Kentaro Yuge

570 total citations
8 papers, 477 citations indexed

About

Kentaro Yuge is a scholar working on Surgery, Hepatology and Molecular Biology. According to data from OpenAlex, Kentaro Yuge has authored 8 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Hepatology and 3 papers in Molecular Biology. Recurrent topics in Kentaro Yuge's work include Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Kentaro Yuge is often cited by papers focused on Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Cardiac Fibrosis and Remodeling (3 papers). Kentaro Yuge collaborates with scholars based in Japan, Armenia and Norway. Kentaro Yuge's co-authors include Tomoyuki Takahashi, Hisayoshi Fujiwara, Takako Fujiwara, Ken-ichiro Kosai, Genzou Takemura, Shinya Minatoguchi, Rumi Maruyama, Masayasu Esaki, Hideshi Okada and Satoshi Nagano and has published in prestigious journals such as Circulation, Circulation Research and Journal of Hepatology.

In The Last Decade

Kentaro Yuge

8 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kentaro Yuge Japan 8 234 225 152 74 59 8 477
Zhen-lei Hu China 10 331 1.4× 77 0.3× 245 1.6× 194 2.6× 35 0.6× 12 594
Masaru Tsukamoto Japan 11 85 0.4× 221 1.0× 202 1.3× 42 0.6× 81 1.4× 49 517
Noritaka Koga Japan 9 85 0.4× 67 0.3× 95 0.6× 35 0.5× 54 0.9× 10 353
Troels Glysing-Jensen United States 15 171 0.7× 189 0.8× 393 2.6× 13 0.2× 64 1.1× 21 872
Douglas K. Brees United States 6 261 1.1× 36 0.2× 64 0.4× 32 0.4× 45 0.8× 8 478
Gerben J. van der Bij Netherlands 14 197 0.8× 63 0.3× 259 1.7× 29 0.4× 390 6.6× 19 855
Anna Cieślak Canada 7 177 0.8× 102 0.5× 101 0.7× 9 0.1× 66 1.1× 8 404
Takashi Aurues Japan 14 99 0.4× 47 0.2× 156 1.0× 16 0.2× 47 0.8× 17 372
Carol M. Ford Canada 7 180 0.8× 125 0.6× 69 0.5× 59 0.8× 27 0.5× 9 448
Sina Jamé United States 7 209 0.9× 143 0.6× 148 1.0× 12 0.2× 20 0.3× 14 543

Countries citing papers authored by Kentaro Yuge

Since Specialization
Citations

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

Fields of papers citing papers by Kentaro Yuge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kentaro Yuge

This figure shows the co-authorship network connecting the top 25 collaborators of Kentaro Yuge. A scholar is included among the top collaborators of Kentaro Yuge 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 Kentaro Yuge. Kentaro Yuge 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.
Yuge, Kentaro, Tomoyuki Takahashi, Ngin Cin Khai, et al.. (2014). Intramuscular injection of adenoviral hepatocyte growth factor at a distal site ameliorates dextran sodium sulfate-induced colitis in mice. International Journal of Molecular Medicine. 33(5). 1064–1074. 12 indexed citations
2.
Chen, Xuehai, Shinya Minatoguchi, Ken-ichiro Kosai, et al.. (2007). In Vivo Hepatocyte Growth Factor Gene Transfer Reduces Myocardial Ischemia-Reperfusion Injury Through Its Multiple Actions. Journal of Cardiac Failure. 13(10). 874–883. 38 indexed citations
3.
Khai, Ngin Cin, Tomoyuki Takahashi, Hiroaki Ushikoshi, et al.. (2005). In vivo hepatic HB-EGF gene transduction inhibits Fas-induced liver injury and induces liver regeneration in mice: A comparative study to HGF. Journal of Hepatology. 44(6). 1046–1054. 33 indexed citations
4.
Ushikoshi, Hiroaki, Tomoyuki Takahashi, Xuehai Chen, et al.. (2005). Local overexpression of HB-EGF exacerbates remodeling following myocardial infarction by activating noncardiomyocytes. Laboratory Investigation. 85(7). 862–873. 43 indexed citations
5.
Okada, Hideshi, Genzou Takemura, Ken-ichiro Kosai, et al.. (2005). Postinfarction Gene Therapy Against Transforming Growth Factor-β Signal Modulates Infarct Tissue Dynamics and Attenuates Left Ventricular Remodeling and Heart Failure. Circulation. 111(19). 2430–2437. 156 indexed citations
6.
Yuge, Kentaro, Tomoyuki Takahashi, Satoshi Nagano, et al.. (2005). Adenoviral gene transduction of hepatocyte growth factor elicits inhibitory effects for hepatoma. International Journal of Oncology. 27(1). 77–85. 17 indexed citations
7.
Li, Yiwen, Genzou Takemura, Ken-ichiro Kosai, et al.. (2004). Critical Roles for the Fas/Fas Ligand System in Postinfarction Ventricular Remodeling and Heart Failure. Circulation Research. 95(6). 627–636. 86 indexed citations
8.
Li, Yiwen, Genzou Takemura, Ken-ichiro Kosai, et al.. (2003). Postinfarction Treatment With an Adenoviral Vector Expressing Hepatocyte Growth Factor Relieves Chronic Left Ventricular Remodeling and Dysfunction in Mice. Circulation. 107(19). 2499–2506. 92 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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