Aisa Sakaguchi

1.1k total citations · 1 hit paper
7 papers, 751 citations indexed

About

Aisa Sakaguchi is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Aisa Sakaguchi has authored 7 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Aging and 4 papers in Plant Science. Recurrent topics in Aisa Sakaguchi's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Aisa Sakaguchi is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (3 papers) and Chromosomal and Genetic Variations (3 papers). Aisa Sakaguchi collaborates with scholars based in Japan, United Kingdom and United States. Aisa Sakaguchi's co-authors include Leonard D. Goldstein, Peter Sarkies, Eric A. Miska, Anna-Lisa Doebley, Shawn Ahmed, Jacinth Mitchell, Amy Cording, Alexandra Sapetschnig, Eva‐Maria Weick and Nicolas J. Lehrbach and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Developmental Cell.

In The Last Decade

Aisa Sakaguchi

7 papers receiving 745 citations

Hit Papers

piRNAs Can Trigger a Multigenerational Epigenetic Memory ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers

Aisa Sakaguchi
Comparison fields: 5 of 62
  • Molecular Biology 615
  • Aging 335
  • Plant Science 240
  • Genetics 103
  • Cancer Research 53
Replace Anna-Lisa Doebley with:
Anna-Lisa Doebley United States
Julie Ni United States
Sudhir Nayak United States
Dustin L. Updike United States
Monique Zetka Canada
Bluma J. Lesch United States
Christopher M. Hammell United States
Sevinç Ercan United States
Jeb Gaudet Canada
Jacinth Mitchell United States
Anna-Lisa Doebley United States View profile →
Citations per field, relative to Aisa Sakaguchi
Aisa Sakaguchi · 1×
Citations per year, relative to Aisa Sakaguchi
Aisa Sakaguchi · 1×

Countries citing papers authored by Aisa Sakaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Aisa Sakaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aisa Sakaguchi

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 2
2 4
3 44
4 95
5 31
6
piRNAs Can Trigger a Multigenerational Epigenetic Memory in the Germline of C. elegans breakdown →
521
7 54

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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