Mami Matano

6.6k total citations · 5 hit papers
29 papers, 4.0k citations indexed

About

Mami Matano is a scholar working on Molecular Biology, Oncology and Nutrition and Dietetics. According to data from OpenAlex, Mami Matano has authored 29 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Nutrition and Dietetics. Recurrent topics in Mami Matano's work include Cancer Cells and Metastasis (7 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Cancer Genomics and Diagnostics (6 papers). Mami Matano is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Cancer Genomics and Diagnostics (6 papers). Mami Matano collaborates with scholars based in Japan, United States and Netherlands. Mami Matano's co-authors include Toshiro Sato, Masayuki Fujii, Yuki Ohta, Takanori Kanai∥, Ai Takano, Mariko Shimokawa, Shoichi Date, Kosaku Nanki, Shinya Sugimoto and Kohta Toshimitsu and has published in prestigious journals such as Nature, Nature Medicine and Gastroenterology.

In The Last Decade

Mami Matano

29 papers receiving 4.0k citations

Hit Papers

Modeling colorectal cancer using CRISPR-Cas9–mediated eng... 2015 2026 2018 2022 2015 2016 2017 2018 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mami Matano Japan 18 2.4k 1.7k 1.1k 843 517 29 4.0k
Masayuki Fujii Japan 18 2.5k 1.1× 1.7k 1.0× 1.1k 1.0× 875 1.0× 511 1.0× 49 4.1k
Ai Takano Japan 10 1.6k 0.7× 1.2k 0.7× 683 0.6× 581 0.7× 312 0.6× 10 2.6k
Robert G. Vries Netherlands 16 2.5k 1.1× 3.0k 1.7× 1.1k 1.0× 618 0.7× 945 1.8× 25 6.1k
Wouter R. Karthaus United States 14 1.3k 0.5× 2.1k 1.2× 405 0.4× 592 0.7× 437 0.8× 25 3.5k
Valerio Brizi Italy 6 1.0k 0.4× 1.6k 0.9× 646 0.6× 292 0.3× 404 0.8× 10 3.1k
Francisco M. Barriga United States 15 1.3k 0.5× 1.1k 0.6× 282 0.3× 469 0.6× 419 0.8× 29 2.3k
Regina M. Young United States 24 2.3k 1.0× 1.8k 1.1× 862 0.8× 602 0.7× 879 1.7× 49 3.9k
Hyunggee Kim South Korea 37 1.4k 0.6× 2.5k 1.4× 230 0.2× 1.1k 1.3× 336 0.6× 139 4.6k
Brigitte Bourachot France 24 2.0k 0.8× 2.6k 1.5× 235 0.2× 841 1.0× 510 1.0× 26 4.5k
Vimla Band United States 35 1.7k 0.7× 2.2k 1.3× 153 0.1× 648 0.8× 697 1.3× 74 4.0k

Countries citing papers authored by Mami Matano

Since Specialization
Citations

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

Fields of papers citing papers by Mami Matano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mami Matano

This figure shows the co-authorship network connecting the top 25 collaborators of Mami Matano. A scholar is included among the top collaborators of Mami Matano 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 Mami Matano. Mami Matano 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.
Igarashi, Ryo, Mayumi Oda, Ryo Okada, et al.. (2025). Generation of human adult hepatocyte organoids with metabolic functions. Nature. 641(8065). 1248–1257. 12 indexed citations
2.
Ohta, Yuki, Masayuki Fujii, Sirirat Takahashi, et al.. (2022). Cell–matrix interface regulates dormancy in human colon cancer stem cells. Nature. 608(7924). 784–794. 119 indexed citations
3.
Sugimoto, Shinya, Eiji Kobayashi, Masayuki Fujii, et al.. (2021). An organoid-based organ-repurposing approach to treat short bowel syndrome. Nature. 592(7852). 99–104. 113 indexed citations
4.
Matano, Mami, et al.. (2021). Molecular characterization of a novel aspartyl aminopeptidase that contributes to the increase in glutamic acid content in chicken meat during cooking. Food Chemistry Molecular Sciences. 2. 100015–100015. 7 indexed citations
5.
Pedersen, Marianne Terndrup, Yuki Ohta, Alberto Díez-Sánchez, et al.. (2020). LSD1 represses a neonatal/reparative gene program in adult intestinal epithelium. Science Advances. 6(37). 21 indexed citations
6.
Ito‐Harashima, Sayoko, et al.. (2020). Construction of reporter gene assays using CWP and PDR mutant yeasts for enhanced detection of various sex steroids. Genes and Environment. 42(1). 20–20. 13 indexed citations
7.
Togasaki, Kazuhiro, Shinya Sugimoto, Yuki Ohta, et al.. (2020). Wnt Signaling Shapes the Histologic Variation in Diffuse Gastric Cancer. Gastroenterology. 160(3). 823–830. 48 indexed citations
8.
Kawasaki, Kenta, Masayuki Fujii, Shinya Sugimoto, et al.. (2019). Chromosome Engineering of Human Colon-Derived Organoids to Develop a Model of Traditional Serrated Adenoma. Gastroenterology. 158(3). 638–651.e8. 60 indexed citations
9.
Seino, Takashi, Shintaro Kawasaki, Mariko Shimokawa, et al.. (2018). Human Pancreatic Tumor Organoids Reveal Loss of Stem Cell Niche Factor Dependence during Disease Progression. Cell stem cell. 22(3). 454–467.e6. 452 indexed citations breakdown →
10.
Fujii, Masayuki, Mami Matano, Kosaku Nanki, & Toshiro Sato. (2018). Author Correction: Efficient genetic engineering of human intestinal organoids using electroporation. Nature Protocols. 14(8). 2595–2595. 5 indexed citations
11.
Sugimoto, Shinya, Yuki Ohta, Masayuki Fujii, et al.. (2017). Reconstruction of the Human Colon Epithelium In Vivo. Cell stem cell. 22(2). 171–176.e5. 147 indexed citations
12.
Mihara, Emiko, Hidenori Hirai, Hideki Yamamoto, et al.. (2016). Active and water-soluble form of lipidated Wnt protein is maintained by a serum glycoprotein afamin/α-albumin. eLife. 5. 135 indexed citations
13.
Matano, Mami, et al.. (2015). Sweetness characterization of recombinant human lysozyme. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 188. 8–14. 4 indexed citations
14.
Fujii, Masayuki, Mami Matano, Kosaku Nanki, & Toshiro Sato. (2015). Efficient genetic engineering of human intestinal organoids using electroporation. Nature Protocols. 10(10). 1474–1485. 243 indexed citations
15.
Maehashi, Kenji, Mami Matano, Tomohiro Irisawa, et al.. (2010). Primary Structure of Potential Allergenic Proteins in Emu (Dromaius novaehollandiae) Egg White. Journal of Agricultural and Food Chemistry. 58(23). 12530–12536. 16 indexed citations
16.
Maehashi, Kenji, Mami Matano, Makiko Saito, & Shigezo Udaka. (2010). Extracellular production of riboflavin-binding protein, a potential bitter inhibitor, by Brevibacillus choshinensis. Protein Expression and Purification. 71(1). 85–90. 9 indexed citations
17.
Maehashi, Kenji, et al.. (2008). Reduction of Bitterness of the Bitter Gourd by Katsuobushi. Nippon Shokuhin Kagaku Kogaku Kaishi. 55(4). 186–190. 2 indexed citations
18.
Maehashi, Kenji, et al.. (2007). Riboflavin-Binding Protein Is a Novel Bitter Inhibitor. Chemical Senses. 33(1). 57–63. 20 indexed citations
19.
Maehashi, Kenji, et al.. (2007). Bitter peptides activate hTAS2Rs, the human bitter receptors. Biochemical and Biophysical Research Communications. 365(4). 851–855. 85 indexed citations
20.
Maehashi, Kenji, Mami Matano, Akira Kondo, Yasushi Yamämoto, & Shigezo Udaka. (2006). Riboflavin-Binding Protein Exhibits Selective Sweet Suppression toward Protein Sweeteners. Chemical Senses. 32(2). 183–190. 17 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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