Shuji Saeki

606 total citations
40 papers, 465 citations indexed

About

Shuji Saeki is a scholar working on Electrical and Electronic Engineering, Surgery and Computer Networks and Communications. According to data from OpenAlex, Shuji Saeki has authored 40 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Surgery and 10 papers in Computer Networks and Communications. Recurrent topics in Shuji Saeki's work include Semiconductor materials and devices (11 papers), Advanced Data Storage Technologies (10 papers) and Advanced Memory and Neural Computing (5 papers). Shuji Saeki is often cited by papers focused on Semiconductor materials and devices (11 papers), Advanced Data Storage Technologies (10 papers) and Advanced Memory and Neural Computing (5 papers). Shuji Saeki collaborates with scholars based in Japan, Switzerland and United States. Shuji Saeki's co-authors include Naoki Hirabayashi, Wataru Takiyama, Hidenori Mukaida, Masanori Yoshimitsu, Junya Taomoto, Hiroaki Niitsu, Shigeru Murakami, Takeshi Mimura, Masahiko Nishiyama and T Toge and has published in prestigious journals such as International Journal of Cancer, IEEE Journal of Solid-State Circuits and The American Journal of Surgery.

In The Last Decade

Shuji Saeki

33 papers receiving 446 citations

Peers

Shuji Saeki
Comparison fields: 5 of 89
  • Surgery 218
  • Biomedical Engineering 104
  • Electrical and Electronic Engineering 82
  • Molecular Biology 70
  • Public Health, Environmental and Occupational Health 70
Replace Graham Bell with:
Graham Bell United Kingdom
Chaoqian Liu China
Araki Japan
Marc R. Garfinkel United States
Ishii Ishii Japan
Changxi Chen China
Masashi Fujita Japan
Zhang Ju China
A Hart United Kingdom
Jingxing Li China
Graham Bell United Kingdom View profile →
Citations per field, relative to Shuji Saeki
Shuji Saeki · 1×
Citations per year, relative to Shuji Saeki
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Countries citing papers authored by Shuji Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Shuji Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuji Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Saeki. A scholar is included among the top collaborators of Shuji Saeki 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 Shuji Saeki. Shuji Saeki 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
1 187
2 6
3 1
4 1
5 0
6 0
7 0
8 1
9 0
10 26
11 8
12 6
13 2
14 34
15 33
16 1
17
A role for plasma membrane potential in doxorubicin--induced cytotoxicity.
6
18
[Combination of a biscoclaurine alkaloid, cepharanthine, and anticancer agents: effects and mechanism in human gastric and pancreatic carcinoma cell lines].
3
19 33
20 2

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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