Kosuke Zenke

601 total citations
33 papers, 486 citations indexed

About

Kosuke Zenke is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Kosuke Zenke has authored 33 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 11 papers in Cancer Research and 10 papers in Molecular Biology. Recurrent topics in Kosuke Zenke's work include Aquaculture disease management and microbiota (18 papers), interferon and immune responses (8 papers) and Invertebrate Immune Response Mechanisms (5 papers). Kosuke Zenke is often cited by papers focused on Aquaculture disease management and microbiota (18 papers), interferon and immune responses (8 papers) and Invertebrate Immune Response Mechanisms (5 papers). Kosuke Zenke collaborates with scholars based in Japan, South Korea and Taiwan. Kosuke Zenke's co-authors include Ki Hong Kim, Yoon Kwon Nam, Tomoyoshi Yoshinaga, Sung Koo Kim, Chun Soo Kim, Masashi Muroi, Ken‐ichi Tanamoto, Naoki Itoh, Yasushi Okinaka and SK Kim and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Applied Microbiology and Biotechnology.

In The Last Decade

Kosuke Zenke

32 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kosuke Zenke Japan 13 392 153 96 63 58 33 486
Reiko Nozaki Japan 15 537 1.4× 148 1.0× 82 0.9× 30 0.5× 68 1.2× 50 714
Xinhua Liu China 12 182 0.5× 157 1.0× 81 0.8× 63 1.0× 14 0.2× 38 422
T.A. Jose Priya India 9 442 1.1× 99 0.6× 94 1.0× 17 0.3× 75 1.3× 17 530
Guobin Hu China 17 516 1.3× 84 0.5× 73 0.8× 82 1.3× 10 0.2× 52 672
Chongming Wang China 14 309 0.8× 143 0.9× 96 1.0× 47 0.7× 8 0.1× 45 545
Aina‐Cathrine Øvergård Norway 15 433 1.1× 100 0.7× 161 1.7× 41 0.7× 11 0.2× 30 553
Mo-fei Li China 17 509 1.3× 124 0.8× 45 0.5× 40 0.6× 8 0.1× 32 643
Audny Johansen Norway 14 660 1.7× 141 0.9× 37 0.4× 34 0.5× 19 0.3× 15 764
Milena M. Monte United Kingdom 14 486 1.2× 62 0.4× 40 0.4× 40 0.6× 12 0.2× 18 554
Zhiqiang Du China 15 381 1.0× 97 0.6× 45 0.5× 32 0.5× 91 1.6× 33 481

Countries citing papers authored by Kosuke Zenke

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Zenke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Zenke

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Zenke. A scholar is included among the top collaborators of Kosuke Zenke 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 Kosuke Zenke. Kosuke Zenke 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.
Zenke, Kosuke, et al.. (2024). NF-κB p105-mediated nuclear translocation of ERK is required for full activation of IFNγ-induced iNOS expression. Cellular Signalling. 124. 111424–111424. 2 indexed citations
2.
Zenke, Kosuke & Yasushi Okinaka. (2022). Multiple isoforms of HSP70 and HSP90 required for betanodavirus multiplication in medaka cells. Archives of Virology. 167(10). 1961–1975. 8 indexed citations
3.
Watanabe, Sachiko, et al.. (2022). Minimal structure of IRAK-1 to induce degradation of TRAF6. Immunobiology. 227(5). 152256–152256. 4 indexed citations
4.
Zenke, Kosuke & Yasushi Okinaka. (2022). Establishing an effective gene knockdown system using cultured cells of the model fish medaka (Oryzias latipes). Biology Methods and Protocols. 7(1). bpac011–bpac011. 1 indexed citations
5.
6.
Zenke, Kosuke, et al.. (2020). Stable and quantitative small-scale laboratory propagation of Cryptocaryon irritans. MethodsX. 7. 101000–101000. 11 indexed citations
7.
Taik, Patricia, Katherine E. Guzzetta, Yen-Ling Song, et al.. (2017). High genetic diversities between isolates of the fish parasite Cryptocaryon irritans (Ciliophora) suggest multiple cryptic species. Molecular Phylogenetics and Evolution. 112. 47–52. 16 indexed citations
8.
Zenke, Kosuke, Masashi Muroi, & Ken‐ichi Tanamoto. (2017). AKT1 distinctively suppresses MyD88-depenedent and TRIF-dependent Toll-like receptor signaling in a kinase activity-independent manner. Cellular Signalling. 43. 32–39. 17 indexed citations
9.
Shin, Sang Phil, Kosuke Zenke, & Hiroshi Yokoyama. (2015). Characterization of proteases isolated from Kudoa septempunctata. 55(3). 175–179. 1 indexed citations
10.
Shin, Sang Phil, Kosuke Zenke, Hiroshi Yokoyama, & Tomoyoshi Yoshinaga. (2015). Factors affecting sporoplasm release in Kudoa septempunctata. Parasitology Research. 114(2). 795–799. 6 indexed citations
11.
Zenke, Kosuke, et al.. (2014). Dynamics and distribution properties of theronts of the parasitic ciliate Cryptocaryon irritans. Aquaculture. 438. 170–175. 15 indexed citations
12.
Adachi, Kei, et al.. (2010). Susceptibilities of medaka (Oryzias latipes) cell lines to a betanodavirus. Virology Journal. 7(1). 150–150. 11 indexed citations
13.
Zenke, Kosuke & Ki-Hong Kim. (2010). Long Double-stranded RNA Induces Sequence-specific RNA Interference and Type I Interferon Responses in Rock Bream (Oplegnathus fasciatus). Fisheries and aquatic sciences. 13(1). 56–62. 1 indexed citations
14.
Zenke, Kosuke, Yoon Kwon Nam, & Ki Hong Kim. (2009). Development of siRNA expression vector utilizing rock bream β-actin promoter: a potential therapeutic tool against viral infection in fish. Applied Microbiology and Biotechnology. 85(3). 679–690. 12 indexed citations
15.
Zenke, Kosuke, Yoon Kwon Nam, & Ki Hong Kim. (2009). Molecular cloning and expression analysis of double-stranded RNA-dependent protein kinase (PKR) in rock bream (Oplegnathus fasciatus). Veterinary Immunology and Immunopathology. 133(2-4). 290–295. 22 indexed citations
16.
Lee, David J., et al.. (2008). Generation of safety enhancedEdwardsiella tardaghost vaccine. Diseases of Aquatic Organisms. 81(3). 249–254. 31 indexed citations
17.
Zenke, Kosuke & Ki Hong Kim. (2008). Molecular cloning and expression analysis of three Mx isoforms of rock bream, Oplegnathus fasciatus. Fish & Shellfish Immunology. 26(4). 599–605. 24 indexed citations
18.
Zenke, Kosuke & Ki Hong Kim. (2008). Novel fugu U6 promoter driven shRNA expression vector for efficient vector based RNAi in fish cell lines. Biochemical and Biophysical Research Communications. 371(3). 480–483. 18 indexed citations
19.
Zenke, Kosuke & Ki Hong Kim. (2008). Functional characterization of the RNase III gene of rock bream iridovirus. Archives of Virology. 153(9). 1651–1656. 24 indexed citations
20.
Kim, Chun Soo, Kosuke Zenke, Yoon Kwon Nam, Sung Koo Kim, & Ki Hong Kim. (2006). Protection of shrimp (Penaeus chinensis) against white spot syndrome virus (WSSV) challenge by double-stranded RNA. Fish & Shellfish Immunology. 23(1). 242–246. 109 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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