Daisuke Mori
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
-
- Congenital heart defects research 11
- Pluripotent Stem Cells Research 9
- Genetics 22
- Genetics and Neurodevelopmental Disorders 15
- Co-authors
- Shinji Hirotsune (9 shared papers)Anthony Wynshaw‐Boris (8 shared papers)Taku Saito (19 shared papers)Fumiko Yano (18 shared papers)Sakae Tanaka (17 shared papers)Ung‐il Chung (13 shared papers)Masami Yamada (5 shared papers)Norio Ozaki (41 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (4 papers)Stem Cell Research (4 papers)Translational Psychiatry (4 papers)NeuroImage (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Daisuke Mori
93 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Developmental Neuroscience 161
- Cell Biology 659
- Rheumatology 402
- Molecular Biology 1.4k
- Genetics 392
Countries citing papers authored by Daisuke Mori
This map shows the geographic impact of Daisuke 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 Daisuke Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Mori more than expected).
Fields of papers citing papers by Daisuke Mori
This network shows the impact of papers produced by Daisuke 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 Daisuke Mori. The network helps show where Daisuke Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke 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
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 235 | |
| 2 | 2008 | 166 | |
| 3 | 2008 | 154 | |
| 4 | 2005 | 138 | |
| 5 | 2006 | 120 | |
| 6 | 2009 | 110 | |
| 7 | 2015 | 85 | |
| 8 | 2016 | 85 | |
| 9 | 2005 | 83 | |
| 10 | 1997 | 79 | |
| 11 | 2015 | 76 | |
| 12 | 2008 | 64 | |
| 13 | 2011 | 61 | |
| 14 | 2018 | 55 | |
| 15 | 2009 | 52 | |
| 16 | 2019 | 52 | |
| 17 | 2009 | 52 | |
| 18 | 2016 | 50 | |
| 19 | 2016 | 47 | |
| 20 | 2019 | 45 |
About Daisuke Mori
Daisuke Mori is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Cell Biology and Rheumatology, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Osteoarthritis Treatment and Mechanisms (11 papers), Congenital heart defects research (11 papers), Microtubule and mitosis dynamics (10 papers), Pluripotent Stem Cells Research (9 papers), Autism Spectrum Disorder Research (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Developmental Neuroscience (161 citations), Cell Biology (659 citations), Rheumatology (402 citations), Molecular Biology (1.4k citations) and Genetics (392 citations). Daisuke Mori has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Shinji Hirotsune, Anthony Wynshaw‐Boris, Taku Saito, Fumiko Yano, Sakae Tanaka, Ung‐il Chung, Masami Yamada, Norio Ozaki, Kazuhito Toyo‐oka and Masami Muramatsu. Their work appears in journals such as PLoS ONE, Scientific Reports, Stem Cell Research, Translational Psychiatry and NeuroImage.
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.