Junya Kuroyanagi

1.2k total citations
22 papers, 980 citations indexed

About

Junya Kuroyanagi is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Junya Kuroyanagi has authored 22 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cell Biology, 9 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Junya Kuroyanagi's work include Zebrafish Biomedical Research Applications (14 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Junya Kuroyanagi is often cited by papers focused on Zebrafish Biomedical Research Applications (14 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Junya Kuroyanagi collaborates with scholars based in Japan and China. Junya Kuroyanagi's co-authors include Yasuhito Shimada, Toshio Tanaka, Yuhei Nishimura, Noriko Umemoto, Liqing Zang, Norihiro Nishimura, Takehiko Oka, Minoru Hirano, Zhipeng Wang and Beibei Zhang and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Junya Kuroyanagi

22 papers receiving 968 citations

Peers

Junya Kuroyanagi
Yumiko Kawai United States
Martin‐Paul Agbaga United States
Youngah Jo United States
Md Nawajes A. Mandal United States
Marion B. Sewer United States
Chandramohan Chitraju United States
Chi–Liang Eric Yen United States
Carmen E. Perrone United States
Yung-Jin Kim South Korea
Yumiko Kawai United States
Junya Kuroyanagi
Citations per year, relative to Junya Kuroyanagi Junya Kuroyanagi (= 1×) peers Yumiko Kawai

Countries citing papers authored by Junya Kuroyanagi

Since Specialization
Citations

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

Fields of papers citing papers by Junya Kuroyanagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Kuroyanagi

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

All Works

20 of 20 papers shown
1.
Zang, Liqing, Yasuhito Shimada, Hiroko Nakayama, et al.. (2021). Preventive Effects of Green Tea Extract against Obesity Development in Zebrafish. Molecules. 26(9). 2627–2627. 11 indexed citations
2.
Zang, Liqing, Yasuhito Shimada, Hiroko Nakayama, et al.. (2021). Globin Digest Improves Visceral Adiposity Through UCP1 Upregulation in Diet-Induced Obese Zebrafish and Mice. Frontiers in Nutrition. 8. 650975–650975. 3 indexed citations
3.
Zang, Liqing, Yasuhito Shimada, Hiroko Nakayama, et al.. (2019). RNA-seq Based Transcriptome Analysis of the Anti-Obesity Effect of Green Tea Extract Using Zebrafish Obesity Models. Molecules. 24(18). 3256–3256. 31 indexed citations
4.
Zhang, Beibei, et al.. (2015). Novel immunologic tolerance of human cancer cell xenotransplants in zebrafish. Translational research. 170. 89–98.e3. 19 indexed citations
5.
Zhang, Beibei, Yasuhito Shimada, Junya Kuroyanagi, et al.. (2015). In vivo selective imaging and inhibition of leukemia stem-like cells using the fluorescent carbocyanine derivative, DiOC5(3). Biomaterials. 52. 14–25. 8 indexed citations
6.
Kuroyanagi, Junya, Yasuhito Shimada, Beibei Zhang, et al.. (2014). Zinc finger MYND‐type containing 8 promotes tumour angiogenesis via induction of vascular endothelial growth factor‐A expression. FEBS Letters. 588(18). 3409–3416. 19 indexed citations
7.
Zhang, Beibei, Yasuhito Shimada, Junya Kuroyanagi, et al.. (2014). Quantitative Phenotyping-Based In Vivo Chemical Screening in a Zebrafish Model of Leukemia Stem Cell Xenotransplantation. PLoS ONE. 9(1). e85439–e85439. 51 indexed citations
8.
Umemoto, Noriko, Yasuhito Shimada, Yuhei Nishimura, et al.. (2014). Downregulation of Stanniocalcin 1 Is Responsible for Sorafenib-Induced Cardiotoxicity. Toxicological Sciences. 143(2). 374–384. 25 indexed citations
9.
Hiramitsu, Masanori, Yasuhito Shimada, Junya Kuroyanagi, et al.. (2014). Eriocitrin ameliorates diet-induced hepatic steatosis with activation of mitochondrial biogenesis. Scientific Reports. 4(1). 3708–3708. 97 indexed citations
10.
Zhang, Beibei, Yasuhito Shimada, Junya Kuroyanagi, et al.. (2014). Zebrafish xenotransplantation model for cancer stem-like cell study and high-throughput screening of inhibitors. Tumor Biology. 35(12). 11861–11869. 33 indexed citations
11.
Shimada, Yasuhito, et al.. (2013). Downregulation of Max dimerization protein 3 is involved in decreased visceral adipose tissue by inhibiting adipocyte differentiation in zebrafish and mice. International Journal of Obesity. 38(8). 1053–1060. 14 indexed citations
12.
Umemoto, Noriko, Yuhei Nishimura, Yasuhito Shimada, et al.. (2013). Fluorescent-Based Methods for Gene Knockdown and Functional Cardiac Imaging in Zebrafish. Molecular Biotechnology. 55(2). 131–142. 13 indexed citations
13.
Nishimura, Yuhei, Kenichiro Yata, Kohei Watanabe, et al.. (2013). Identification of a Novel Indoline Derivative for in Vivo Fluorescent Imaging of Blood-Brain Barrier Disruption in Animal Models. ACS Chemical Neuroscience. 4(8). 1183–1193. 25 indexed citations
14.
Watanabe, Kohei, Yuhei Nishimura, Noriko Umemoto, et al.. (2012). In vivoassessment of the permeability of the blood-brain barrier and blood-retinal barrier to fluorescent indoline derivatives in zebrafish. BMC Neuroscience. 13(1). 101–101. 39 indexed citations
15.
Shimada, Yasuhito, Junya Kuroyanagi, Yuhei Nishimura, et al.. (2012). Green tea extract suppresses adiposity and affects the expression of lipid metabolism genes in diet-induced obese zebrafish. Nutrition & Metabolism. 9(1). 73–73. 74 indexed citations
16.
Shimada, Yasuhito, Junya Kuroyanagi, Liqing Zang, et al.. (2011). Transcriptome analysis of anti-fatty liver action by Campari tomato using a zebrafish diet-induced obesity model. Nutrition & Metabolism. 8(1). 88–88. 62 indexed citations
17.
Watanabe, Kohei, Yuhei Nishimura, Takehiko Oka, et al.. (2010). In vivo imaging of zebrafish retinal cells using fluorescent coumarin derivatives. BMC Neuroscience. 11(1). 116–116. 36 indexed citations
18.
Oka, Takehiko, Yuhei Nishimura, Liqing Zang, et al.. (2010). Diet-induced obesity in zebrafish shares common pathophysiological pathways with mammalian obesity. BMC Physiology. 10(1). 21–21. 310 indexed citations
19.
Wang, Zhipeng, Yuhei Nishimura, Yasuhito Shimada, et al.. (2009). Zebrafish β-adrenergic receptor mRNA expression and control of pigmentation. Gene. 446(1). 18–27. 66 indexed citations
20.
Tanaka, Toshio, Takehiko Oka, Yasuhito Shimada, et al.. (2008). Pharmacogenomics of Cardiovascular Pharmacology: Pharmacogenomic Network of Cardiovascular Disease Models. Journal of Pharmacological Sciences. 107(1). 8–14. 19 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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