Yusuke Hada

3.4k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Yusuke Hada is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yusuke Hada has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yusuke Hada's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Blood properties and coagulation (3 papers) and Adipose Tissue and Metabolism (3 papers). Yusuke Hada is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Blood properties and coagulation (3 papers) and Adipose Tissue and Metabolism (3 papers). Yusuke Hada collaborates with scholars based in Japan and France. Yusuke Hada's co-authors include Takashi Kadowaki, Toshimasa Yamauchi, Yusuke Ito, Hironori Waki, Junji Kamon, Atsushi Tsuchida, Shunbun Kita, Shoko Uchida, Kazuo Hara and Sato Takekawa and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Biochemical and Biophysical Research Communications.

In The Last Decade

Yusuke Hada

8 papers receiving 1.7k citations

Hit Papers

Impaired Multimerization of Human Adiponectin Mutants Ass... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yusuke Hada Japan 8 1.4k 883 428 343 294 8 1.7k
Nanlan Luo United States 14 1.1k 0.8× 781 0.9× 626 1.5× 213 0.6× 332 1.1× 16 1.9k
Gina B. Di Gregorio United States 7 825 0.6× 704 0.8× 359 0.8× 193 0.6× 244 0.8× 8 1.4k
Agnès Pernin Switzerland 13 733 0.5× 811 0.9× 818 1.9× 319 0.9× 379 1.3× 16 2.0k
Eva Klimčáková France 27 898 0.7× 1.3k 1.4× 645 1.5× 224 0.7× 392 1.3× 37 2.1k
Sato Takekawa Japan 6 842 0.6× 616 0.7× 338 0.8× 208 0.6× 182 0.6× 8 1.2k
Naoki Furuyama Japan 10 1.9k 1.3× 1.3k 1.4× 726 1.7× 553 1.6× 550 1.9× 13 2.8k
Jason DeFuria United States 13 1.1k 0.8× 933 1.1× 447 1.0× 122 0.4× 226 0.8× 18 2.1k
Markus Clemenz Germany 14 733 0.5× 606 0.7× 601 1.4× 129 0.4× 364 1.2× 15 1.7k
Jorge L. Durand United States 8 730 0.5× 731 0.8× 314 0.7× 145 0.4× 260 0.9× 11 1.3k
Silvia Gogg Sweden 13 738 0.5× 935 1.1× 671 1.6× 116 0.3× 269 0.9× 18 1.7k

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-authorship network of co-authors of Yusuke Hada

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Hada. A scholar is included among the top collaborators of Yusuke Hada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yusuke Hada. Yusuke Hada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hada, Yusuke, Toshimasa Yamauchi, & Takashi Kadowaki. (2015). 3. Pharmacotherapy of Obesity. Nihon Naika Gakkai Zasshi. 104(4). 735–741. 9 indexed citations
2.
Takazawa, Takeshi, Toshimasa Yamauchi, Atsushi Tsuchida, et al.. (2009). Peroxisome Proliferator-activated Receptor γ Agonist Rosiglitazone Increases Expression of Very Low Density Lipoprotein Receptor Gene in Adipocytes. Journal of Biological Chemistry. 284(44). 30049–30057. 29 indexed citations
3.
Hada, Yusuke, Toshimasa Yamauchi, Hironori Waki, et al.. (2007). Selective purification and characterization of adiponectin multimer species from human plasma. Biochemical and Biophysical Research Communications. 356(2). 487–493. 127 indexed citations
4.
Ebinuma, Hiroyuki, Takashi Miida, Toshimasa Yamauchi, et al.. (2007). Improved ELISA for Selective Measurement of Adiponectin Multimers and Identification of Adiponectin in Human Cerebrospinal Fluid. Clinical Chemistry. 53(8). 1541–1544. 63 indexed citations
5.
Tsuchida, Atsushi, Toshimasa Yamauchi, Sato Takekawa, et al.. (2005). Peroxisome Proliferator–Activated Receptor (PPAR)α Activation Increases Adiponectin Receptors and Reduces Obesity-Related Inflammation in Adipose Tissue. Diabetes. 54(12). 3358–3370. 357 indexed citations
6.
Kamon, Junji, Toshimasa Yamauchi, Susumu Muto, et al.. (2004). A novel IKKβ inhibitor stimulates adiponectin levels and ameliorates obesity-linked insulin resistance. Biochemical and Biophysical Research Communications. 323(1). 242–248. 61 indexed citations
7.
Waki, Hironori, Toshimasa Yamauchi, Junji Kamon, et al.. (2004). Generation of Globular Fragment of Adiponectin by Leukocyte Elastase Secreted by Monocytic Cell Line THP-1. Endocrinology. 146(2). 790–796. 252 indexed citations
8.
Waki, Hironori, Toshimasa Yamauchi, Junji Kamon, et al.. (2003). Impaired Multimerization of Human Adiponectin Mutants Associated with Diabetes. Journal of Biological Chemistry. 278(41). 40352–40363. 845 indexed citations breakdown →

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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