Keiko Yasuda

3.4k citations
98 papers · 2.6k indexed · 3 hit papers · h-index 28
Topics
Reproductive System and Pregnancy (11 papers)Reproductive Physiology in Livestock (9 papers)Molecular Sensors and Ion Detection (9 papers)

In The Last Decade

Keiko Yasuda

94 papers receiving 2.6k citations

Hit Papers

The pathogenicity of Th17 cells in autoimmune diseases2016202620192022201920162018100200300400

Peers

Keiko Yasuda
Comparison fields: 5 of 141
  • Immunology 1.0k
  • Molecular Biology 707
  • Agronomy and Crop Science 283
  • Public Health, Environmental and Occupational Health 277
  • Genetics 232
Replace Fumio Sakiyama with:
Fumio Sakiyama Japan
Wen‐Chao Song United States
Luc Camoin France
Kari K. Eklund Finland
Zuben E. Sauna United States
A.E. Bolton United Kingdom
Michael T. Overgaard Denmark
Tamao Endo Japan
Bernard Rossi France
Toni Antalis United States
Keiko Yasuda relative to Fumio Sakiyama Japan Fumio Sakiyama's profile →
Citations per field
00.5×5.3×
Fumio Sakiyama · 1×
Citations per year

Countries citing papers authored by Keiko Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Yasuda. A scholar is included among the top collaborators of Keiko Yasuda 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 Yasuda. Keiko Yasuda 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 3
2 14
3 2
4 0
5 1
6 13
7 12
8 12
9 8
10
Guidance of regulatory T cell development by Satb1-dependent super-enhancer establishmentbreakdown →
262
11 22
12 8
13 22
14 2
15 13
16 51
17 1
18 45
19 36
20 46

About Keiko Yasuda

Keiko Yasuda is a scholar working on Nephrology, Structural Biology and Agronomy and Crop Science, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Reproductive Physiology in Livestock (9 papers) and Molecular Sensors and Ion Detection (9 papers). The work is most often cited by research in Immunology (1.0k citations), Agronomy and Crop Science (283 citations) and Reproductive Medicine (184 citations). Keiko Yasuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keiji Hirota, Yusuke Takeuchi, Masatsune Fukuoka, Shunzo Taii, Yoshitaka Isaka, Kenji Takakura, Hiromi Rakugi, Satoshi Tamotsu, Terumasa Hayashi and Tomonori Kimura. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Immunity.

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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