M Takeichi
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- Zebrafish Biomedical Research Applications
Papers in
-
- Kruppel-like factors research 1
- Angiogenesis and VEGF in Cancer 1
- Wnt/β-catenin signaling in development and cancer 1
- Renal and related cancers 1
- Co-authors
- Yasufumi Kaneda (3 shared papers)Masaki Mori (2 shared papers)Hironori Nakagami (2 shared papers)Keisuke Nimura (2 shared papers)Kiyotoshi Sekiguchi (2 shared papers)Ken‐ichi Toda (1 shared paper)Toshio Tanaka (1 shared paper)Daiji Kiyozumi (2 shared papers)
- Journals
- The Journal of Cell Biology (1 paper)eLife (1 paper)The FASEB Journal (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
M Takeichi
9 papers receiving 328 citations
Peers
Comparison fields: 5 of 67
- Immunology and Allergy 51
- Cell Biology 69
- Molecular Biology 239
- Cancer Research 34
- Immunology 40
Countries citing papers authored by M Takeichi
This map shows the geographic impact of M Takeichi'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 M Takeichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Takeichi more than expected).
Fields of papers citing papers by M Takeichi
This network shows the impact of papers produced by M Takeichi. 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 M Takeichi. The network helps show where M Takeichi may publish in the future.
Co-authors
The 25 scholars most cited alongside M Takeichi, 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 | In vivo evidence of the critical role of cadherin-5 in murine vascular integrity. | 1997 | 75 |
| 2 | 2012 | 53 | |
| 3 | Increased cell-substratum adhesion, and decreased gelatinase secretion and cell growth, induced by E-cadherin transfection of human colon carcinoma cells. | 1995 | 51 |
| 4 | 2013 | 50 | |
| 5 | 2012 | 40 | |
| 6 | 2012 | 37 | |
| 7 | 2016 | 20 | |
| 8 | [Cellular and molecular basis for tissue construction: role of cadherins in selective cell adhesion]. | 1987 | 4 |
| 9 | [Role of cadherin adhesion systems in selective synapse formation]. | 1997 | 1 |
About M Takeichi
M Takeichi is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Hematology and Cell Biology, having authored 9 papers that have together received 331 indexed citations. Recurring topics across this work include Kruppel-like factors research (1 paper), Alzheimer's disease research and treatments (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Platelet Disorders and Treatments (1 paper), Renal and related cancers (1 paper), Cell Adhesion Molecules Research (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Immunology and Allergy (51 citations), Cell Biology (69 citations), Molecular Biology (239 citations), Cancer Research (34 citations) and Immunology (40 citations). M Takeichi has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasufumi Kaneda, Masaki Mori, Hironori Nakagami, Keisuke Nimura, Kiyotoshi Sekiguchi, Ken‐ichi Toda, Toshio Tanaka, Daiji Kiyozumi, Norihisa Matsuyoshi and Shinichi Nakagawa. Their work appears in journals such as The Journal of Cell Biology, eLife, The FASEB Journal, Journal of Biological Chemistry and PLoS ONE.
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.