Mai Kanai

520 total citations
12 papers, 409 citations indexed

About

Mai Kanai is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Mai Kanai has authored 12 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Cancer Research. Recurrent topics in Mai Kanai's work include Cancer, Hypoxia, and Metabolism (4 papers), Adipose Tissue and Metabolism (4 papers) and Mitochondrial Function and Pathology (2 papers). Mai Kanai is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Adipose Tissue and Metabolism (4 papers) and Mitochondrial Function and Pathology (2 papers). Mai Kanai collaborates with scholars based in Japan, United States and China. Mai Kanai's co-authors include Nobuhito Goda, Makoto Suematsu, Nanami Senoo‐Matsuda, Randall S. Johnson, Tomohiro Suzuki, Satoko Shinjo, Daisuke Niwa, Yuta Nomura, Shuying Jiang and Yasuaki Kabe and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Mai Kanai

12 papers receiving 405 citations

Peers

Mai Kanai
Shulin Wu China
Montserrat A. de la Rosa Rodriguez Netherlands
Xiaoyi Shi China
Alexander Laemmle Switzerland
Tae‐Young Na South Korea
Weiqi Tan China
Dinesh Babu Uthaya Kumar United States
Boquan Wu China
Haiyang Li China
Shulin Wu China
Mai Kanai
Citations per year, relative to Mai Kanai Mai Kanai (= 1×) peers Shulin Wu

Countries citing papers authored by Mai Kanai

Since Specialization
Citations

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

Fields of papers citing papers by Mai Kanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Kanai

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

All Works

12 of 12 papers shown
1.
Kanai, Mai, Itsuro Endo, Jumpei Teramachi, et al.. (2024). Inflammatory Cytokine-Induced Muscle Atrophy and Weakness Can Be Ameliorated by an Inhibition of TGF-β-Activated Kinase-1. International Journal of Molecular Sciences. 25(11). 5715–5715. 6 indexed citations
2.
Dong, Bingzi, Itsuro Endo, Kiyoe Kurahashi, et al.. (2019). Persistent Activation of Calcium‐Sensing Receptor Suppresses Bone Turnover, Increases Microcracks, and Decreases Bone Strength. JBMR Plus. 3(7). e10182–e10182. 6 indexed citations
3.
Suzuki, Tomohiro, et al.. (2018). Loss of hypoxia inducible factor‐1α aggravates γδ T‐cell‐mediated inflammation during acetaminophen‐induced liver injury. Hepatology Communications. 2(5). 571–581. 16 indexed citations
4.
Shinjo, Satoko, Shuying Jiang, Masaaki Nameta, et al.. (2017). Disruption of the mitochondria-associated ER membrane (MAM) plays a central role in palmitic acid–induced insulin resistance. Experimental Cell Research. 359(1). 86–93. 55 indexed citations
5.
Suzuki, Tomohiro, Satoko Shinjo, Mai Kanai, et al.. (2017). Type I neuregulin1α is a novel local mediator to suppress hepatic gluconeogenesis in mice. Scientific Reports. 7(1). 42959–42959. 8 indexed citations
6.
Goda, Nobuhito & Mai Kanai. (2012). Hypoxia-inducible factors and their roles in energy metabolism. International Journal of Hematology. 95(5). 457–463. 157 indexed citations
7.
Ochiai, Daigo, Nobuhito Goda, Takako Hishiki, et al.. (2011). Disruption of HIF-1α in hepatocytes impairs glucose metabolism in diet-induced obesity mice. Biochemical and Biophysical Research Communications. 415(3). 445–449. 37 indexed citations
8.
Goda, Nobuhito, Mai Kanai, Daisuke Niwa, et al.. (2011). HIF-1α induction suppresses excessive lipid accumulation in alcoholic fatty liver in mice. Journal of Hepatology. 56(2). 441–447. 92 indexed citations
9.
Kanai, Mai, et al.. (2009). Oligomycin induced the proteasomal degradation of cyclin D1 protein. The Journal of Antibiotics. 62(8). 425–429. 3 indexed citations
10.
Kanai, Mai, et al.. (2009). Transcriptional regulation of human fibroblast growth factor receptor 1 by E2F-1. Gene. 438(1-2). 49–56. 14 indexed citations
11.
Minato, Yusuke, et al.. (2008). Identification and Characterization of Mouse Type II Platelet-Derived Growth Factor Receptor α Transcript. Bioscience Biotechnology and Biochemistry. 72(3). 759–766. 1 indexed citations
12.
Minato, Yusuke, et al.. (2007). Transcriptional regulation of a new variant of human platelet-derived growth factor receptor α transcript by E2F-1. Gene. 403(1-2). 89–97. 14 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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2026