Hiroki Umeshima
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
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- Nuclear Structure and Function 2
- RNA regulation and disease 2
- Signaling Pathways in Disease 1
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- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 4
- Co-authors
- Mineko Kengaku (11 shared papers)Tomoo Hirano (3 shared papers)Mototsugu Eiraku (1 shared paper)Junko Kurisu (1 shared paper)Yoshinori Fujiyoshi (1 shared paper)Takushi Shimomura (1 shared paper)Yuki Bando (1 shared paper)Katsumasa Irie (1 shared paper)
- Journals
- Molecular and Cellular Neuroscience (2 papers)Developmental Dynamics (1 paper)Nature Medicine (1 paper)Cerebral Cortex (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Hiroki Umeshima
12 papers receiving 402 citations
Peers
Comparison fields: 5 of 57
- Developmental Neuroscience 112
- Cell Biology 187
- Cellular and Molecular Neuroscience 137
- Molecular Biology 236
- Aging 3
Countries citing papers authored by Hiroki Umeshima
This map shows the geographic impact of Hiroki Umeshima'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 Hiroki Umeshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Umeshima more than expected).
Fields of papers citing papers by Hiroki Umeshima
This network shows the impact of papers produced by Hiroki Umeshima. 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 Hiroki Umeshima. The network helps show where Hiroki Umeshima may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroki Umeshima, 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 | 2007 | 136 | |
| 2 | 2014 | 60 | |
| 3 | 2009 | 49 | |
| 4 | 2003 | 38 | |
| 5 | 2015 | 35 | |
| 6 | 2018 | 31 | |
| 7 | 2015 | 19 | |
| 8 | 2014 | 15 | |
| 9 | 2018 | 12 | |
| 10 | 2012 | 10 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2014 | 0 |
About Hiroki Umeshima
Hiroki Umeshima is a scholar working on Molecular Biology, Cell Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 407 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Microtubule and mitosis dynamics (4 papers), Nuclear Structure and Function (2 papers), Force Microscopy Techniques and Applications (2 papers), RNA regulation and disease (2 papers), Signaling Pathways in Disease (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Developmental Neuroscience (112 citations), Cell Biology (187 citations), Cellular and Molecular Neuroscience (137 citations), Molecular Biology (236 citations) and Aging (3 citations). Hiroki Umeshima has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Mineko Kengaku, Tomoo Hirano, Mototsugu Eiraku, Junko Kurisu, Yoshinori Fujiyoshi, Takushi Shimomura, Yuki Bando, Katsumasa Irie, Yoshiaki Tagawa and Daisuke Mori. Their work appears in journals such as Molecular and Cellular Neuroscience, Developmental Dynamics, Nature Medicine, Cerebral Cortex and Acta Neuropathologica 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.