Keiko Muguruma

8.7k citations
55 papers · 6.5k indexed · 4 hit papers · h-index 22
Topics
Pluripotent Stem Cells Research (21 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)3D Printing in Biomedical Research (8 papers)

In The Last Decade

Keiko Muguruma

53 papers receiving 6.4k citations

Hit Papers

A ROCK inhibitor permits survival of dissociated human em...2007202620132019200720082012201550010001.5k

Peers

Keiko Muguruma
Comparison fields: 5 of 122
  • Molecular Biology 5.2k
  • Biomedical Engineering 1.8k
  • Cellular and Molecular Neuroscience 1.5k
  • Developmental Neuroscience 1.1k
  • Surgery 689
Replace Ayaka Nishiyama with:
Ayaka Nishiyama Japan
Tessa Homfray United Kingdom
Carol-Anne Martin United Kingdom
Mark Tomishima United States
Louise S. Bicknell New Zealand
Edwin S. Monuki United States
Jun Takahashi Japan
Magdalena Renner Austria
Eirini P. Papapetrou United States
Stuart M. Chambers United States
Keiko Muguruma relative to Ayaka Nishiyama Japan Ayaka Nishiyama's profile →
Citations per field
00.5×1.5×
Ayaka Nishiyama · 1×
Citations per year

Countries citing papers authored by Keiko Muguruma

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Muguruma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Muguruma

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Muguruma. A scholar is included among the top collaborators of Keiko Muguruma 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 Keiko Muguruma. Keiko Muguruma 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 2
3 7
4 1
5 3
6 40
7 20
8 79
9 21
10 77
11 336
12 55
13 42
14 82
15 3
16 11
17 3
18 4
19 5
20 1

About Keiko Muguruma

Keiko Muguruma is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 55 papers that have together received 6.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), Neurogenesis and neuroplasticity mechanisms (17 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (1.5k citations) and Molecular Biology (5.2k citations). Keiko Muguruma has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoshiki Sasai, Ayaka Nishiyama, Kiichi Watanabe, Takafumi Wataya, Michiru Matsumura, Mototsugu Eiraku, Masako Kawada, Shigenobu Yonemura, Morio Ueno and Jun Takahashi. 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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