Eiichi Shiba

149 total papers · 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 Protease and Inhibitor Mechanisms (9 papers). Eiichi Shiba is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Cancer Treatment and Pharmacology (11 papers) and Protease and Inhibitor Mechanisms (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, Takesada Mori, Yasuo Miyoshi, Kenzo Shimazu and Eiji Taniguchi and has published in prestigious journals such as Cancer, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Eiichi Shiba

93 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eiichi Shiba 427 411 292 263 252 96 1.7k
Ana Tobar 642 1.5× 289 0.7× 288 1.0× 191 0.7× 177 0.7× 51 2.1k
Bart J.M. van Vlijmen 659 1.5× 568 1.4× 315 1.1× 107 0.4× 214 0.8× 71 2.1k
Sinéad Toomey 709 1.7× 234 0.6× 241 0.8× 115 0.4× 490 1.9× 66 2.0k
Houman Khalili 361 0.8× 397 1.0× 222 0.8× 170 0.6× 183 0.7× 76 1.9k
Claudio Di Cristofano 776 1.8× 479 1.2× 251 0.9× 223 0.8× 275 1.1× 98 2.1k
Giovanni Cimmino 520 1.2× 517 1.3× 251 0.9× 57 0.2× 150 0.6× 108 2.1k
Takashi Ohigashi 545 1.3× 394 1.0× 373 1.3× 139 0.5× 464 1.8× 94 2.1k
Viviane Gnemmi 716 1.7× 468 1.1× 280 1.0× 82 0.3× 248 1.0× 82 2.1k
Sandrine Placier 548 1.3× 222 0.5× 144 0.5× 89 0.3× 146 0.6× 53 1.8k
Damien Ambrosetti 857 2.0× 483 1.2× 361 1.2× 292 1.1× 484 1.9× 90 2.3k

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

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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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