Kazunari Ushida

6.0k total citations
170 papers, 4.5k citations indexed

About

Kazunari Ushida is a scholar working on Molecular Biology, Food Science and Animal Science and Zoology. According to data from OpenAlex, Kazunari Ushida has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 49 papers in Food Science and 34 papers in Animal Science and Zoology. Recurrent topics in Kazunari Ushida's work include Gut microbiota and health (48 papers), Probiotics and Fermented Foods (41 papers) and Animal Nutrition and Physiology (25 papers). Kazunari Ushida is often cited by papers focused on Gut microbiota and health (48 papers), Probiotics and Fermented Foods (41 papers) and Animal Nutrition and Physiology (25 papers). Kazunari Ushida collaborates with scholars based in Japan, United Kingdom and Uganda. Kazunari Ushida's co-authors include Takamitsu Tsukahara, Ryo Inoüe, Yuji Ohashi, J.P. Jouany, H. Koyama, Takahiro Segawa, Sayaka Tsuchida, Noritaka MATSUBARA, Shiro Kohshima and Megumi Matsumoto and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Nutrition.

In The Last Decade

Kazunari Ushida

163 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazunari Ushida Japan 36 2.1k 1.1k 722 665 620 170 4.5k
Évelyne Forano France 31 2.6k 1.2× 1.1k 1.0× 592 0.8× 1.3k 1.9× 835 1.3× 92 5.1k
Fiona Crispie Ireland 35 2.7k 1.3× 1.3k 1.2× 388 0.5× 503 0.8× 405 0.7× 93 4.4k
Xiangfang Zeng China 40 2.6k 1.2× 1.2k 1.1× 1.4k 1.9× 335 0.5× 564 0.9× 132 5.3k
J. Apajalahti Finland 39 2.7k 1.3× 1.3k 1.2× 1.8k 2.4× 537 0.8× 580 0.9× 89 6.4k
Carl J. Yeoman United States 36 2.9k 1.4× 525 0.5× 329 0.5× 791 1.2× 318 0.5× 78 5.3k
Shiyan Qiao China 37 2.1k 1.0× 1.4k 1.2× 2.3k 3.2× 348 0.5× 706 1.1× 118 5.1k
De Wu China 40 2.2k 1.0× 433 0.4× 1.7k 2.3× 660 1.0× 891 1.4× 336 6.4k
Jiangchao Zhao United States 39 2.9k 1.4× 735 0.7× 638 0.9× 250 0.4× 354 0.6× 146 4.8k
Freda M. McIntosh United Kingdom 17 1.8k 0.8× 531 0.5× 440 0.6× 1.4k 2.1× 517 0.8× 20 3.6k
Bernard Taminiau Belgium 37 2.1k 1.0× 1.4k 1.3× 388 0.5× 249 0.4× 433 0.7× 159 4.4k

Countries citing papers authored by Kazunari Ushida

Since Specialization
Citations

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

Fields of papers citing papers by Kazunari Ushida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazunari Ushida

This figure shows the co-authorship network connecting the top 25 collaborators of Kazunari Ushida. A scholar is included among the top collaborators of Kazunari Ushida 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 Kazunari Ushida. Kazunari Ushida 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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Ushida, Kazunari, et al.. (2025). Therapeutic effects of platelet-rich plasma on cartilage in experimental swine models of leg weakness. Journal of Veterinary Medical Science. 88(1). 116–118.
3.
Wampande, Eddie M., et al.. (2024). Integrating multi-wet laboratory diagnostics to study staphylococci in animals in Uganda. BMC Microbiology. 24(1). 298–298.
4.
Tsuchida, Sayaka, Benoît Goossens, Danica J. Stark, et al.. (2023). Isolation of Bacteria from Freeze-Dried Samples and the Functional Characterization of Species-Specific Lactic Acid Bacteria with a Comparison of Wild and Captive Proboscis Monkeys. Microorganisms. 11(6). 1458–1458. 1 indexed citations
5.
Shinkai, Shoji, Hirotsugu Shiroma, Yu Taniguchi, et al.. (2021). Identification of Faecalibacterium prausnitzii strains for gut microbiome-based intervention in Alzheimer’s-type dementia. Cell Reports Medicine. 2(9). 100398–100398. 97 indexed citations
6.
Tsuchida, Sayaka, Takashi Hayakawa, Mitsuo Sakamoto, et al.. (2021). Lactobacillus nasalidis sp. nov., isolated from the forestomach of a captive proboscis monkey (Nasalis larvatus). INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(4). 6 indexed citations
7.
Ushida, Kazunari, Richard Kock, & Monica A. Sundset. (2021). Special Issue: Wildlife Microbiology. Microorganisms. 9(9). 1968–1968. 1 indexed citations
8.
Hanya, Goro, Janko Tackmann, Jie Liu, et al.. (2020). Fermentation Ability of Gut Microbiota of Wild Japanese Macaques in the Highland and Lowland Yakushima: In Vitro Fermentation Assay and Genetic Analyses. Microbial Ecology. 80(2). 459–474. 11 indexed citations
9.
Segawa, Takahiro, et al.. (2019). Genomic Analyses of Bifidobacterium moukalabense Reveal Adaptations to Frugivore/Folivore Feeding Behavior. Microorganisms. 7(4). 99–99. 6 indexed citations
10.
Kobayashi, Atsushi, Sayaka Tsuchida, Takuji Yamada, et al.. (2018). Cecal Microbiome Analyses on Wild Japanese Rock Ptarmigans (Lagopus muta japonica) Reveals High Level of Coexistence of Lactic Acid Bacteria and Lactate-Utilizing Bacteria. Microorganisms. 6(3). 77–77. 7 indexed citations
11.
Tsuchida, Sayaka, et al.. (2018). Characteristics of Gorilla-Specific Lactobacillus Isolated from Captive and Wild Gorillas. Microorganisms. 6(3). 86–86. 9 indexed citations
12.
Romero‐Pérez, Gustavo A., Ryo Inoüe, Kazunari Ushida, & Takaji Yajima. (2013). A Rapid Method of Screening Lactic Acid Bacterial Strains for Conjugated Linoleic Acid Production. Bioscience Biotechnology and Biochemistry. 77(3). 648–650. 5 indexed citations
13.
Tsuruta, Takeshi, Ryo Inoüe, Takamitsu Tsukahara, et al.. (2012). Commensal bacteria coated by secretory immunoglobulin A and immunoglobulin G in the gastrointestinal tract of pigs and calves. Animal Science Journal. 83(12). 799–804. 12 indexed citations
14.
Segawa, Takahiro, Nozomu Takeuchi, Andrés Rivera, et al.. (2012). Distribution of antibiotic resistance genes in glacier environments. Environmental Microbiology Reports. 5(1). 127–134. 177 indexed citations
15.
16.
Takahashi, Shunsuke, et al.. (2007). Oral administration of Lactobacillus plantarum strain Lq80 to weaning piglets stimulates the growth of indigenous lactobacilli to modify the lactobacillal population. The Journal of General and Applied Microbiology. 53(6). 325–332. 25 indexed citations
17.
18.
Tsukahara, Takamitsu, et al.. (2005). Effect of a cell preparation ofEnterococcus faecalisstrain EC-12 on digesta flow and recovery from constipation in a pig model and human subjects. Microbial Ecology in Health and Disease. 17(2). 14 indexed citations
19.
Inoüe, Ryo, et al.. (2005). Development of Intestinal Microbiota in Mice and Its Possible Interaction with the Evolution of Luminal IgA in the Intestine. EXPERIMENTAL ANIMALS. 54(5). 437–445. 20 indexed citations
20.
Ushida, Kazunari & J.P. Jouany. (1986). Influence des protozoaires sur la dégradation des protéines mesurée in vitro et in sacco. annales de biologie animale biochimie biophysique. 26(1B). 293–294. 2 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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