Y. Kadooka

862 total citations · 1 hit paper
8 papers, 664 citations indexed

About

Y. Kadooka is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Y. Kadooka has authored 8 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Food Science and 2 papers in Nutrition and Dietetics. Recurrent topics in Y. Kadooka's work include Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). Y. Kadooka is often cited by papers focused on Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). Y. Kadooka collaborates with scholars based in Japan. Y. Kadooka's co-authors include Aiko Ogawa, Masao Sato, Kazuhiko Imaizumi, Yasuhiro Akai, Takaaki Tsuchida, Masatoyo Kagoshima, Fumihiko Sakai, Yukiko Morita, Toshihiko Hosoya and Bungo Shirouchi and has published in prestigious journals such as Journal of Dairy Science, European Journal of Clinical Nutrition and Cancer Genetics.

In The Last Decade

Y. Kadooka

8 papers receiving 630 citations

Hit Papers

Regulation of abdominal adiposity by probiotics (Lactobac... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Kadooka Japan 6 475 349 193 109 65 8 664
Akihiro Ogawa Japan 12 519 1.1× 327 0.9× 221 1.1× 123 1.1× 55 0.8× 28 744
Jessica Van Harsselaar United Kingdom 5 545 1.1× 299 0.9× 163 0.8× 196 1.8× 66 1.0× 8 815
Ana Nogal United Kingdom 7 502 1.1× 321 0.9× 120 0.6× 107 1.0× 55 0.8× 12 792
Daniela Gräf Germany 11 450 0.9× 226 0.6× 118 0.6× 139 1.3× 44 0.7× 18 715
Louise Crovesy Brazil 7 547 1.2× 384 1.1× 103 0.5× 107 1.0× 54 0.8× 11 798
Lise Deroover Belgium 8 340 0.7× 297 0.9× 105 0.5× 155 1.4× 56 0.9× 13 618
Yukio Kadooka Japan 15 630 1.3× 418 1.2× 303 1.6× 152 1.4× 66 1.0× 21 888
Vandana Sharma United States 10 548 1.2× 200 0.6× 109 0.6× 125 1.1× 75 1.2× 12 868
Amanda N. Payne Switzerland 7 486 1.0× 212 0.6× 195 1.0× 123 1.1× 73 1.1× 7 687

Countries citing papers authored by Y. Kadooka

Since Specialization
Citations

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

Fields of papers citing papers by Y. Kadooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Kadooka

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Kadooka. A scholar is included among the top collaborators of Y. Kadooka 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 Y. Kadooka. Y. Kadooka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kawahara, Daisuke, Masashi Kishi, Y. Kadooka, Kenzo Hirose, & Yuji Murakami. (2025). Integrating radiomics and gene expression by mapping on the image with improved DeepInsight for clear cell renal cell carcinoma. Cancer Genetics. 292-293. 100–105. 3 indexed citations
2.
Shirouchi, Bungo, Yukiko Morita, Aiko Ogawa, et al.. (2018). Probiotic Lactobacillus gasseri SBT2055 improves insulin secretion in a diabetic rat model. Journal of Dairy Science. 102(2). 997–1006. 63 indexed citations
3.
Higurashi, Satoshi, et al.. (2015). Improvement of skin condition by oral supplementation with sphingomyelin-containing milk phospholipids in a double-blind, placebo-controlled, randomized trial. Journal of Dairy Science. 98(10). 6706–6712. 23 indexed citations
4.
Ukibe, Ken, et al.. (2014). Lactobacillus helveticus SBT2171, a cheese starter, regulates proliferation and cytokine production of immune cells. Journal of Dairy Science. 97(8). 4772–4779. 23 indexed citations
5.
Hosoya, Toshihiko, Aiko Ogawa, Fumihiko Sakai, & Y. Kadooka. (2012). A cheese-containing diet modulates immune responses and alleviates dextran sodium sulfate–induced colitis in mice. Journal of Dairy Science. 95(6). 2810–2818. 17 indexed citations
6.
Yasuda, Shin, Naganari Ohkura, Kohei Suzuki, et al.. (2010). Effects of highly ripened cheeses on HL-60 human leukemia cells: Antiproliferative activity and induction of apoptotic DNA damage. Journal of Dairy Science. 93(4). 1393–1400. 18 indexed citations
7.
Kadooka, Y., Masao Sato, Kazuhiko Imaizumi, et al.. (2010). Regulation of abdominal adiposity by probiotics (Lactobacillus gasseri SBT2055) in adults with obese tendencies in a randomized controlled trial. European Journal of Clinical Nutrition. 64(6). 636–643. 514 indexed citations breakdown →
8.
Matsuyama, Hiroaki, et al.. (2010). Effects of Fe-lactoferrin via oral administration on mental stress.. 59(2). 93–101. 3 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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