Mai Takada

881 total citations
9 papers, 702 citations indexed

About

Mai Takada is a scholar working on Molecular Biology, Pharmacy and Gastroenterology. According to data from OpenAlex, Mai Takada has authored 9 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pharmacy and 3 papers in Gastroenterology. Recurrent topics in Mai Takada's work include Infant Health and Development (4 papers), Gastrointestinal motility and disorders (3 papers) and Gut microbiota and health (3 papers). Mai Takada is often cited by papers focused on Infant Health and Development (4 papers), Gastrointestinal motility and disorders (3 papers) and Gut microbiota and health (3 papers). Mai Takada collaborates with scholars based in Japan. Mai Takada's co-authors include Mitsuhisa Kawai, Kouji Miyazaki, Kazunori Suda, Kazuhito Rokutan, Yuki Kuwano, Kensei Nishida, Osamu Watanabe, Rosangela Hoshi, Hiroshi Ishikawa and Hiroko KIKUCHI-HAYAKAWA and has published in prestigious journals such as Applied and Environmental Microbiology, Nutrients and Neuroscience Letters.

In The Last Decade

Mai Takada

9 papers receiving 676 citations

Peers

Mai Takada

MB

PHYSI

BP

FS

GASTR

Kazunori Suda Japan

Mitsuhisa Kawai Japan

William Hutch Ireland

Caroline Wallace Canada

Hiroko KIKUCHI-HAYAKAWA Japan

Kirsten Berding Ireland

Leszek Rudzki Poland

Wei‐Hsien Liu China

Sophie Legrain–Raspaud France

Emiko Aizawa Japan

Kazunori Suda Japan

Mai Takada

630 ×1.3

MB

233 ×1.1

PHYSI

244 ×1.2

BP

214 ×1.2

FS

140 ×1.1

GASTR

Citations per year, relative to Mai Takada Mai Takada (= 1×) peers Kazunori Suda

Countries citing papers authored by Mai Takada

Since Specialization

Citations

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

Fields of papers citing papers by Mai Takada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Takada

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

All Works

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9 of 9 papers shown

1.

KIKUCHI-HAYAKAWA, Hiroko, Hiroshi Ishikawa, Kazunori Suda, et al.. (2023). Effects of Lacticaseibacillus paracasei Strain Shirota on Daytime Performance in Healthy Office Workers: A Double-Blind, Randomized, Crossover, Placebo-Controlled Trial. Nutrients. 15(24). 5119–5119. 8 indexed citations

2.

Takada, Mai, Kensei Nishida, Hiroko KIKUCHI-HAYAKAWA, et al.. (2017). Beneficial effects of Lactobacillus casei strain Shirota on academic stress-induced sleep disturbance in healthy adults: a double-blind, randomised, placebo-controlled trial. Beneficial Microbes. 8(2). 153–162. 119 indexed citations

3.

Nishida, Kensei, Mai Takada, Mitsuhisa Kawai, et al.. (2016). Fermented Milk Containing Lactobacillus casei Strain Shirota Preserves the Diversity of the Gut Microbiota and Relieves Abdominal Dysfunction in Healthy Medical Students Exposed to Academic Stress. Applied and Environmental Microbiology. 82(12). 3649–3658. 219 indexed citations

4.

Tanida, Mamoru, et al.. (2016). Intragastric injection of Lactobacillus casei strain Shirota suppressed spleen sympathetic activation by central corticotrophin-releasing factor or peripheral 2-deoxy-d-glucose in anesthetized rats. Neuroscience Letters. 619. 114–120. 13 indexed citations

5.

Takada, Mai, Kensei Nishida, Kazunori Suda, et al.. (2016). Probiotic Lactobacillus casei strain Shirota relieves stress‐associated symptoms by modulating the gut–brain interaction in human and animal models. Neurogastroenterology & Motility. 28(7). 1027–1036. 191 indexed citations

6.

Nishida, Kensei, Mai Takada, Kazunori Suda, et al.. (2015). Fermented milk containing Lactobacillus casei strain Shirota prevents the onset of physical symptoms in medical students under academic examination stress. Beneficial Microbes. 7(2). 153–160. 125 indexed citations

7.

Hasegawa, Koichi, Seiko Ohno, Mai Takada, et al.. (2012). Sarcoidosis Complicated with Major Pulmonary Artery Obstruction and Stenosis. Internal Medicine. 51(19). 2775–2780. 10 indexed citations

8.

Takeda, Kiyoshi, Akio Tonouchi, Mai Takada, et al.. (2008). Characterization of cultivable methanotrophs from paddy soils and rice roots. Soil Science & Plant Nutrition. 54(6). 876–885. 15 indexed citations

9.

Majima, A, et al.. (1982). [Experimental studies on retinopathy of prematurity. (IV)--the morphological distribution of lipid peroxide in the kitten retina after oxygen administration].. PubMed. 86(9). 1245–50. 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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