Akiko Mammoto
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions 21
- Hippo pathway signaling and YAP/TAZ 9
- Biomedical Engineering top 0.2%
- 3D Printing in Biomedical Research 15
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 12
- Biomaterials top 1%
- Molecular Biology top 1%
- Angiogenesis and VEGF in Cancer 19
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- Pulmonary Hypertension Research and Treatments 10
- Neonatal Respiratory Health Research 8
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- Cancer Cells and Metastasis 7
- Co-authors
- Donald E. IngberTadanori MammotoDongeun HuhBenjamin D. MatthewsMartin Montoya‐ZavalaYoshimi TakaiElisabeth JiangAmanda Jiang
- Journals
- Journal of Biological Chemistry (7 papers)American Journal of Respiratory Cell and Molecular Biology (6 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Akiko Mammoto
94 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 2.9k
- Biomedical Engineering 5.3k
- Immunology and Allergy 685
- Biomaterials 812
- Molecular Biology 4.3k
Countries citing papers authored by Akiko Mammoto
This map shows the geographic impact of Akiko Mammoto'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 Akiko Mammoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Mammoto more than expected).
Fields of papers citing papers by Akiko Mammoto
This network shows the impact of papers produced by Akiko Mammoto. 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 Akiko Mammoto. The network helps show where Akiko Mammoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Mammoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 15 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 64 | |
| 6 | 2017 | 140 | |
| 7 | 2017 | 72 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 55 | |
| 10 | 2015 | 24 | |
| 11 | 2014 | 206 | |
| 12 | 2014 | 55 | |
| 13 | 2014 | 22 | |
| 14 | 2011 | 177 | |
| 15 | 2011 | 39 | |
| 16 | 2010 | 143 | |
| 17 | 2009 | 347 | |
| 18 | 2009 | 303 | |
| 19 | 2008 | 148 | |
| 20 | 1999 | 78 |
About Akiko Mammoto
Akiko Mammoto is a scholar working on Cell Biology, Immunology and Allergy and Sensory Systems, having authored 94 papers that have together received 11.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (21 papers), Angiogenesis and VEGF in Cancer (19 papers), 3D Printing in Biomedical Research (15 papers), Cell Adhesion Molecules Research (12 papers), Pulmonary Hypertension Research and Treatments (10 papers), Hippo pathway signaling and YAP/TAZ (9 papers), Neonatal Respiratory Health Research (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Cell Biology (2.9k citations), Biomedical Engineering (5.3k citations) and Immunology and Allergy (685 citations). Akiko Mammoto has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Donald E. Ingber, Tadanori Mammoto, Dongeun Huh, Benjamin D. Matthews, Martin Montoya‐Zavala, Yoshimi Takai, Elisabeth Jiang, Amanda Jiang, Charles K. Thodeti and Takuya Sasaki. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Respiratory Cell and Molecular Biology, PLoS ONE, Journal of Cell Science and Biochemical and Biophysical Research Communications.
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.