Eiichi Shiba

2.1k total citations
96 papers, 1.7k citations indexed

About

Eiichi Shiba is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Eiichi Shiba has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 27 papers in Cancer Research and 19 papers in Molecular Biology. Recurrent topics in Eiichi Shiba's work include Breast Cancer Treatment Studies (14 papers), Cancer Treatment and Pharmacology (11 papers) and Calpain Protease Function and Regulation (9 papers). Eiichi Shiba is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Cancer Treatment and Pharmacology (11 papers) and Calpain Protease Function and Regulation (9 papers). Eiichi Shiba collaborates with scholars based in Japan, United States and Switzerland. Eiichi Shiba's co-authors include Shinzaburo Noguchi, Junichi Kambayashi, Masato Sakon, Yasuhiro Tamaki, Tomio Kawasaki, Tetsuya Taguchi, Yasuo Miyoshi, Takesada Mori, Kenzo Shimazu and Shuichi Ohashi and has published in prestigious journals such as Cancer, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Eiichi Shiba

92 papers receiving 1.6k citations

Peers

Eiichi Shiba
Comparison fields: 5 of 109
  • Molecular Biology 427
  • Surgery 412
  • Cancer Research 292
  • Genetics 262
  • Oncology 253
Replace Ana Tobar with:
Ana Tobar Israel
Isao Shirato Japan
Nikki Feirt United States
Elisabeth Gröne Germany
Bart J.M. van Vlijmen Netherlands
Takashi Ohigashi Japan
J Kawamura Japan
Shotaro Naito Japan
Christilla Bachelot‐Loza France
D. Lee Gorden United States
Ana Tobar Israel View profile →
Citations per field, relative to Eiichi Shiba
Eiichi Shiba · 1×
Citations per year, relative to Eiichi Shiba
Eiichi Shiba · 1×

Countries citing papers authored by Eiichi Shiba

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Shiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Shiba

This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Shiba. A scholar is included among the top collaborators of Eiichi Shiba 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 Eiichi Shiba. Eiichi Shiba 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 4
3 5
4 15
5 17
6 18
7 56
8 12
9 7
10 2
11 16
12 1
13 68
14 2
15 17
16 2
17
Characteristics of various synthetic peptide calpain inhibitors and their application for the analysis of platelet reaction.
13
18 39
19 8
20 65

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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