Masako Hasebe

2.5k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Masako Hasebe is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Masako Hasebe has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Masako Hasebe's work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Extracellular vesicles in disease (3 papers). Masako Hasebe is often cited by papers focused on Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Extracellular vesicles in disease (3 papers). Masako Hasebe collaborates with scholars based in Japan, United States and Taiwan. Masako Hasebe's co-authors include Masaru Tomita, Shunichi Kosugi, Hiroshi Yanagawa, Etsuko Miyamoto‐Sato, Nobutaka Matsumura, Hideaki Takashima, Tetsuyuki Entani, Seiji Takayama, Tomoyoshi Soga and Akiyoshi Hirayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Masako Hasebe

15 papers receiving 1.8k citations

Hit Papers

Systematic identification of cell cycle-dependent yeast n... 2009 2026 2014 2020 2009 250 500 750

Peers

Masako Hasebe
Comparison fields: 5 of 91
  • Molecular Biology 1.4k
  • Plant Science 417
  • Cell Biology 170
  • Genetics 168
  • Immunology 129
Replace Sergey E. Dmitriev with:
Sergey E. Dmitriev Russia
Dmitry E. Andreev Russia
Cheng Wu United States
Corrado Guarnaccia Italy
J. Schultz Germany
Katja Schwartz United States
David E. Weinberg United States
Jomon Joseph India
Yueyuan Zheng China
Gary Loughran Ireland
Sergey E. Dmitriev Russia View profile →
Citations per field, relative to Masako Hasebe
Masako Hasebe · 1×
Citations per year, relative to Masako Hasebe
Masako Hasebe · 1×

Countries citing papers authored by Masako Hasebe

Since Specialization
Citations

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

Fields of papers citing papers by Masako Hasebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Hasebe

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 6
2 1
3 7
4 23
5 28
6 17
7 18
8 19
9
Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs breakdown →
949
10 180
11 450
12 111
13 18
14 2
15 5

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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