Mami Matano

6.6k citations
29 papers · 4.0k indexed · 5 hit papers · h-index 18

Impact in

Papers in

Mami Matano

29 papers receiving 4.0k citations

Hit Papers

Human Pancreatic Tumor Organoids Reveal Loss of Stem Cell Niche Factor Dependence during Disease Progression 2018 · 452 citations
4522015202620182022250500750

Peers

Mami Matano
Comparison fields: 5 of 106
  • Oncology 2.4k
  • Cancer Research 843
  • Biotechnology 271
  • Biomedical Engineering 1.1k
  • Molecular Biology 1.7k
Replace Robert G. Vries with:
Robert G. Vries Netherlands
Masayuki Fujii Japan
Valerio Brizi Italy
Ai Takano Japan
Wouter R. Karthaus United States
Wim de Lau Netherlands
Brigitte Mack Germany
Hyunggee Kim South Korea
Madelon M. Maurice Netherlands
Nelson Dusetti France
Mami Matano relative to Robert G. Vries Netherlands Robert G. Vries's profile →
Citations per field
00.5×1.5×
Robert G. Vries · 1×
Citations per year

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

The 25 scholars most cited alongside Mami Matano, 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 Mami Matano Line = papers co-authored together Mami Matano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202512
2 2022119
3 2021113
4 20217
5 202021
6 202048
7 202013
8 201960
9 20185
10
Human Pancreatic Tumor Organoids Reveal Loss of Stem Cell Niche Factor Dependence during Disease Progression
Hit paper breakdown →
2018452
11 2017147
12 20154
13 2015243
14 201454
15 201116
16 20109
17 20082
18 200785
19 200720
20 200617

About Mami Matano

Mami Matano is a scholar working on Nutrition and Dietetics, Sensory Systems, Cancer Research, Oncology and Microbiology, having authored 29 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Biochemical Analysis and Sensing Techniques (7 papers), Cancer Genomics and Diagnostics (6 papers), Biochemical and Structural Characterization (3 papers), Digestive system and related health (3 papers), Epigenetics and DNA Methylation (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Oncology (2.4k citations), Cancer Research (843 citations), Biotechnology (271 citations), Biomedical Engineering (1.1k citations) and Molecular Biology (1.7k citations). Mami Matano has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Toshiro Sato, Masayuki Fujii, Yuki Ohta, Takanori Kanai∥, Ai Takano, Mariko Shimokawa, Shoichi Date, Kosaku Nanki, Shinya Sugimoto and Kohta Toshimitsu. Their work appears in journals such as Nature, Cell stem cell, Chemical Senses, Journal of Agricultural and Food Chemistry and Nature Protocols.

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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