Masayoshi Yukawa

1.3k total citations
64 papers, 1.1k citations indexed

About

Masayoshi Yukawa is a scholar working on Parasitology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Masayoshi Yukawa has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Parasitology, 14 papers in Molecular Biology and 13 papers in Infectious Diseases. Recurrent topics in Masayoshi Yukawa's work include Bird parasitology and diseases (14 papers), Vector-borne infectious diseases (14 papers) and Viral Infections and Vectors (9 papers). Masayoshi Yukawa is often cited by papers focused on Bird parasitology and diseases (14 papers), Vector-borne infectious diseases (14 papers) and Viral Infections and Vectors (9 papers). Masayoshi Yukawa collaborates with scholars based in Japan, Vietnam and Albania. Masayoshi Yukawa's co-authors include Yukita Sato, Koichi Murata, Hiroko Ejiri, Takuya Sato, Yoshio Tsuda, Masato KUWABARA, Yuki Hasegawa, Yutaka Horiuchi, Yuko Nakajima and Tadashi Sato and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Masayoshi Yukawa

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayoshi Yukawa Japan 21 468 280 152 127 123 64 1.1k
Francesco Dondi Italy 22 305 0.7× 355 1.3× 175 1.2× 198 1.6× 112 0.9× 120 1.6k
Caroline Ojaimi United States 15 576 1.2× 433 1.5× 195 1.3× 64 0.5× 50 0.4× 27 1.1k
Wolfgang Seewald Switzerland 27 430 0.9× 262 0.9× 99 0.7× 262 2.1× 24 0.2× 84 2.1k
J.E. Fincham South Africa 15 258 0.6× 107 0.4× 143 0.9× 88 0.7× 37 0.3× 51 1000
Anchalee Tungtrongchitr Thailand 20 206 0.4× 152 0.5× 275 1.8× 83 0.7× 33 0.3× 92 1.4k
Mary Anna Thrall United States 17 204 0.4× 145 0.5× 177 1.2× 139 1.1× 15 0.1× 43 1.4k
C. H. Courtney United Kingdom 16 189 0.4× 136 0.5× 173 1.1× 127 1.0× 782 6.4× 29 1.4k
Fumio Hoshi Japan 18 200 0.4× 127 0.5× 124 0.8× 71 0.6× 35 0.3× 79 972
Antônio Tempone Brazil 13 167 0.4× 63 0.2× 113 0.7× 132 1.0× 84 0.7× 27 740
C. A. Gleiser United States 19 228 0.5× 265 0.9× 312 2.1× 140 1.1× 55 0.4× 60 1.7k

Countries citing papers authored by Masayoshi Yukawa

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Yukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Yukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Yukawa. A scholar is included among the top collaborators of Masayoshi Yukawa 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 Masayoshi Yukawa. Masayoshi Yukawa 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.
Sato, Shigeharu, Yukita Sato, Takashi Isobe, et al.. (2013). The apicoplast genome of Leucocytozoon caulleryi, a pathogenic apicomplexan parasite of the chicken. Parasitology Research. 113(3). 823–828. 16 indexed citations
2.
Sato, Yukita, Hiroko Ejiri, Makoto Kawaguchi, et al.. (2012). Molecular Identification of Avian Haemosporidia in Wild Birds and Mosquitoes on Tsushima Island, Japan. Journal of Veterinary Medical Science. 75(3). 319–326. 29 indexed citations
3.
Suzuki, Yuka, Hiroko Ejiri, Yukita Sato, et al.. (2011). Prevalence of avian haematozoa in wild birds in a high-altitude forest in Japan. Veterinary Parasitology. 183(3-4). 244–248. 43 indexed citations
4.
Uraki, Ryuta, et al.. (2011). Blocking of FcR Suppresses the Intestinal Invasion of Scrapie Agents. PLoS ONE. 6(3). e17928–e17928. 5 indexed citations
5.
Takeyama, Natsumi, Yasuhisa Ano, Guoying Wu, et al.. (2009). Localization of insulinoma associated protein 2, IA-2 in mouse neuroendocrine tissues using two novel monoclonal antibodies. Life Sciences. 84(19-20). 678–687. 22 indexed citations
6.
Hatakeyama, Yoshinori, Yukita Sato, Koichi Murata, Masayoshi Yukawa, & Hidetoshi Iwano. (2009). Search for and detection of specific DNA fragments in high- and low-virulent strains of Nosema bombycis (Microsporida: Nosematidae). Journal of insect biotechnology and sericology. 78(1). 17–21. 1 indexed citations
7.
Horiuchi, Yutaka, et al.. (2009). Increase of regulatory T cells in the peripheral blood of dogs with metastatic tumors. Microbiology and Immunology. 53(8). 468–474. 30 indexed citations
8.
Ejiri, Hiroko, Yukita Sato, Rei Matsumoto, et al.. (2009). Prevalence of avian malaria parasite in mosquitoes collected at a zoological garden in Japan. Parasitology Research. 105(3). 629–633. 65 indexed citations
9.
10.
Sato, Yukita, S Nakamura, Chihiro Yoshida, et al.. (2008). Molecular detection of Leucocytozoon lovati from probable vectors, black flies (Simuliudae) collected in the alpine regions of Japan. Parasitology Research. 104(2). 251–255. 22 indexed citations
11.
Inoue, Kai, Soichi Maruyama, Hidenori Kabeya, et al.. (2008). Prevalence and Genetic Diversity of Bartonella Species Isolated from Wild Rodents in Japan. Applied and Environmental Microbiology. 74(16). 5086–5092. 69 indexed citations
12.
Sato, Yukita, Thanh Hoa Le, Masayoshi Yukawa, et al.. (2008). Mitochondrial DNA sequence and gene order of the Sri Lankan Schistosoma nasale is affiliated to the African/Indian group. Parasitology International. 57(4). 460–464. 8 indexed citations
13.
Aoki, Tomohiro, et al.. (1999). Developmental Profile of Prolactin Cells in the Anterior Pituitary of Postnatal Rats during the Lactational Stage. Experimental Biology and Medicine. 220(2). 94–99. 3 indexed citations
14.
Yukawa, Masayoshi, et al.. (1994). Cellular Composition of the Pancreatic Islets in Mongolian gerbils (Meriones unguiculatus). Anatomia Histologia Embryologia. 23(2). 120–127. 2 indexed citations
15.
16.
Mochizuki, Atsuko, et al.. (1992). Susceptibility of a line of dolphin kidney cell culture to several herpesviruses. Journal of Basic Microbiology. 32(4). 227–232. 7 indexed citations
17.
Yukawa, Masayoshi. (1991). The Mongolian gerbil as laboratory animal for testing the potency of Leptospira antisera. British Veterinary Journal. 147(4). 390–393. 2 indexed citations
18.
Yukawa, Masayoshi, et al.. (1990). Susceptibility of Mongolian gerbils (Meriones unguiculatus) to leptospires and the protective effect of vaccination. Veterinary Microbiology. 24(1). 63–71. 13 indexed citations
19.
Yukawa, Masayoshi, et al.. (1990). Characterization of asialo GM1 positive splenic lymphocytes in Mongolian gerbils.. The Japanese Journal of Veterinary Science. 52(4). 861–864. 4 indexed citations
20.
Yukawa, Masayoshi, et al.. (1990). Sarcocystis in Murray Grey stock cattle introduced from Australia.. The Japanese Journal of Veterinary Science. 52(4). 883–885. 1 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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