Kei Yamaya

1.3k citations
8 papers · 798 indexed · 1 hit paper · h-index 7
Topics
CRISPR and Genetic Engineering (4 papers)DNA Repair Mechanisms (4 papers)Cytokine Signaling Pathways and Interactions (2 papers)

In The Last Decade

Kei Yamaya

8 papers receiving 789 citations

Hit Papers

Super-resolution chromatin tracing reveals domains and co...20182026202020232018200400600

Peers

Kei Yamaya
Comparison fields: 5 of 54
  • Molecular Biology 749
  • Plant Science 205
  • Genetics 81
  • Biophysics 65
  • Cell Biology 45
Replace Andrew Seeber with:
Andrew Seeber Switzerland
Judith Miné-Hattab France
Kikuë Tachibana-Konwalski United Kingdom
Adrien Senecal United States
Lakxmi Subramanian United States
Leslie J. Mateo United States
Ana Agostinho Sweden
Madeline M Keenen United States
Lutz R. Gehlen Switzerland
Debbie Wei United States
Kei Yamaya relative to Andrew Seeber Switzerland Andrew Seeber's profile →
Citations per field
00.5×1.5×2.1×
Andrew Seeber · 1×
Citations per year

Countries citing papers authored by Kei Yamaya

Since Specialization
Citations

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

Fields of papers citing papers by Kei Yamaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Yamaya

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 10
2 1
3 17
4 36
5
Super-resolution chromatin tracing reveals domains and cooperative interactions in single cellsbreakdown →
636
6 14
7 45
8 39

About Kei Yamaya

Kei Yamaya is a scholar working on Aging, Molecular Biology and Oncology, having authored 8 papers that have together received 798 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (4 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Aging (26 citations), Structural Biology (20 citations) and Biophysics (65 citations). Kei Yamaya has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Alistair N. Boettiger, Seon Kinrot, Nicholas A. Sinnott‐Armstrong, Xiaowei Zhuang, Leslie J. Mateo, Jun-Han Su, Bogdan Bintu, Stanislav Y. Shvartsman, Yogesh Goyal and Alexander Woglar. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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