Yoshihiro Sakoda

8.3k total citations
249 papers, 5.0k citations indexed

About

Yoshihiro Sakoda is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Yoshihiro Sakoda has authored 249 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Epidemiology, 150 papers in Agronomy and Crop Science and 98 papers in Infectious Diseases. Recurrent topics in Yoshihiro Sakoda's work include Influenza Virus Research Studies (150 papers), Animal Disease Management and Epidemiology (150 papers) and Respiratory viral infections research (68 papers). Yoshihiro Sakoda is often cited by papers focused on Influenza Virus Research Studies (150 papers), Animal Disease Management and Epidemiology (150 papers) and Respiratory viral infections research (68 papers). Yoshihiro Sakoda collaborates with scholars based in Japan, Vietnam and Thailand. Yoshihiro Sakoda's co-authors include Hiroshi Kida, Masatoshi Okamatsu, Norikazu Isoda, Nicolas Ruggli, Keita Matsuno, Takahiro Hiono, Artur Summerfield, Kosuke Soda, Akio Fukusho and Takashi Umemura and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Virology.

In The Last Decade

Yoshihiro Sakoda

239 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshihiro Sakoda Japan 37 2.8k 2.7k 2.0k 833 786 249 5.0k
Zhigao Bu China 45 3.8k 1.4× 3.6k 1.3× 3.2k 1.6× 1.4k 1.7× 970 1.2× 216 7.6k
Taisuke Horimoto Japan 36 4.8k 1.7× 1.7k 0.6× 2.3k 1.1× 202 0.2× 319 0.4× 169 6.2k
John W. McCauley United Kingdom 48 4.6k 1.6× 2.1k 0.8× 2.2k 1.1× 445 0.5× 648 0.8× 139 7.0k
Mikael Berg Sweden 32 1.5k 0.5× 738 0.3× 1.5k 0.7× 387 0.5× 400 0.5× 151 3.4k
Michaela Orlich Germany 30 1.9k 0.7× 1.7k 0.6× 1.1k 0.6× 892 1.1× 840 1.1× 42 3.7k
Changchun Tu China 33 506 0.2× 930 0.4× 1.6k 0.8× 659 0.8× 719 0.9× 167 3.4k
Bryan Charleston United Kingdom 38 521 0.2× 2.6k 1.0× 1.1k 0.5× 1.8k 2.1× 1.6k 2.1× 146 4.3k
Mary J. Pantin‐Jackwood United States 44 4.2k 1.5× 2.5k 0.9× 3.2k 1.6× 136 0.2× 504 0.6× 168 5.9k
Sylvia van Drunen Littel‐van den Hurk Canada 42 3.1k 1.1× 809 0.3× 1.1k 0.5× 656 0.8× 155 0.2× 187 5.9k
Guus Koch Netherlands 34 3.3k 1.2× 2.0k 0.7× 1.7k 0.8× 328 0.4× 144 0.2× 60 4.2k

Countries citing papers authored by Yoshihiro Sakoda

Since Specialization
Citations

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

Fields of papers citing papers by Yoshihiro Sakoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshihiro Sakoda

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiro Sakoda. A scholar is included among the top collaborators of Yoshihiro Sakoda 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 Yoshihiro Sakoda. Yoshihiro Sakoda 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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Tuvshintulga, Bumduuren, et al.. (2024). Genome sequencing of canine distemper virus isolates from unvaccinated dogs in Mongolia. The Veterinary Journal. 308. 106231–106231. 1 indexed citations
5.
Hiono, Takahiro, et al.. (2024). Assessment of the Safety Profile of Chimeric Marker Vaccine against Classical Swine Fever: Reversion to Virulence Study. Viruses. 16(7). 1120–1120. 1 indexed citations
6.
Park, Youngmin, Takahiro Hiono, Norikazu Isoda, et al.. (2024). Development of a dual immunochromatographic test strip to detect E2 and Erns antibodies against classical swine fever. Frontiers in Microbiology. 15. 1383976–1383976. 2 indexed citations
7.
Fujii, Yuji, Tatsunori Masatani, Shoko Nishiyama, et al.. (2024). Molecular characterization of an avian rotavirus a strain detected from a large-billed crow (Corvus macrorhynchos) in Japan. Virology. 596. 110114–110114. 2 indexed citations
8.
Hiono, Takahiro, Isabella Monne, S Okamura, et al.. (2024). Cocirculation of Genetically Distinct Highly Pathogenic Avian Influenza H5N5 and H5N1 Viruses in Crows, Hokkaido, Japan. Emerging infectious diseases. 30(9). 1912–1917. 1 indexed citations
9.
Tanaka, Eiji, Ryota Matsuyama, Norikazu Isoda, et al.. (2023). Exploring Appropriate Strategies for Vaccination against Classical Swine Fever under a Dynamic Change in Antibody Titer in Sows after Starting Vaccination in a Japanese Farm Setting. Transboundary and Emerging Diseases. 2023. 1–15. 1 indexed citations
10.
Saasa, Ngonda, Masahiro Kajihara, Naganori Nao, et al.. (2023). Surveillance and Phylogenetic Characterisation of Avian Influenza Viruses Isolated from Wild Waterfowl in Zambia in 2015, 2020, and 2021. Transboundary and Emerging Diseases. 2023. 1–16. 4 indexed citations
11.
Taniguchi, K., Masanori Kobayashi, Shinsuke Toba, et al.. (2022). Characterization of the In Vitro and In Vivo Efficacy of Baloxavir Marboxil against H5 Highly Pathogenic Avian Influenza Virus Infection. Viruses. 14(1). 111–111. 15 indexed citations
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Zhu, Xueyong, Ilhan Tomris, Alvin X. Han, et al.. (2022). N -Glycolylneuraminic Acid Binding of Avian and Equine H7 Influenza A Viruses. Journal of Virology. 96(5). e0212021–e0212021. 13 indexed citations
13.
Isoda, Norikazu, et al.. (2022). Antiviral Effects of 5-Aminolevulinic Acid Phosphate against Classical Swine Fever Virus: In Vitro and In Vivo Evaluation. Pathogens. 11(2). 164–164. 2 indexed citations
14.
Fujii, Yuji, Tatsunori Masatani, Shoko Nishiyama, et al.. (2022). Molecular characterisation of a novel avian rotavirus A strain detected from a gull species (Larus sp.). Journal of General Virology. 103(10). 5 indexed citations
15.
Nguyen, Lam Thanh, Simon M. Firestone, Mark A. Stevenson, et al.. (2019). A systematic study towards evolutionary and epidemiological dynamics of currently predominant H5 highly pathogenic avian influenza viruses in Vietnam. Scientific Reports. 9(1). 7723–7723. 15 indexed citations
16.
Kozasa, Takashi, Shiho Torii, Ken‐ichiro Kameyama, et al.. (2018). Prevalence of HoBi-like viruses in Japan between 2012 and 2017 based on virological methods and serology. Jūigaku kenkyū/Japanese journal of veterinary research. 66(4). 317–324. 1 indexed citations
17.
Okamatsu, Masatoshi, et al.. (2018). Potency of an inactivated influenza vaccine prepared from A/duck/Mongolia/245/2015 (H10N3) against H10 influenza virus infection in a mouse model. Jūigaku kenkyū/Japanese journal of veterinary research. 66(1). 29–41. 1 indexed citations
18.
Takaki, Haruyuki, Shigeo Kure, Hiroyuki Oshiumi, et al.. (2017). Toll-like receptor 3 in nasal CD103+ dendritic cells is involved in immunoglobulin A production. Mucosal Immunology. 11(1). 82–96. 35 indexed citations
19.
Okamatsu, Masatoshi, Keita Matsuno, Takahiro Hiono, et al.. (2016). Genetic and antigenic characterization of H5, H6 and H9 avian influenza viruses circulating in live bird markets with intervention in the center part of Vietnam. Veterinary Microbiology. 192. 194–203. 39 indexed citations
20.
Blacksell, Stuart D., et al.. (2007). Scrub Typhus Serologic Testing with the Indirect Immunofluorescence Method as a Diagnostic Gold Standard: A Lack of Consensus Leads to a Lot of Confusion. Clinical Infectious Diseases. 44(3). 391–401. 164 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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