Mayu Kasubuchi

14 papers receiving 1.3k citations

Mayu Kasubuchi's Hit Papers

Dietary Gut Microbial Metabolites, Short-chain Fatty Acids, and Host Metabolic Regulation 2015 · 670 citations
6700+3+7Years since publication200400600

Peers

Mayu Kasubuchi
Comparison fields: 5 of 95
  • Biological Psychiatry 49
  • Physiology 447
  • Nutrition and Dietetics 242
  • Gastroenterology 70
  • Molecular Biology 767
Replace Sae Hasegawa with:
Sae Hasegawa Japan
Bingxu Huang China
Fabienne De Backer Belgium
Shoupeng Fu China
Arianna Psichas United Kingdom
Giovanna Trinchese Italy
Saad Al-Lahham Palestinian Territory
Giovanna Traina Italy
Yuxiang Yang China
Mayu Kasubuchi relative to Sae Hasegawa Japan Sae Hasegawa's profile →
Citations per field
00.5×1.5×
Sae Hasegawa · 1×
Citations per year

Countries citing papers authored by Mayu Kasubuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mayu Kasubuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayu Kasubuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayu Kasubuchi Line = papers co-authored together Mayu Kasubuchi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Dietary Gut Microbial Metabolites, Short-chain Fatty Acids, and Host Metabolic Regulation
Hit paper breakdown →
2015670
2 2016163
3 2014143
4 2018117
5 2016102
6 201747
7 201627
8 201826
9 201815
10 201612
11 202210
12 201510
13 20195
14 20213

About Mayu Kasubuchi

Mayu Kasubuchi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Surgery and Nutrition and Dietetics, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Receptor Mechanisms and Signaling (4 papers), Insect Utilization and Effects (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Cholesterol and Lipid Metabolism (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Estrogen and related hormone effects (2 papers) and Insect-Plant Interactions and Control (2 papers). The work is most often cited by research in Biological Psychiatry (49 citations), Physiology (447 citations), Nutrition and Dietetics (242 citations), Gastroenterology (70 citations) and Molecular Biology (767 citations). Mayu Kasubuchi has collaborated with scholars based in Japan and China. Frequent co-authors include Ikuo Kimura, Sae Hasegawa, Atsuhiko Ichimura, Junki Miyamoto, Akira Nakajima, Junichiro Irie, Hiroshi Itoh, Keita Watanabe, Xuan Li and Satsuki Taira. Their work appears in journals such as Biochemical and Biophysical Research Communications, Current Drug Targets, Journal of Insect Physiology, Nutrients and Frontiers in Pharmacology.

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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