Shin Yonemitsu

2.5k citations
35 papers · 2.0k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Shin Yonemitsu

35 papers receiving 1.9k citations

Hit Papers

The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome 2007 · 558 citations
5582007202620132019100200300400500

Peers

Shin Yonemitsu
Comparison fields: 5 of 97
  • Geriatrics and Gerontology 232
  • Physiology 956
  • Endocrinology, Diabetes and Metabolism 572
  • Epidemiology 646
  • Aging 24
Replace Ji Hee Lim with:
Ji Hee Lim South Korea
Hirobumi Tokuyama Japan
Hayley M. O’Neill Australia
Masami Chin‒Kanasaki Japan
Yoshio Nagai Japan
Daisuke Kukidome Japan
Katarina Marcinko Canada
Edward C. Mun United States
Sabina Paglialunga Canada
Preeti Kishore United States
Shin Yonemitsu relative to Ji Hee Lim South Korea Ji Hee Lim's profile →
Citations per field
00.5×1.5×1.9×
Ji Hee Lim · 1×
Citations per year

Countries citing papers authored by Shin Yonemitsu

Since Specialization
Citations

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

Fields of papers citing papers by Shin Yonemitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20201
2 20206
3 20173
4 201612
5 20142
6 201318
7 20128
8 20129
9 201262
10 2011239
11 2009174
12 200990
13
The role of skeletal muscle insulin resistance in the pathogenesis of the metabolic syndrome
Hit paper breakdown →
2007558
14 200727
15 200659
16 200637
17 2004117
18 200056
19 199911
20 199623

About Shin Yonemitsu

Shin Yonemitsu is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism, Physiology, Nephrology and Endocrine and Autonomic Systems, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Adipose Tissue and Metabolism (7 papers), Pancreatic function and diabetes (7 papers), Diet and metabolism studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (232 citations), Physiology (956 citations), Endocrinology, Diabetes and Metabolism (572 citations), Epidemiology (646 citations) and Aging (24 citations). Shin Yonemitsu has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Gerald I. Shulman, Gary W. Cline, Kitt Falk Petersen, Stefan Bilz, David B. Savage, Sylvie Dufour, Sanjay Bhanot, Derek M. Erion, Barbara B. Kahn and Laura Zemany. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Metabolism, Cell Metabolism and Endocrinology.

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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