Asuka Morizane

8.7k citations
62 papers · 5.9k indexed · 3 hit papers · h-index 31
Topics
Pluripotent Stem Cells Research (40 papers)CRISPR and Genetic Engineering (21 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)
Partner nations
JapanSwedenUnited States

In The Last Decade

Asuka Morizane

62 papers receiving 5.8k citations

Hit Papers

A more efficient method to generate integration-free huma...20112026201620212011201720144008001.2k

Peers

Asuka Morizane
Comparison fields: 5 of 109
  • Molecular Biology 4.7k
  • Cellular and Molecular Neuroscience 1.8k
  • Developmental Neuroscience 965
  • Surgery 805
  • Biomedical Engineering 715
Replace Yohei Okada with:
Yohei Okada Japan
Alison C. Lloyd United Kingdom
Frank Soldner United States
Jan Pruszak Germany
Su‐Chun Zhang United States
John T. Dimos United States
Stuart M. Chambers United States
Su-Chun Zhang United States
Malin Parmar Sweden
Oliver Brüstle Germany
Asuka Morizane relative to Yohei Okada Japan Yohei Okada's profile →
Citations per field
00.5×1.7×
Yohei Okada · 1×
Citations per year

Countries citing papers authored by Asuka Morizane

Since Specialization
Citations

This map shows the geographic impact of Asuka Morizane'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 Asuka Morizane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asuka Morizane more than expected).

Fields of papers citing papers by Asuka Morizane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asuka Morizane. 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 Asuka Morizane. The network helps show where Asuka Morizane may publish in the future.

Co-authorship network of co-authors of Asuka Morizane

This figure shows the co-authorship network connecting the top 25 collaborators of Asuka Morizane. A scholar is included among the top collaborators of Asuka Morizane 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 Asuka Morizane. Asuka Morizane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 22
3 7
4 13
5 38
6 11
7 223
8 7
9 183
10 1
11 72
12 321
13
A novel efficient feeder-free culture system for the derivation of human induced pluripotent stem cellsbreakdown →
480
14 31
15 32
16 35
17 59
18 52
19 48
20 49

About Asuka Morizane

Asuka Morizane is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 62 papers that have together received 5.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (40 papers), CRISPR and Genetic Engineering (21 papers) and Neurogenesis and neuroplasticity mechanisms (17 papers). The work is most often cited by research in Developmental Neuroscience (965 citations), Cellular and Molecular Neuroscience (1.8k citations) and Molecular Biology (4.7k citations). Asuka Morizane has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Jun Takahashi, Daisuke Doi, Masato Nakagawa, Tetsuhiro Kikuchi, Shinya Yamanaka, Keisuke Okita, Jun Takahashi, Yoshiko Sato, Yoshiki Sasai and Takuya Hayashi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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