Mika Soen

2.1k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

Mika Soen is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mika Soen has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mika Soen's work include Pluripotent Stem Cells Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and 3D Printing in Biomedical Research (2 papers). Mika Soen is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and 3D Printing in Biomedical Research (2 papers). Mika Soen collaborates with scholars based in Japan and United States. Mika Soen's co-authors include Yoshiki Sasai, Taisuke Kadoshima, Mototsugu Eiraku, Hideya Sakaguchi, Tokushige Nakano, Satoshi Ando, Masatoshi Ohgushi, Nobuhiro Narii, Jun Takahashi and Yoshihito Ishida and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mika Soen

6 papers receiving 1.5k citations

Hit Papers

Self-organization of axial polarity, inside-out layer pat... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mika Soen Japan 6 1.1k 458 406 298 107 7 1.5k
Taisuke Kadoshima Japan 8 1.3k 1.2× 500 1.1× 458 1.1× 343 1.2× 153 1.4× 11 1.7k
Abed AlFatah Mansour United States 10 1.1k 1.0× 388 0.8× 307 0.8× 312 1.0× 166 1.6× 12 1.6k
Nina S. Corsini Austria 9 855 0.8× 357 0.8× 299 0.7× 278 0.9× 156 1.5× 10 1.3k
Amanda J. Kedaigle United States 11 865 0.8× 269 0.6× 241 0.6× 243 0.8× 80 0.7× 14 1.3k
Sabina Kanton Germany 12 1.7k 1.5× 455 1.0× 396 1.0× 282 0.9× 216 2.0× 13 2.2k
Omer Revah United States 12 1.2k 1.0× 544 1.2× 409 1.0× 498 1.7× 107 1.0× 18 1.8k
Cooper W Bloyd United States 3 619 0.5× 311 0.7× 261 0.6× 262 0.9× 66 0.6× 3 971
Bruna Paulsen Brazil 9 823 0.7× 283 0.6× 221 0.5× 207 0.7× 95 0.9× 15 1.1k
Daphne Quang United States 4 629 0.6× 337 0.7× 239 0.6× 234 0.8× 51 0.5× 5 1.0k
Alfred Xuyang Sun Singapore 11 1.2k 1.1× 270 0.6× 258 0.6× 355 1.2× 130 1.2× 28 1.6k

Countries citing papers authored by Mika Soen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mika Soen

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Soen. A scholar is included among the top collaborators of Mika Soen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mika Soen. Mika Soen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Yoneyama, Yosuke, Mika Soen, M Kumagai, et al.. (2025). Reversal of ACLF and ALF using whole blood extracorporeal system combining HLA-depleted liver organoids with granulocyte-monocyte apheresis. Journal of Hepatology. 84(2). 293–307.
2.
Suga, Hidetaka, Mika Soen, Takashi Miyata, et al.. (2023). Generation of hypothalamic neural stem cell-like cells in vitro from human pluripotent stem cells. Stem Cell Reports. 18(4). 869–883. 8 indexed citations
3.
Suga, Hidetaka, Kazuhito Takeuchi, Yuichi Nagata, et al.. (2023). Subcutaneous transplantation of human embryonic stem cells-derived pituitary organoids. Frontiers in Endocrinology. 14. 1130465–1130465. 6 indexed citations
4.
Suga, Hidetaka, Takeshi Ishihara, Mika Soen, et al.. (2019). Tanycyte-Like Cells Derived From Mouse Embryonic Stem Culture Show Hypothalamic Neural Stem/Progenitor Cell Functions. Endocrinology. 160(7). 1701–1718. 14 indexed citations
5.
Sakaguchi, Hideya, Taisuke Kadoshima, Mika Soen, et al.. (2015). Generation of functional hippocampal neurons from self-organizing human embryonic stem cell-derived dorsomedial telencephalic tissue. Nature Communications. 6(1). 8896–8896. 375 indexed citations
6.
Kadoshima, Taisuke, Hideya Sakaguchi, Tokushige Nakano, et al.. (2013). Self-organization of axial polarity, inside-out layer pattern, and species-specific progenitor dynamics in human ES cell–derived neocortex. Proceedings of the National Academy of Sciences. 110(50). 20284–20289. 721 indexed citations breakdown →
7.
Suga, Hidetaka, Taisuke Kadoshima, Masatoshi Ohgushi, et al.. (2011). Self-formation of functional adenohypophysis in three-dimensional culture. Nature. 480(7375). 57–62. 352 indexed citations

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.

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