Junji Kamon

18.3k citations
21 papers · 6.3k indexed · 3 hit papers · h-index 15

Junji Kamon

19 papers receiving 6.1k citations

Hit Papers

Impaired Multimerization of Human Adiponectin Mutants Ass...845200120262009201710002.0k3.0k

Peers

Junji Kamon
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 1.1k
  • Physiology 3.2k
  • Epidemiology 3.9k
  • Endocrinology, Diabetes and Metabolism 784
  • Cardiology and Cardiovascular Medicine 975
Replace Hironori Waki with:
Hironori Waki Japan
K. Teoman Uysal United States
Shunbun Kita Japan
Tsu‐Shuen Tsao United States
Ryutaro Komuro Japan
Shoko Uchida Japan
Xueliang Du United States
Glenn T. Barnes United States
Nathalie Viguerie France
Hiroyuki Nagaretani Japan
Junji Kamon relative to Hironori Waki Japan Hironori Waki's profile →
Citations per field
00.5×1.5×
Hironori Waki · 1×
Citations per year

Countries citing papers authored by Junji Kamon

Since Specialization
Citations

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

Fields of papers citing papers by Junji Kamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202014
3 201068
4 20099
5 200461
6 200452
7 2004455
8 2004252
9 200477
10 200421
11 200344
12
Impaired Multimerization of Human Adiponectin Mutants Associated with Diabetesbreakdown →
2003845
13 200316
14 2002135
15
Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated protein kinasebreakdown →
20023416
16 2001110
17
The Mechanisms by Which Both Heterozygous Peroxisome Proliferator-activated Receptor γ (PPARγ) Deficiency and PPARγ Agonist Improve Insulin Resistancebreakdown →
2001550
18 200110
19 2001177
20 19970

About Junji Kamon

Junji Kamon is a scholar working on Physiology, Endocrine and Autonomic Systems, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 21 papers that have together received 6.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Signaling Pathways in Disease (2 papers), Lipid metabolism and disorders (2 papers), Receptor Mechanisms and Signaling (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Physiology (3.2k citations), Epidemiology (3.9k citations), Endocrinology, Diabetes and Metabolism (784 citations) and Cardiology and Cardiovascular Medicine (975 citations). Junji Kamon has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Toshimasa Yamauchi, Takashi Kadowaki, Hironori Waki, Satoshi Kimura, Yusuke Ito, Shunbun Kita, Shoko Uchida, Philippe Froguel, Mitsuhiko Noda and Kazuhiro Eto. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Nature Genetics, Scientific Reports and Nature Medicine.

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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