Hideki Masaki

2.2k total citations
34 papers, 1.2k citations indexed

About

Hideki Masaki is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Hideki Masaki has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Genetics. Recurrent topics in Hideki Masaki's work include Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (10 papers). Hideki Masaki is often cited by papers focused on Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (10 papers). Hideki Masaki collaborates with scholars based in Japan, United States and India. Hideki Masaki's co-authors include Hiromitsu Nakauchi, Tomoyuki Yamaguchi, Hideyuki Sato, Hiroyuki Ide, Toshihiro Kobayashi, Ayumi Umino, Masumi Hirabayashi, Satoshi Yamazaki, Makoto Otsu and Sanae Hamanaka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Hideki Masaki

32 papers receiving 1.2k citations

Peers

Hideki Masaki
Comparison fields: 5 of 91
  • Molecular Biology 998
  • Surgery 332
  • Genetics 214
  • Biomedical Engineering 124
  • Physiology 115
Replace Robert D. Sampson with:
Robert D. Sampson United Kingdom
Duncan Baker United Kingdom
Cantas Alev Japan
Lars Martin Jakt Japan
Jessica Tebbets United States
Albert Cheng United States
Hyun Soo Yoon South Korea
Kath Smith United Kingdom
Nicole Dünker Germany
Ras Trokovic Finland
Robert D. Sampson United Kingdom View profile →
Citations per field, relative to Hideki Masaki
Hideki Masaki · 1×
Citations per year, relative to Hideki Masaki
Hideki Masaki · 1×

Countries citing papers authored by Hideki Masaki

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Masaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Masaki

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Masaki. A scholar is included among the top collaborators of Hideki Masaki 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 Hideki Masaki. Hideki Masaki 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 1
2 0
3 0
4 11
5 40
6 47
7 18
8 15
9 76
10 47
11 193
12 12
13 7
14 10
15 169
16 25
17 11
18 63
19 63
20 23

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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