S Shibata

56 total papers · 1.0k total citations
25 papers, 677 citations indexed

About

S Shibata is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S Shibata has authored 25 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 9 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S Shibata's work include Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). S Shibata is often cited by papers focused on Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). S Shibata collaborates with scholars based in Japan and United States. S Shibata's co-authors include Takeshi Sasaki, Yasuhiko Munakata, Constantin A. Bona, Howard Fillit, Tomonori Ishii, Chihiro Murai, Yuichi Takahashi, Takashi Sawai, Kazuo Sugamura and Takako Saitoh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

S Shibata

25 papers receiving 645 citations

Author Peers

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

Author Last Decade Papers Cites
S Shibata 283 198 168 150 146 25 677
Yasuhiko Hirabayashi 162 0.6× 183 0.9× 135 0.8× 80 0.5× 57 0.4× 31 563
B. Catteau 130 0.5× 102 0.5× 100 0.6× 129 0.9× 129 0.9× 50 719
Bina Menon 198 0.7× 316 1.6× 76 0.5× 61 0.4× 194 1.3× 31 719
Carmen G. Espinoza 163 0.6× 107 0.5× 50 0.3× 88 0.6× 70 0.5× 28 625
Kirsi Pekkola‐Heino 197 0.7× 130 0.7× 44 0.3× 43 0.3× 79 0.5× 20 783
Hiroshi Fujiwara 128 0.5× 227 1.1× 106 0.6× 92 0.6× 72 0.5× 34 714
A Salerno 81 0.3× 265 1.3× 53 0.3× 91 0.6× 32 0.2× 40 574
Martina Kerscher 79 0.3× 241 1.2× 71 0.4× 478 3.2× 53 0.4× 28 771
Sylvia L. Brice 171 0.6× 114 0.6× 120 0.7× 179 1.2× 28 0.2× 24 745
Huei-Huang Ho 399 1.4× 234 1.2× 74 0.4× 42 0.3× 57 0.4× 23 692

Countries citing papers authored by S Shibata

Since Specialization
Citations

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

Fields of papers citing papers by S Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of S Shibata. A scholar is included among the top collaborators of S Shibata 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 S Shibata. S Shibata 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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2026