto's profile →
Citations per field
00.5×1.5×2.4×
Giulio Ceolotto · 1×
Citations per year

Countries citing papers authored by Jo Satoh

Since Specialization
Citations

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

Fields of papers citing papers by Jo Satoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 201839
4 201815
5 201816
6 201234
7 20114
8 201127
9 201129
10 20094
11 200526
12 200538
13
Report of the Committee on the classification and diagnostic criteria of diabetes mellitusbreakdown →
2002637
14 200158
15 200139
16 199839
17 199736
18 199610
19 19952
20 19951

About Jo Satoh

Jo Satoh is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Genetics, Physiology and Neurology, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes Management and Research (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Diabetes Treatment and Management (8 papers), Pain Mechanisms and Treatments (7 papers), Pancreatic function and diabetes (7 papers) and Botulinum Toxin and Related Neurological Disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (803 citations), Immunology (471 citations), Genetics (497 citations), Clinical Biochemistry (111 citations) and Physiology (418 citations). Jo Satoh has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takayoshi Toyota, Yutaka Seino, Kenji Shima, Shoichi Nakagawa, Yasunori Kanazawa, Yasuhiko Iwamoto, Takeshi Kuzuya, Akira Sasaki, Chikako Ito and Masashi Kobayashi. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes, Diabetes Obesity and Metabolism, Diabetes Research and Clinical Practice and Journal of Autoimmunity.

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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