Kazuhiro Sonoda

2.1k total citations
17 papers, 1.7k citations indexed

About

Kazuhiro Sonoda is a scholar working on Molecular Biology, Surgery and Clinical Biochemistry. According to data from OpenAlex, Kazuhiro Sonoda has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Clinical Biochemistry. Recurrent topics in Kazuhiro Sonoda's work include Peroxisome Proliferator-Activated Receptors (4 papers), Advanced Glycation End Products research (4 papers) and Adipose Tissue and Metabolism (3 papers). Kazuhiro Sonoda is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Advanced Glycation End Products research (4 papers) and Adipose Tissue and Metabolism (3 papers). Kazuhiro Sonoda collaborates with scholars based in Japan and United States. Kazuhiro Sonoda's co-authors include Eiichi Araki, Daisuke Kukidome, Takeshi Nishikawa, Takeshi Matsumura, Hiroyuki Motoshima, Miyuki Yano, Kazuo Fujisawa, Tetsuya Taguchi, Tomoko Matsuo and Shinsuke Kiritoshi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Circulation Research.

In The Last Decade

Kazuhiro Sonoda

17 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuhiro Sonoda Japan 14 784 416 275 263 260 17 1.7k
Hiroyuki Unoki‐Kubota Japan 19 697 0.9× 307 0.7× 282 1.0× 265 1.0× 260 1.0× 37 1.6k
Daisuke Kukidome Japan 21 1.1k 1.4× 570 1.4× 364 1.3× 353 1.3× 287 1.1× 30 2.2k
Doina Popov Romania 25 785 1.0× 495 1.2× 315 1.1× 189 0.7× 348 1.3× 65 2.1k
Ji Hee Lim South Korea 28 901 1.1× 497 1.2× 349 1.3× 294 1.1× 156 0.6× 46 2.2k
Gabriela Orasanu United States 14 822 1.0× 371 0.9× 302 1.1× 212 0.8× 108 0.4× 20 1.6k
Annette Graham United Kingdom 24 585 0.7× 394 0.9× 192 0.7× 426 1.6× 124 0.5× 63 1.7k
Elisabetta Iori Italy 22 732 0.9× 490 1.2× 609 2.2× 297 1.1× 167 0.6× 73 1.9k
Matthew A. Kluge United States 12 731 0.9× 443 1.1× 156 0.6× 355 1.3× 161 0.6× 16 1.9k
G L King United States 12 823 1.0× 500 1.2× 457 1.7× 218 0.8× 477 1.8× 14 2.1k
Jay C. Jha Australia 21 902 1.2× 519 1.2× 453 1.6× 229 0.9× 512 2.0× 38 2.5k

Countries citing papers authored by Kazuhiro Sonoda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Sonoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiro Sonoda

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Sonoda. A scholar is included among the top collaborators of Kazuhiro Sonoda 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 Kazuhiro Sonoda. Kazuhiro Sonoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Haeffner, Melissa, et al.. (2021). Traditional Ecological Knowledge and Inclusive Pedagogy Increase Retention and Success Outcomes of STEM Students. Bulletin of the Ecological Society of America. 102(4). 12 indexed citations
2.
Nishikawa, Takeshi, Daisuke Kukidome, Kazuhiro Sonoda, et al.. (2016). Hyperglycemia Induces Cellular Hypoxia through Production of Mitochondrial ROS Followed by Suppression of Aquaporin-1. PLoS ONE. 11(7). e0158619–e0158619. 86 indexed citations
3.
Fukami, Kei, Sho‐ichi Yamagishi, Kazuko Sakai, et al.. (2013). Dialysate Vascular Endothelial Growth Factor Is an Independent Determinant of Serum Albumin Levels and Predicts Future Withdrawal From Peritoneal Dialysis in Uremic Patients. Therapeutic Apheresis and Dialysis. 18(5). 391–397. 9 indexed citations
4.
Kondo, Tatsuya, Rieko Goto, Kazuhiro Sonoda, et al.. (2010). Plasma Renin Activity and Aldosterone Concentration are not Altered by the Novel Calcium Channel Antagonist, Azelnidipine, in Hypertensive Patients. Internal Medicine. 49(7). 637–643. 9 indexed citations
5.
6.
Goto, Hideo, Takeshi Nishikawa, Kazuhiro Sonoda, et al.. (2007). Endothelial MnSOD overexpression prevents retinal VEGF expression in diabetic mice. Biochemical and Biophysical Research Communications. 366(3). 814–820. 36 indexed citations
7.
Nishikawa, Takeshi, Daisuke Kukidome, Kazuhiro Sonoda, et al.. (2007). Impact of mitochondrial ROS production on diabetic vascular complications. Diabetes Research and Clinical Practice. 77(3). S41–S45. 73 indexed citations
8.
Nishikawa, Takeshi, Daisuke Kukidome, Kazuhiro Sonoda, et al.. (2007). Impact of mitochondrial ROS production in the pathogenesis of insulin resistance. Diabetes Research and Clinical Practice. 77(3). S161–S164. 97 indexed citations
9.
10.
Yano, Miyuki, Takeshi Matsumura, Takafumi Senokuchi, et al.. (2006). Troglitazone inhibits oxidized low-density lipoprotein-induced macrophage proliferation: Impact of the suppression of nuclear translocation of ERK1/2. Atherosclerosis. 191(1). 22–32. 13 indexed citations
11.
Kukidome, Daisuke, Takeshi Nishikawa, Kazuhiro Sonoda, et al.. (2006). Impact of Mitochondrial Reactive Oxygen Species and Apoptosis Signal–Regulating Kinase 1 on Insulin Signaling. Diabetes. 55(5). 1197–1204. 102 indexed citations
12.
Senokuchi, Takafumi, Takeshi Matsumura, Masakazu Sakai, et al.. (2004). Extracellular signal-regulated kinase and p38 mitogen-activated protein kinase mediate macrophage proliferation induced by oxidized low-density lipoprotein. Atherosclerosis. 176(2). 233–245. 64 indexed citations
13.
Senokuchi, Takafumi, Takeshi Matsumura, Masakazu Sakai, et al.. (2004). Statins Suppress Oxidized Low Density Lipoprotein-induced Macrophage Proliferation by Inactivation of the Small G Protein-p38 MAPK Pathway. Journal of Biological Chemistry. 280(8). 6627–6633. 74 indexed citations
14.
Matsuo, Tomoko, Takeshi Matsumura, Masakazu Sakai, et al.. (2004). 15d-PGJ2 inhibits oxidized LDL-induced macrophage proliferation by inhibition of GM-CSF production via inactivation of NF-κB. Biochemical and Biophysical Research Communications. 314(3). 817–823. 14 indexed citations
15.
Kiritoshi, Shinsuke, Takeshi Nishikawa, Kazuhiro Sonoda, et al.. (2003). Reactive Oxygen Species from Mitochondria Induce Cyclooxygenase-2 Gene Expression in Human Mesangial Cells. Diabetes. 52(10). 2570–2577. 299 indexed citations
16.
Nishikawa, Takeshi, Takayuki Sasahara, Shinsuke Kiritoshi, et al.. (2003). Evaluation of Urinary 8-Hydroxydeoxy-Guanosine as a Novel Biomarker of Macrovascular Complications in Type 2 Diabetes. Diabetes Care. 26(5). 1507–1512. 162 indexed citations
17.
Toyonaga, Tomomi, Tatsuya Kondo, Nobuhiro Miyamura, et al.. (2002). Sudden onset of diabetes with ketoacidosis in a patient treated with FK506/tacrolimus. Diabetes Research and Clinical Practice. 56(1). 13–18. 16 indexed citations

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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