Kan Shida

2.2k total citations
34 papers, 1.8k citations indexed

About

Kan Shida is a scholar working on Food Science, Molecular Biology and Immunology. According to data from OpenAlex, Kan Shida has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 13 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Kan Shida's work include Probiotics and Fermented Foods (24 papers), Gut microbiota and health (11 papers) and Immune Response and Inflammation (6 papers). Kan Shida is often cited by papers focused on Probiotics and Fermented Foods (24 papers), Gut microbiota and health (11 papers) and Immune Response and Inflammation (6 papers). Kan Shida collaborates with scholars based in Japan and United States. Kan Shida's co-authors include Masanobu Nanno, Hisako Yasui, Junko Kiyoshima‐Shibata, Tetsuji Hori, Masato Nagaoka, Teruo Yokokura, Koji Nomoto, Satoru Nagata, Kotaro Takamizawa and Takeshi Matsuzaki and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kan Shida

34 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan Shida Japan 21 1.1k 890 350 337 285 34 1.8k
Carolina Maldonado Galdeano Argentina 20 1.5k 1.4× 1.3k 1.5× 602 1.7× 268 0.8× 403 1.4× 24 2.4k
Marcela Medina Argentina 19 738 0.7× 697 0.8× 371 1.1× 188 0.6× 267 0.9× 26 1.6k
Miriam Bermúdez-Brito Spain 15 953 0.9× 1.0k 1.1× 470 1.3× 200 0.6× 239 0.8× 18 1.8k
Sergio Muñoz‐Quezada Spain 13 928 0.9× 1.1k 1.2× 401 1.1× 177 0.5× 255 0.9× 14 1.8k
Masaru Hiramatsu Japan 19 730 0.7× 665 0.7× 206 0.6× 180 0.5× 214 0.8× 32 1.2k
Susana Salva Argentina 27 738 0.7× 663 0.7× 242 0.7× 333 1.0× 396 1.4× 49 1.6k
Johannes Snel Netherlands 12 970 0.9× 1.5k 1.7× 500 1.4× 453 1.3× 520 1.8× 15 2.3k
U. Sonnenborn Germany 24 1.2k 1.1× 1.7k 1.9× 357 1.0× 302 0.9× 565 2.0× 37 3.0k
Anne Donnet‐Hughes Switzerland 16 906 0.9× 1.1k 1.2× 1.0k 2.9× 290 0.9× 197 0.7× 22 2.3k
Philippe Langella France 20 918 0.9× 1.1k 1.2× 284 0.8× 247 0.7× 503 1.8× 22 2.0k

Countries citing papers authored by Kan Shida

Since Specialization
Citations

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

Fields of papers citing papers by Kan Shida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Shida

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Shida. A scholar is included among the top collaborators of Kan Shida 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 Kan Shida. Kan Shida 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.
Kiyoshima‐Shibata, Junko, et al.. (2018). Short communication: Probiotic induction of interleukin-10 and interleukin-12 production by macrophages is modulated by co-stimulation with microbial components. Journal of Dairy Science. 101(4). 2838–2841. 35 indexed citations
2.
Sakai, Takafumi, Takuya Takahashi, Kan Shida, et al.. (2018). Probiotics into outer space: feasibility assessments of encapsulated freeze-dried probiotics during 1 month’s storage on the International Space Station. Scientific Reports. 8(1). 10687–10687. 24 indexed citations
3.
Morikawa, Masatoshi, Satoshi Tsujibe, Junko Kiyoshima‐Shibata, et al.. (2016). Microbiota of the Small Intestine Is Selectively Engulfed by Phagocytes of the Lamina Propria and Peyer’s Patches. PLoS ONE. 11(10). e0163607–e0163607. 39 indexed citations
4.
Shida, Kan, Tadashi Sato, Ryoko Iizuka, et al.. (2015). Daily intake of fermented milk with Lactobacillus casei strain Shirota reduces the incidence and duration of upper respiratory tract infections in healthy middle-aged office workers. Zeitschrift für Ernährungswissenschaft. 56(1). 45–53. 103 indexed citations
5.
Tsujibe, Satoshi, Tomoaki Naito, Hiromi Setoyama, et al.. (2015). Enhanced differentiation of intraepithelial lymphocytes in the intestine of polymeric immunoglobulin receptor‐deficient mice. Immunology. 146(1). 59–69. 8 indexed citations
6.
Nagahama, Koji, Takayuki Kumano, Yuichi Nakagawa, et al.. (2015). Enhanced Immunostimulating Activity of Lactobacilli-Mimicking Materials by Controlling Size. Bioconjugate Chemistry. 26(8). 1775–1781. 1 indexed citations
7.
Suzuki, Tomomi, Masaki Serata, Tsuyoshi Nagata, et al.. (2011). Probiotic upregulation of peripheral IL-17 responses does not exacerbate neurological symptoms in experimental autoimmune encephalomyelitis mouse models. Immunopharmacology and Immunotoxicology. 34(3). 423–433. 32 indexed citations
8.
9.
10.
Shida, Kan, Satoru Nagata, Mariko Wada, et al.. (2010). Well‐controlled proinflammatory cytokine responses of Peyer’s patch cells to probiotic Lactobacillus casei. Immunology. 130(3). 352–362. 78 indexed citations
11.
Suzuki, Tomomi, et al.. (2009). Immune Deviation and Alleviation of Allergic Reactions in Mice Subjected to Dietary Restriction. Bioscience Biotechnology and Biochemistry. 73(12). 2705–2711. 1 indexed citations
12.
13.
Kato, Ikuo, Masanobu Nanno, Kan Shida, et al.. (2009). Oral administration of probiotic bacteria,Lactobacillus caseiandBifidobacterium breve, does not exacerbate neurological symptoms in experimental autoimmune encephalomyelitis. Immunopharmacology and Immunotoxicology. 32(1). 116–124. 29 indexed citations
14.
Shida, Kan & Masanobu Nanno. (2008). Probiotics and immunology: separating the wheat from the chaff. Trends in Immunology. 29(11). 565–573. 81 indexed citations
15.
Tamura, Manabu, Takashi Shikina, Tetsuo Morihana, et al.. (2006). Effects of Probiotics on Allergic Rhinitis Induced by Japanese Cedar Pollen: Randomized Double-Blind, Placebo-Controlled Clinical Trial. International Archives of Allergy and Immunology. 143(1). 75–82. 92 indexed citations
16.
17.
Yasui, Hisako, Kan Shida, Takeshi Matsuzaki, & Teruo Yokokura. (1999). Immunomodulatory function of lactic acid bacteria. Antonie van Leeuwenhoek. 76(1-4). 383–389. 91 indexed citations
18.
Shida, Kan, Kumiko Makino, Kotaro Takamizawa, et al.. (1998). Lactobacillus casei Inhibits Antigen-Induced IgE Secretion through Regulation of Cytokine Production in Murine Splenocyte Cultures. International Archives of Allergy and Immunology. 115(4). 278–287. 210 indexed citations
19.
Shida, Kan, Kotaro Takamizawa, & Toshiaki Osawa. (1996). Inhibition ofEscherichia coliHeat-labile Enterotoxin by an Amino Carbonyl Product, Lactose-α-lactalbumin. Bioscience Biotechnology and Biochemistry. 60(9). 1492–1494. 2 indexed citations
20.
Shida, Kan, et al.. (1994). Enterotoxin-Binding Glycoproteins in a Proteose-Peptone Fraction of Heated Bovine Milk. Journal of Dairy Science. 77(4). 930–939. 19 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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