Yusuke Hada

3.4k citations
8 papers · 1.7k · 1 hit paper · h-index 8

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 7
    • Signaling Pathways in Disease 2
    • Peroxisome Proliferator-Activated Receptors 2
    • S100 Proteins and Annexins 1

Yusuke Hada

8 papers receiving 1.7k citations

Yusuke Hada's Hit Papers

Impaired Multimerization of Human Adiponectin Mutants Associated with Diabetes 2003 · 845 citations
8450+7+15Years since publication250500750

Peers

Yusuke Hada
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 343
  • Epidemiology 1.4k
  • Physiology 883
  • Cardiology and Cardiovascular Medicine 294
  • Rehabilitation 80
Replace Nanlan Luo with:
Nanlan Luo United States
Sato Takekawa Japan
Gina B. Di Gregorio United States
Eva Klimčáková France
Naoki Furuyama Japan
Samar I. Itani United States
Takamasa Higashimori United States
E. Maerker Germany
Agnès Pernin Switzerland
Jason DeFuria United States
Yusuke Hada relative to Nanlan Luo United States Nanlan Luo's profile →
Citations per field
00.5×1.6×
Nanlan Luo · 1×
Citations per year

Countries citing papers authored by Yusuke Hada

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Hada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Impaired Multimerization of Human Adiponectin Mutants Associated with Diabetes
Hit paper breakdown →
2003845
2 2005357
3 2004252
4 2007127
5 200763
6 200461
7 200929
8 20159

About Yusuke Hada

Yusuke Hada is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (3 papers), Blood properties and coagulation (3 papers), Signaling Pathways in Disease (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Pharmacology and Obesity Treatment (1 paper), NF-κB Signaling Pathways (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (343 citations), Epidemiology (1.4k citations), Physiology (883 citations), Cardiology and Cardiovascular Medicine (294 citations) and Rehabilitation (80 citations). Yusuke Hada has collaborated with scholars based in Japan and France. Frequent co-authors include Takashi Kadowaki, Toshimasa Yamauchi, Yusuke Ito, Hironori Waki, Junji Kamon, Atsushi Tsuchida, Shoko Uchida, Shunbun Kita, Kazuo Hara and Sato Takekawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Clinical Chemistry, Endocrinology 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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