Shusuke Kuge

4.3k total citations
64 papers, 3.5k citations indexed

About

Shusuke Kuge is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shusuke Kuge has authored 64 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shusuke Kuge's work include Viral Infections and Immunology Research (17 papers), Fungal and yeast genetics research (15 papers) and Heat shock proteins research (12 papers). Shusuke Kuge is often cited by papers focused on Viral Infections and Immunology Research (17 papers), Fungal and yeast genetics research (15 papers) and Heat shock proteins research (12 papers). Shusuke Kuge collaborates with scholars based in Japan, United Kingdom and United States. Shusuke Kuge's co-authors include Akio Nomoto, Nic Jones, Akira Naganuma, Shoko Okazaki, Asako Murayama, Michinori Kohara, Takashi Toda, Brian A. Morgan, Michael L. Samuels and W. Mark Toone and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Shusuke Kuge

62 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shusuke Kuge Japan 28 2.4k 872 650 591 358 64 3.5k
Peng Gong China 29 1.5k 0.6× 597 0.7× 765 1.2× 297 0.5× 324 0.9× 81 3.0k
M.M. Cherney Canada 31 1.9k 0.8× 279 0.3× 783 1.2× 174 0.3× 374 1.0× 75 3.4k
Marie-Pierre Egloff France 16 1.5k 0.6× 204 0.2× 1.0k 1.6× 194 0.3× 136 0.4× 20 3.2k
Jim‐Tong Horng Taiwan 27 941 0.4× 566 0.6× 382 0.6× 176 0.3× 437 1.2× 69 2.1k
K.P. Battaile United States 34 2.1k 0.9× 193 0.2× 739 1.1× 121 0.2× 182 0.5× 131 3.6k
Erguang Li China 36 2.0k 0.8× 199 0.2× 270 0.4× 201 0.3× 526 1.5× 87 3.9k
Yi Ding China 28 1.9k 0.8× 87 0.1× 746 1.1× 306 0.5× 146 0.4× 99 3.4k
Kevin D. Raney United States 37 2.4k 1.0× 166 0.2× 253 0.4× 557 0.9× 497 1.4× 98 3.5k
Kyung‐Soo Inn South Korea 29 1.6k 0.7× 113 0.1× 724 1.1× 121 0.2× 1.4k 4.0× 66 4.1k
María Eugenia González Spain 22 647 0.3× 145 0.2× 352 0.5× 260 0.4× 238 0.7× 41 1.7k

Countries citing papers authored by Shusuke Kuge

Since Specialization
Citations

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

Fields of papers citing papers by Shusuke Kuge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shusuke Kuge

This figure shows the co-authorship network connecting the top 25 collaborators of Shusuke Kuge. A scholar is included among the top collaborators of Shusuke Kuge 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 Shusuke Kuge. Shusuke Kuge 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.
Kiso, Maki, Seiya Yamayoshi, Yoshiki Yamaguchi, et al.. (2025). G-quadruplex-forming small RNA inhibits coronavirus and influenza A virus replication. Communications Biology. 8(1). 27–27.
3.
Sato, Yusuke, et al.. (2023). Inhibition of SARS-CoV-2 nucleocapsid protein–RNA interaction by guanosine oligomeric RNA. The Journal of Biochemistry. 173(6). 447–457. 6 indexed citations
4.
Kim, Min‐Seok, Tsutomu Takahashi, Jin‐Yong Lee, et al.. (2019). Methylmercury induces the expression of chemokine CCL4 via SRF activation in C17.2 mouse neural stem cells. Scientific Reports. 9(1). 4631–4631. 5 indexed citations
5.
Itō, Yūichi, et al.. (2017). Akr1 attenuates methylmercury toxicity through the palmitoylation of Meh1 as a subunit of the yeast EGO complex. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(7). 1729–1736. 3 indexed citations
7.
Tachibana, Tsuyoshi, Toshihiko Watanabe, Hozumi Motohashi, et al.. (2016). Redox-dependent Regulation of Gluconeogenesis by a Novel Mechanism Mediated by a Peroxidatic Cysteine of Peroxiredoxin. Scientific Reports. 6(1). 33536–33536. 17 indexed citations
8.
Hwang, Gi‐Wook, et al.. (2016). Whi2 enhances methylmercury toxicity in yeast via inhibition of Akr1 palmitoyltransferase activity. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(6). 1326–1333. 2 indexed citations
9.
Lee, Jin‐Yong, Yosuke Ishida, Shusuke Kuge, Akira Naganuma, & Gi‐Wook Hwang. (2015). Identification of substrates of F‐box protein involved in methylmercury toxicity in yeast cells. FEBS Letters. 589(19PartB). 2720–2725. 7 indexed citations
10.
Kubota, Naoko, Takashi Fukuda, Hiroshi Tomoda, et al.. (2012). HSC90 is required for nascent hepatitis C virus core protein stability in yeast cells. FEBS Letters. 586(16). 2318–2325. 8 indexed citations
11.
Naganuma, Akira, et al.. (2010). Peroxiredoxin Ahp1 Acts as a Receptor for Alkylhydroperoxides to Induce Disulfide Bond Formation in the Cad1 Transcription Factor. Journal of Biological Chemistry. 285(14). 10597–10604. 34 indexed citations
12.
Okazaki, Shoko, Tsuyoshi Tachibana, Akira Naganuma, Nariyasu Mano, & Shusuke Kuge. (2007). Multistep Disulfide Bond Formation in Yap1 Is Required for Sensing and Transduction of H2O2 Stress Signal. Molecular Cell. 27(4). 675–688. 91 indexed citations
13.
Nakagawa, Shinichiro, et al.. (2006). Hsp90 inhibitors suppress HCV replication in replicon cells and humanized liver mice. Biochemical and Biophysical Research Communications. 353(4). 882–888. 94 indexed citations
14.
Isoyama, Takeshi, Shusuke Kuge, & Akio Nomoto. (2002). The Core Protein of Hepatitis C Virus Is Imported into the Nucleus by Transport Receptor Kap123p but Inhibits Kap121p-dependent Nuclear Import of Yeast AP1-like Transcription Factor in Yeast Cells. Journal of Biological Chemistry. 277(42). 39634–39641. 22 indexed citations
15.
Furuchi, Takemitsu, et al.. (2001). Two Nuclear Proteins, Cin5 and Ydr259c, Confer Resistance to Cisplatin in Saccharomyces cerevisiae. Molecular Pharmacology. 59(3). 470–474. 1 indexed citations
16.
Miura, Nobuhiko, Satoshi Kaneko, Takemitsu Furuchi, et al.. (1999). Overexpression of L‐glutamine:D‐fructose‐6‐phosphate amidotransferase provides resistance to methylmercury in Saccharomyces cerevisiae. FEBS Letters. 458(2). 215–218. 28 indexed citations
17.
Toone, W. Mark, Shusuke Kuge, Michael L. Samuels, et al.. (1998). Regulation of the fission yeast transcription factor Pap1 by oxidative stress: requirement for the nuclear export factor Crm1 (Exportin) and the stress-activated MAP kinase Sty1/Spc1. Genes & Development. 12(10). 1453–1463. 269 indexed citations
18.
Kuge, Shusuke, Takashi Toda, Narushi Iizuka, & Akio Nomoto. (1998). Crm1 (XpoI) dependent nuclear export of the budding yeast transcription factor yAP‐1 is sensitive to oxidative stress. Genes to Cells. 3(8). 521–532. 139 indexed citations
19.
Kuge, Shusuke. (1997). Regulation of yAP-1 nuclear localization in response to oxidative stress. The EMBO Journal. 16(7). 1710–1720. 364 indexed citations
20.
Kuge, Shusuke, et al.. (1989). Strong inclination toward transition mutation in nucleotide substitutions by poliovirus replicase. Journal of Molecular Biology. 207(1). 175–182. 31 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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