Shin‐nosuke Takeshima

3.5k total citations
91 papers, 2.6k citations indexed

About

Shin‐nosuke Takeshima is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shin‐nosuke Takeshima has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Immunology, 65 papers in Agronomy and Crop Science and 47 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shin‐nosuke Takeshima's work include Animal Disease Management and Epidemiology (59 papers), T-cell and Retrovirus Studies (52 papers) and Vector-Borne Animal Diseases (47 papers). Shin‐nosuke Takeshima is often cited by papers focused on Animal Disease Management and Epidemiology (59 papers), T-cell and Retrovirus Studies (52 papers) and Vector-Borne Animal Diseases (47 papers). Shin‐nosuke Takeshima collaborates with scholars based in Japan, Argentina and United States. Shin‐nosuke Takeshima's co-authors include Yoko Aida, Meripet Polat, Yuki Matsumoto, Hironobu Murakami, Misao Onuma, Ayumu Ohno, T. Miyasaka, Masahiko Takahashi, Guillermo Giovambattista and Hiroshi Sentsui and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Shin‐nosuke Takeshima

88 papers receiving 2.5k citations

Peers

Shin‐nosuke Takeshima
Pierre Kerkhofs Belgium
M. Reichert Poland
Nicolas Ruggli Switzerland
David M. Haig United Kingdom
N D MacHugh Kenya
I. Greiser‐Wilke Germany
Karina Trono Argentina
Jan Naessens Kenya
Keith T. Ballingall United Kingdom
Tsuneo Uchiyama Japan
Pierre Kerkhofs Belgium
Shin‐nosuke Takeshima
Citations per year, relative to Shin‐nosuke Takeshima Shin‐nosuke Takeshima (= 1×) peers Pierre Kerkhofs

Countries citing papers authored by Shin‐nosuke Takeshima

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐nosuke Takeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐nosuke Takeshima. 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 Shin‐nosuke Takeshima. The network helps show where Shin‐nosuke Takeshima may publish in the future.

Co-authorship network of co-authors of Shin‐nosuke Takeshima

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐nosuke Takeshima. A scholar is included among the top collaborators of Shin‐nosuke Takeshima 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 Shin‐nosuke Takeshima. Shin‐nosuke Takeshima 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
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Borjigin, Liushiqi, Hirotaka Sato, Lanlan Bai, et al.. (2022). BoLA-DRB3 Polymorphism Controls Proviral Load and Infectivity of Bovine Leukemia Virus (BLV) in Milk. Pathogens. 11(2). 210–210. 18 indexed citations
3.
Borjigin, Liushiqi, Susumu Saito, Meripet Polat, et al.. (2021). A novel real time PCR assay for bovine leukemia virus detection using mixed probes and degenerate primers targeting novel BLV strains. Journal of Virological Methods. 297. 114264–114264. 6 indexed citations
4.
Giovambattista, Guillermo, Kyaw Kyaw Moe, Meripet Polat, et al.. (2020). Characterization of bovine MHC DRB3 diversity in global cattle breeds, with a focus on cattle in Myanmar. BMC Genetics. 21(1). 95–95. 17 indexed citations
5.
Murakami, Hironobu, Jumpei Uchiyama, Chihiro Suzuki, et al.. (2018). Variations in the viral genome and biological properties of bovine leukemia virus wild-type strains. Virus Research. 253. 103–111. 23 indexed citations
6.
Polat, Meripet, Shin‐nosuke Takeshima, & Yoko Aida. (2017). Epidemiology and genetic diversity of bovine leukemia virus. Virology Journal. 14(1). 209–209. 137 indexed citations
7.
Takeshima, Shin‐nosuke, Shinji Sasaki, Meripet Polat, Yoshikazu Sugimoto, & Yoko Aida. (2017). Single nucleotide polymorphisms in the bovine MHC region of Japanese Black cattle are associated with bovine leukemia virus proviral load. Retrovirology. 14(1). 24–24. 21 indexed citations
8.
Polat, Meripet, Hla Hla Moe, Takeshi Shimogiri, et al.. (2016). The molecular epidemiological study of bovine leukemia virus infection in Myanmar cattle. Archives of Virology. 162(2). 425–437. 50 indexed citations
9.
Bai, Lanlan, Shin‐nosuke Takeshima, Emiko Isogai, & Yoko Aida. (2015). Peptide microarray mapping of B cell epitopes on bovine leukemia virus and peptide ELISA analysis of conservation of epitopes in BLV infected Japanese cattle. Retrovirology. 12(S1). 1 indexed citations
10.
Hagiwara, Kyoji, Hideki Ishii, Tomoyuki Murakami, et al.. (2015). Synthesis of a Vpr-Binding Derivative for Use as a Novel HIV-1 Inhibitor. PLoS ONE. 10(12). e0145573–e0145573. 5 indexed citations
11.
Yuan, Yuan, Susumu Saito, Hiroshi Ishizaki, et al.. (2015). Detection of the BLV provirus from nasal secretion and saliva samples using BLV-CoCoMo-qPCR-2: Comparison with blood samples from the same cattle. Virus Research. 210. 248–254. 47 indexed citations
12.
Pan, He, Shin‐nosuke Takeshima, Seiichi Tada, et al.. (2014). pH-sensitive carbonate apatite nanoparticles as DNA vaccine carriers enhance humoral and cellular immunity. Vaccine. 32(47). 6199–6205. 9 indexed citations
13.
Polat, Meripet, Ayumu Ohno, Shin‐nosuke Takeshima, et al.. (2014). Detection and molecular characterization of bovine leukemia virus in Philippine cattle. Archives of Virology. 160(1). 285–296. 60 indexed citations
14.
Giovambattista, Guillermo, Shin‐nosuke Takeshima, Marìa Verònica Ripoli, et al.. (2013). Characterization of bovine MHC DRB3 diversity in Latin American Creole cattle breeds. Gene. 519(1). 150–158. 36 indexed citations
15.
Tada, Seiichi, et al.. (2011). Induction of antigen-specific immunity by pH-sensitive carbonate apatite as a potent vaccine carrier. Biochemical and Biophysical Research Communications. 415(4). 597–601. 6 indexed citations
16.
MUKOYAMA, Harutaka, et al.. (2009). Association of BoLA‐DRB3 alleles identified by a sequence‐based typing method with mastitis pathogens in Japanese Holstein cows. Animal Science Journal. 80(5). 498–509. 23 indexed citations
17.
Takeshima, Shin‐nosuke, et al.. (2009). MHC class II DR classification based on antigen-binding groove natural selection. Biochemical and Biophysical Research Communications. 385(2). 137–142. 21 indexed citations
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Ando, Asako, Hisako Kawata, Atsuko Shigenari, et al.. (2003). Genetic polymorphism of the swine major histocompatibility complex (SLA) class�I genes, SLA-1, -2 and -3. Immunogenetics. 55(9). 583–593. 47 indexed citations
20.
Takeshima, Shin‐nosuke, Yoichi Nakai, Masato Ohta, & Yoko Aida. (2002). Short Communication: Characterization of DRB3 Alleles in the MHC of Japanese Shorthorn Cattle by Polymerase Chain Reaction-Sequence-Based Typing. Journal of Dairy Science. 85(6). 1630–1632. 60 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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