Masahiro Ebe

627 citations
12 papers · 502 · h-index 10

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • Fungal and yeast genetics research 4
    • RNA Research and Splicing 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Polyamine Metabolism and Applications 2
    • RNA and protein synthesis mechanisms 1
    • Microtubule and mitosis dynamics 3

Masahiro Ebe

12 papers receiving 501 citations

Peers

Masahiro Ebe
Comparison fields: 5 of 57
  • Aging 16
  • Cell Biology 135
  • Molecular Biology 444
  • Geriatrics and Gerontology 17
  • Plant Science 119
Replace Keyur K. Adhvaryu with:
Keyur K. Adhvaryu United States
George W. Templeton Canada
Evelyn Welter Germany
Edith Bogengruber Austria
Adrianna Skoneczna Poland
Nicolas Talarek France
Xuxin Liu China
Jane E. Leadsham United Kingdom
Doris Ruli Austria
Ingrid Bhatia Kiššová Slovakia
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Citations per field
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Keyur K. Adhvaryu · 1×
Citations per year

Countries citing papers authored by Masahiro Ebe

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Ebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Masahiro Ebe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masahiro Ebe Line = papers co-authored together Masahiro Ebe links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007164
2 200866
3 200962
4 201146
5 201444
6 201431
7 201430
8 201120
9 200818
10 201910
11 20148
12 20183

About Masahiro Ebe

Masahiro Ebe is a scholar working on Molecular Biology, Cell Biology, Plant Science, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 12 papers that have together received 502 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Fungal and yeast genetics research (4 papers), Microtubule and mitosis dynamics (3 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Polyamine Metabolism and Applications (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (16 citations), Cell Biology (135 citations), Molecular Biology (444 citations), Geriatrics and Gerontology (17 citations) and Plant Science (119 citations). Masahiro Ebe has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsuhiro Yanagida, Koji Nagao, Aya Kokubu, Takeshi Hayashi, Norihiko Nakazawa, Yukinobu Nakaseko, Junko Kanoh, Takahiro Nakamura, Rajesh Mehrotra and Romanas Chaleckis. Their work appears in journals such as Genes to Cells, Open Biology, PLoS ONE, The Journal of Cell Biology and Molecular BioSystems.

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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