Mikako Sasaki

1.5k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 9
Topics
Wound Healing and Treatments (4 papers)Immunotherapy and Immune Responses (3 papers)Cancer Cells and Metastasis (3 papers)

In The Last Decade

Mikako Sasaki

11 papers receiving 1.1k citations

Hit Papers

Mesenchymal Stem Cells Are Recruited into Wounded Skin an...20082026201420202008250500750

Peers

Mikako Sasaki
Comparison fields: 5 of 82
  • Genetics 592
  • Rehabilitation 432
  • Molecular Biology 297
  • Surgery 207
  • Oncology 206
Replace Daisuke Inokuma with:
Daisuke Inokuma Japan
Emily R. Nelson United States
Philip Yuguang Wu China
Satori Iwamoto United States
David Shrayer United States
Yasuyuki Takaki Japan
Nicolas O. Fortunel France
Josemaria Paterno United States
Felicia Ng United Kingdom
Sabine François France
Mikako Sasaki relative to Daisuke Inokuma Japan Daisuke Inokuma's profile →
Citations per field
00.5×1.5×
Daisuke Inokuma · 1×
Citations per year

Countries citing papers authored by Mikako Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Mikako Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikako Sasaki

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
This information is current as Skin Cell Type Repair by Transdifferentiation into Multiple Wounded Skin and Contribute to Wound Mesenchymal Stem Cells Are Recruited into
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2 64
3 59
4 48
5 26
6 16
7 8
8 42
9
Mesenchymal Stem Cells Are Recruited into Wounded Skin and Contribute to Wound Repair by Transdifferentiation into Multiple Skin Cell Typebreakdown →
789
10 34
11 75

About Mikako Sasaki

Mikako Sasaki is a scholar working on Rehabilitation, Immunology and Genetics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Rehabilitation (432 citations), Genetics (592 citations) and Urology (101 citations). Mikako Sasaki has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Riichiro Abe, Hiroshi Shimizu, Yasuyuki Fujita, Daisuke Inokuma, Satomi Ando, Tadamichi Shimizu, Yoshimi Arima, Hidemi Hayashi, Hideyuki Saya and Hideki Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

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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