Masatake Araki

3.0k total citations
71 papers, 2.0k citations indexed

About

Masatake Araki is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Masatake Araki has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Immunology. Recurrent topics in Masatake Araki's work include CRISPR and Genetic Engineering (13 papers), Cell Adhesion Molecules Research (8 papers) and Pluripotent Stem Cells Research (6 papers). Masatake Araki is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Cell Adhesion Molecules Research (8 papers) and Pluripotent Stem Cells Research (6 papers). Masatake Araki collaborates with scholars based in Japan, United States and United Kingdom. Masatake Araki's co-authors include Kimi Araki, K Yamamura, Ken–ichi Yamamura, Tomohisa Sekimoto, Tomomi Gotoh, Masataka Mori, Ken‐ichi Yamamura, Kumiko Yoshinobu, P Vassalli and Katsumasa Takagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Masatake Araki

70 papers receiving 2.0k citations

Peers

Masatake Araki
Comparison fields: 5 of 107
  • Molecular Biology 1.3k
  • Genetics 364
  • Immunology 264
  • Surgery 243
  • Oncology 204
Replace Radislav Sedláček with:
Radislav Sedláček Czechia
Jan Parker‐Thornburg United States
Domènec Farré Spain
Si‐Tse Jiang Taiwan
Chang‐Yeol Yeo South Korea
Pradeep Reddy United States
Yoshihiko Araki Japan
Siu‐Pok Yee United States
Xiushan Wu China
Michèle Sawadogo United States
Radislav Sedláček Czechia View profile →
Citations per field, relative to Masatake Araki
Masatake Araki · 1×
Citations per year, relative to Masatake Araki
Masatake Araki · 1×

Countries citing papers authored by Masatake Araki

Since Specialization
Citations

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

Fields of papers citing papers by Masatake Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatake Araki

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 2
3 5
4 10
5 20
6 15
7 83
8 40
9 13
10 11
11 5
12 21
13 12
14 12
15 44
16 49
17 46
18 77
19 187
20 22

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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