T. Yoshida

2.1k total citations
67 papers, 1.7k citations indexed

About

T. Yoshida is a scholar working on Immunology, Ecology and Microbiology. According to data from OpenAlex, T. Yoshida has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 25 papers in Ecology and 15 papers in Microbiology. Recurrent topics in T. Yoshida's work include Aquaculture disease management and microbiota (33 papers), Microbial infections and disease research (14 papers) and Wildlife Ecology and Conservation (11 papers). T. Yoshida is often cited by papers focused on Aquaculture disease management and microbiota (33 papers), Microbial infections and disease research (14 papers) and Wildlife Ecology and Conservation (11 papers). T. Yoshida collaborates with scholars based in Japan, United States and United Kingdom. T. Yoshida's co-authors include Masahiro Sakai, V. Inglis, Masanori Kobayashi, Roberta Krüger, Tadatoshi KITAO, Michael A. Cotta, Badal C. Saha, Kenji Sonomoto, Toshiaki Itami and Koichi Kaji and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Microbiology.

In The Last Decade

T. Yoshida

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Yoshida Japan 26 1.0k 416 380 347 245 67 1.7k
Terutoyo Yoshida Japan 22 904 0.9× 489 1.2× 242 0.6× 281 0.8× 227 0.9× 79 1.5k
Mamoru Yoshimizu Japan 31 2.3k 2.3× 708 1.7× 376 1.0× 557 1.6× 208 0.8× 185 3.1k
David W. Verner–Jeffreys United Kingdom 26 1.2k 1.2× 409 1.0× 451 1.2× 464 1.3× 201 0.8× 64 2.2k
T. Raja Swaminathan India 21 1.3k 1.3× 357 0.9× 228 0.6× 515 1.5× 83 0.3× 98 1.8k
Jee Eun Han South Korea 23 945 0.9× 254 0.6× 604 1.6× 376 1.1× 205 0.8× 102 1.7k
John P. Hawke United States 25 1.3k 1.3× 319 0.8× 328 0.9× 516 1.5× 365 1.5× 52 1.7k
Takaji Iida Japan 24 1.3k 1.3× 425 1.0× 324 0.9× 289 0.8× 194 0.8× 81 1.7k
Simon Menanteau‐Ledouble Austria 17 1.0k 1.0× 451 1.1× 272 0.7× 312 0.9× 99 0.4× 49 1.4k
O.L.M. Haenen Netherlands 25 1.1k 1.1× 581 1.4× 569 1.5× 219 0.6× 71 0.3× 79 2.1k
Shih‐Chu Chen Taiwan 24 1.1k 1.1× 272 0.7× 211 0.6× 320 0.9× 237 1.0× 90 1.5k

Countries citing papers authored by T. Yoshida

Since Specialization
Citations

This map shows the geographic impact of T. Yoshida'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 T. Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yoshida more than expected).

Fields of papers citing papers by T. Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of T. Yoshida. A scholar is included among the top collaborators of T. Yoshida 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 T. Yoshida. T. Yoshida 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.
IKEDA, Takashi, Hiroshi Takahashi, Hiromasa Igota, et al.. (2019). Effects of culling intensity on diel and seasonal activity patterns of sika deer (Cervus nippon). Scientific Reports. 9(1). 17205–17205. 25 indexed citations
2.
Hoai, Truong Dinh, et al.. (2018). First isolation of Weissella ceti responsible for outbreaks of weissellosis in farmed rainbow trout in Japan. Journal of Fish Diseases. 41(5). 847–850. 8 indexed citations
3.
Takafumi, Hino, et al.. (2017). Seasonal and year-round use of the Kushiro Wetland, Hokkaido, Japan by sika deer ( Cervus nippon yesoensis ). PeerJ. 5. e3869–e3869. 8 indexed citations
4.
IKEDA, Takashi, Hiroshi Takahashi, T. Yoshida, et al.. (2016). Comparison of Drive Counts and Mark-Resight As Methods of Population Size Estimation of Highly Dense Sika Deer (Cervus nippon) Populations. PLoS ONE. 11(10). e0164345–e0164345. 10 indexed citations
5.
Yoshida, T., et al.. (2015). Predation impacts of four invasive frogs in Hokkaido, Japan, assessed by an index of relative importance.. 20(1). 15–26. 7 indexed citations
6.
Takafumi, Hino, et al.. (2014). Impacts of High Density of Sika Deer (Cervus nippon yesoensis) on Dung Beetle Community. Japanese Journal of Applied Entomology and Zoology. 58(3). 269–274. 4 indexed citations
7.
Yoshida, T., et al.. (2012). Development of a sensitive and specific LAMP PCR assay for detection of fish pathogen Lactococcus garvieae. Diseases of Aquatic Organisms. 102(3). 225–235. 18 indexed citations
8.
Suanyuk, Naraid, T. Yoshida, Toshiaki Itami, et al.. (2010). Streptococcus iniae infection in cultured Asian sea bass (Lates calcarifer) and red tilapia (Oreochromis sp.) in southern Thailand. Civil War Book Review. 32(4). 341–348. 49 indexed citations
9.
Miyazaki, Teruo, et al.. (2010). Histopathological studies on Vibrio harveyi– infected tiger puffer, Takifugu rubripes (Temminck et Schlegel), cultured in Japan. Journal of Fish Diseases. 33(10). 833–840. 45 indexed citations
10.
Ohtsuka, Susumu, et al.. (2009). Homogeneity among Lactococcus garvieae isolates from striped jack, Pseudocaranx dentex (Bloch & Schneider), and its ectoparasites. Journal of Fish Diseases. 32(10). 901–905. 8 indexed citations
11.
Shimahara, Yoshiko, et al.. (2008). Genetic and phenotypic comparison of Nocardia seriolae isolated from fish in Japan. Journal of Fish Diseases. 31(7). 481–488. 43 indexed citations
12.
Nomoto, Ryohei, H. Kagawa, & T. Yoshida. (2007). Partial sequencing of sodA gene and its application to identification of Streptococcus dysgalactiae subsp. dysgalactiae isolated from farmed fish. Letters in Applied Microbiology. 0(0). 3209832051–???. 21 indexed citations
13.
Kawanishi, Michihiro, T. Yoshida, Mayumi Kijima, et al.. (2007). Characterization of Lactococcus garvieae isolated from radish and broccoli sprouts that exhibited a KG+phenotype, lack of virulence and absence of a capsule. Letters in Applied Microbiology. 44(5). 481–487. 43 indexed citations
14.
Palaksha, K.J., et al.. (2006). Discrimination of streptococcosis agents in olive flounder (Paralichthys olivaceus). Bulletin of the European Association of Fish Pathologists. 26(2). 68–79. 28 indexed citations
15.
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17.
Ozaki, Kenichi, et al.. (2004). Habitat Classifications of Butterflies Based on the Differences in Butterfly Communities in Woodlands and Open Lands in Central Hokkaido, Japan. Journal of the Japanese Forest Society. 86(3). 251–257. 5 indexed citations
18.
Yoshida, T. & Kazuhiro Tanaka. (2000). Conceptual Design of a GIS-based Wildlife Management. A grid-polygon for biodiversity conservation.:A grid-polygon for biodiversity conservation. 8(1). 121–128.
19.
Kakizaki, Eiji, et al.. (1996). Detection of bacterial antigens using immuno-PCR. Letters in Applied Microbiology. 23(2). 101–103. 31 indexed citations
20.
Sakai, Masahiro, et al.. (1993). The cell surface hydrophobicity and hemagglutinating properties of the bacterial fish pathogen, Pasteurella piscicida.. Bulletin of the European Association of Fish Pathologists. 13(5). 168–170. 6 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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