Masahiro Ebe

620 total citations
12 papers, 486 citations indexed

About

Masahiro Ebe is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Masahiro Ebe has authored 12 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Plant Science. Recurrent topics in Masahiro Ebe's work include Genomics and Chromatin Dynamics (6 papers), Fungal and yeast genetics research (5 papers) and Microtubule and mitosis dynamics (3 papers). Masahiro Ebe is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Fungal and yeast genetics research (5 papers) and Microtubule and mitosis dynamics (3 papers). Masahiro Ebe collaborates with scholars based in Japan and United States. Masahiro Ebe's co-authors include Mitsuhiro Yanagida, Aya Kokubu, Koji Nagao, Takeshi Hayashi, Norihiko Nakazawa, Yukinobu Nakaseko, Junko Kanoh, Takahiro Nakamura, Rajesh Mehrotra and Tomáš Pluskal and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Masahiro Ebe

12 papers receiving 485 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masahiro Ebe Japan 10 442 135 122 27 26 12 486
Kojiro Takeda Japan 12 452 1.0× 151 1.1× 69 0.6× 18 0.7× 15 0.6× 19 526
F Dubouloz Switzerland 6 714 1.6× 181 1.3× 133 1.1× 62 2.3× 23 0.9× 12 833
Jane E. Leadsham United Kingdom 9 327 0.7× 100 0.7× 42 0.3× 18 0.7× 44 1.7× 9 442
Edith Bogengruber Austria 12 442 1.0× 80 0.6× 84 0.7× 8 0.3× 38 1.5× 14 522
Gonghong Yan United States 11 325 0.7× 88 0.7× 71 0.6× 50 1.9× 14 0.5× 15 385
Doris Ruli Austria 4 361 0.8× 88 0.7× 48 0.4× 10 0.4× 25 1.0× 5 435
Núria Vall‐llaura Spain 11 195 0.4× 101 0.7× 191 1.6× 13 0.5× 22 0.8× 25 408
Nicolas Talarek France 13 661 1.5× 154 1.1× 69 0.6× 19 0.7× 62 2.4× 17 720
Xuxin Liu China 7 196 0.4× 44 0.3× 102 0.8× 17 0.6× 25 1.0× 11 356
Vidhya Ramachandran United States 8 449 1.0× 160 1.2× 57 0.5× 27 1.0× 37 1.4× 9 602

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-authorship network of co-authors of Masahiro Ebe

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

All Works

12 of 12 papers shown
1.
Nakazawa, Norihiko, et al.. (2019). Casein kinase II–dependent phosphorylation of DNA topoisomerase II suppresses the effect of a catalytic topo II inhibitor, ICRF-193, in fission yeast. Journal of Biological Chemistry. 294(10). 3772–3782. 9 indexed citations
2.
Villar‐Briones, Alejandro, Tomáš Pluskal, Takayuki Teruya, et al.. (2018). Genetic defects in SAPK signalling, chromatin regulation, vesicle transport and CoA-related lipid metabolism are rescued by rapamycin in fission yeast. Open Biology. 8(3). 3 indexed citations
3.
Chaleckis, Romanas, Masahiro Ebe, Tomáš Pluskal, et al.. (2014). Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites. Molecular BioSystems. 10(10). 2538–2551. 44 indexed citations
4.
Murakami, Itsuo, Romanas Chaleckis, Tomáš Pluskal, et al.. (2014). Metabolism of Skin-Absorbed Resveratrol into Its Glucuronized Form in Mouse Skin. PLoS ONE. 9(12). e115359–e115359. 28 indexed citations
6.
Kanai, R., et al.. (2014). ATPase-dependent auto-phosphorylation of the open condensin hinge diminishes DNA binding. Open Biology. 4(12). 140193–140193. 8 indexed citations
7.
Nakazawa, Norihiko, Rajesh Mehrotra, Masahiro Ebe, & Mitsuhiro Yanagida. (2011). Condensin phosphorylated by the Aurora-B-like kinase Ark1 is continuously required until telophase in a mode distinct from Top2. Journal of Cell Science. 124(11). 1795–1807. 46 indexed citations
8.
9.
Imai, Kumiko, Yosuke Kawasaki, Takahiro Nakamura, et al.. (2009). Schizosaccharomyces pombe cell division cycle under limited glucose requires Ssp1 kinase, the putative CaMKK, and Sds23, a PP2A‐related phosphatase inhibitor. Genes to Cells. 14(5). 539–554. 60 indexed citations
11.
Nakazawa, Norihiko, Takahiro Nakamura, Aya Kokubu, et al.. (2008). Dissection of the essential steps for condensin accumulation at kinetochores and rDNAs during fission yeast mitosis. The Journal of Cell Biology. 180(6). 1115–1131. 65 indexed citations
12.
Hayashi, Takeshi, Koji Nagao, Yukinobu Nakaseko, et al.. (2007). Rapamycin sensitivity of the Schizosaccharomyces pombe tor2 mutant and organization of two highly phosphorylated TOR complexes by specific and common subunits. Genes to Cells. 12(12). 1357–1370. 155 indexed citations

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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