Sho Senda

1.3k citations
11 papers · 953 indexed · 1 hit paper · h-index 8
Topics
Pluripotent Stem Cells Research (6 papers)Epigenetics and DNA Methylation (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Sho Senda

11 papers receiving 924 citations

Hit Papers

A novel efficient feeder-free culture system for the deri...20142026201820222014100200300400

Peers

Sho Senda
Comparison fields: 5 of 73
  • Molecular Biology 815
  • Public Health, Environmental and Occupational Health 241
  • Genetics 202
  • Surgery 135
  • Biomedical Engineering 125
Replace G. Cauffman with:
G. Cauffman Belgium
Frieder Wolf Germany
Mieke Geens Belgium
J. Witmyer United States
Ileana Mateizel Belgium
Mark V. Sauer United States
Tamar Golan‐Lev Israel
Megumi Kato‐Itoh Japan
Liani Devito United Kingdom
Ludmila Ruban United Kingdom
Sho Senda relative to G. Cauffman Belgium G. Cauffman's profile →
Citations per field
00.5×1.5×2.3×
G. Cauffman · 1×
Citations per year

Countries citing papers authored by Sho Senda

Since Specialization
Citations

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

Fields of papers citing papers by Sho Senda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Senda

This figure shows the co-authorship network connecting the top 25 collaborators of Sho Senda. A scholar is included among the top collaborators of Sho Senda 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 Sho Senda. Sho Senda 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 27
2 6
3 6
4
A novel efficient feeder-free culture system for the derivation of human induced pluripotent stem cellsbreakdown →
480
5 14
6 15
7 131
8 24
9 70
10 179
11 1

About Sho Senda

Sho Senda is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 953 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Molecular Biology (815 citations), Public Health, Environmental and Occupational Health (241 citations) and Genetics (202 citations). Sho Senda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Teruhiko Wakayama, Kunio Shiota, Satoshi Tanaka, Jun Ohgane, Ryuzo Yanagimachi, Tarō Toyoda, Tomoko Ichisaka, Masato Nakagawa, Yoshinori Yoshida and Yukimasa Taniguchi. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Stem Cells.

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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