Mika Soen
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Single-cell and spatial transcriptomics
Papers in
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- Pluripotent Stem Cells Research 5
- Epigenetics and DNA Methylation 1
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Yoshiki Sasai (3 shared papers)Taisuke Kadoshima (3 shared papers)Hideya Sakaguchi (2 shared papers)Mototsugu Eiraku (2 shared papers)Tokushige Nakano (3 shared papers)Satoshi Ando (1 shared paper)Masatoshi Ohgushi (2 shared papers)Yoshihito Ishida (1 shared paper)
- Journals
- Nature (1 paper)Frontiers in Endocrinology (1 paper)Journal of Hepatology (1 paper)Endocrinology (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mika Soen
6 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Developmental Neuroscience 406
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 298
- Aging 25
- Biomedical Engineering 458
Countries citing papers authored by Mika Soen
This map shows the geographic impact of Mika Soen'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 Mika Soen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Soen more than expected).
Fields of papers citing papers by Mika Soen
This network shows the impact of papers produced by Mika Soen. 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 Mika Soen. The network helps show where Mika Soen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika Soen, 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 | Self-organization of axial polarity, inside-out layer pattern, and species-specific progenitor dynamics in human ES cell–derived neocortex Hit paper breakdown → | 2013 | 721 |
| 2 | 2015 | 375 | |
| 3 | 2011 | 352 | |
| 4 | 2019 | 14 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2025 | 0 |
About Mika Soen
Mika Soen is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering and Surgery, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neural Engineering (2 papers), 3D Printing in Biomedical Research (2 papers), Epigenetics and DNA Methylation (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (406 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (298 citations), Aging (25 citations) and Biomedical Engineering (458 citations). Mika Soen has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiki Sasai, Taisuke Kadoshima, Hideya Sakaguchi, Mototsugu Eiraku, Tokushige Nakano, Satoshi Ando, Masatoshi Ohgushi, Yoshihito Ishida, Nobuhiro Narii and Jun Takahashi. Their work appears in journals such as Nature, Frontiers in Endocrinology, Journal of Hepatology, Endocrinology and Nature 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.