Yukihiro Yabuta

7.5k citations
58 papers · 5.0k indexed · h-index 33
Topics
Pluripotent Stem Cells Research (33 papers)CRISPR and Genetic Engineering (22 papers)Epigenetics and DNA Methylation (15 papers)
Partner nations
JapanUnited StatesIran

In The Last Decade

Yukihiro Yabuta

56 papers receiving 4.9k citations

Peers

Yukihiro Yabuta
Comparison fields: 5 of 111
  • Molecular Biology 4.4k
  • Genetics 1.4k
  • Public Health, Environmental and Occupational Health 1.1k
  • Reproductive Medicine 461
  • Surgery 303
Replace Toshiaki Noce with:
Toshiaki Noce Japan
Masami Nozaki Japan
Kazuyuki Ohbo Japan
Christer Höög Sweden
Michele Boiani Germany
Lynda K. McGinnis United States
Katia Ancelin France
William M. Rideout United States
Shinichiro Chuma Japan
Ayako Isotani Japan
Yukihiro Yabuta relative to Toshiaki Noce Japan Toshiaki Noce's profile →
Citations per field
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Toshiaki Noce · 1×
Citations per year

Countries citing papers authored by Yukihiro Yabuta

Since Specialization
Citations

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

Fields of papers citing papers by Yukihiro Yabuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukihiro Yabuta

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihiro Yabuta. A scholar is included among the top collaborators of Yukihiro Yabuta 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 Yukihiro Yabuta. Yukihiro Yabuta 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 2
2 14
3 18
4 16
5 103
6 78
7 44
8 2
9 211
10 85
11 99
12 101
13 123
14 187
15 90
16 46
17
Conditional knockdown of Nanog induces apoptotic cell death in mouse migrating primordial germ cells
6
18 267
19 11
20 210

About Yukihiro Yabuta

Yukihiro Yabuta is a scholar working on Molecular Biology, Biotechnology and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (33 papers), CRISPR and Genetic Engineering (22 papers) and Epigenetics and DNA Methylation (15 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Reproductive Medicine (461 citations) and Genetics (1.4k citations). Yukihiro Yabuta has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Mitinori Saitou, Kazuki Kurimoto, Takuya Yamamoto, Tomonori Nakamura, Hiroshi Ohta, Yasuhide Ohinata, Katsuhiko Hayashi, Yoshiyuki Seki, Masashi Yamaji and Mayo Shigeta. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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