Masashi Mori
- Aging top 10%
- Cell Biology top 5%
- Microtubule and mitosis dynamics 10
- Cellular Mechanics and Interactions 4
- Biophysics top 10%
- Reproductive Medicine top 10%
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- Reproductive Biology and Fertility 7
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- Epigenetics and DNA Methylation 3
- Nuclear Structure and Function 3
- Pluripotent Stem Cells Research 2
- RNA Research and Splicing 2
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- Prenatal Screening and Diagnostics 2
- Co-authors
- Péter LénártTakeo KishimotoKazunori TachibanaNilah MonnierMark BatheEiichi OkumuraShinichiro HanadaHitoshi Yoshida
- Cited by
- AgingCell BiologyBiophysics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)The Journal of Cell Biology (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Masashi Mori
18 papers receiving 610 citations
Peers
Comparison fields: 5 of 90
- Aging 36
- Cell Biology 264
- Biophysics 47
- Reproductive Medicine 63
- Public Health, Environmental and Occupational Health 178
Countries citing papers authored by Masashi Mori
This map shows the geographic impact of Masashi Mori'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 Masashi Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Mori more than expected).
Fields of papers citing papers by Masashi Mori
This network shows the impact of papers produced by Masashi Mori. 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 Masashi Mori. The network helps show where Masashi Mori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masashi Mori, 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 | 2021 | 16 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 11 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 63 | |
| 8 | 2014 | 43 | |
| 9 | 2013 | 2 | |
| 10 | 2012 | 98 | |
| 11 | 2011 | 52 | |
| 12 | A novel mechanism of intracellular transport: sieving by an anchored homogeneously contracting F-actin meshwork | 2011 | 3 |
| 13 | 2010 | 10 | |
| 14 | 2009 | 21 | |
| 15 | 2006 | 34 | |
| 16 | 2002 | 167 | |
| 17 | 2002 | 3 | |
| 18 | 2002 | 1 |
About Masashi Mori
Masashi Mori is a scholar working on Cell Biology, Aging and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 615 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Reproductive Biology and Fertility (7 papers), Cellular Mechanics and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Nuclear Structure and Function (3 papers), Pluripotent Stem Cells Research (2 papers), Prenatal Screening and Diagnostics (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (36 citations), Cell Biology (264 citations) and Biophysics (47 citations). Masashi Mori has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Péter Lénárt, Takeo Kishimoto, Kazunori Tachibana, Nilah Monnier, Mark Bathe, Eiichi Okumura, Shinichiro Hanada, Hitoshi Yoshida, Takeshi Fukuhara and Jun He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
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.