T. Shibata

27 total papers · 736 total citations
17 papers, 554 citations indexed

About

T. Shibata is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, T. Shibata has authored 17 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in T. Shibata's work include Ion channel regulation and function (3 papers), Mast cells and histamine (3 papers) and Glaucoma and retinal disorders (2 papers). T. Shibata is often cited by papers focused on Ion channel regulation and function (3 papers), Mast cells and histamine (3 papers) and Glaucoma and retinal disorders (2 papers). T. Shibata collaborates with scholars based in Japan and Germany. T. Shibata's co-authors include Yuko Kumeda, Tsutomu Asao, S Kozaki, Hiroko Nakazawa, Taro Kawai, Hirohisa Oda, Miyuki Kuno, Takeshi Okada, Junko Kawawaki and Masahiko Watanabe and has published in prestigious journals such as American Journal of Physiology-Cell Physiology, The Journal of Membrane Biology and Journal of Medical Virology.

In The Last Decade

T. Shibata

16 papers receiving 525 citations

Author Peers

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

Author Last Decade Papers Cites
T. Shibata 218 215 171 114 61 17 554
Mary L. Evenson 219 1.0× 240 1.1× 151 0.9× 130 1.1× 102 1.7× 9 554
Ruth N. Robbins 361 1.7× 260 1.2× 137 0.8× 109 1.0× 36 0.6× 13 641
Pejman Naraghi‐Arani 167 0.8× 133 0.6× 91 0.5× 91 0.8× 58 1.0× 19 581
Marie‐Françoise Cochet 126 0.6× 299 1.4× 201 1.2× 126 1.1× 21 0.3× 22 538
Alfonsina Fiore 371 1.7× 101 0.5× 249 1.5× 112 1.0× 28 0.5× 26 697
F. Feldhusen 84 0.4× 108 0.5× 126 0.7× 53 0.5× 32 0.5× 24 531
Hiromi Takahashi‐Omoe 453 2.1× 263 1.2× 132 0.8× 126 1.1× 11 0.2× 15 558
Lena Sundqvist 247 1.1× 165 0.8× 84 0.5× 50 0.4× 39 0.6× 20 541
N. Katsui 74 0.3× 178 0.8× 152 0.9× 109 1.0× 54 0.9× 22 544
Irshad A. Hajam 131 0.6× 166 0.8× 45 0.3× 54 0.5× 25 0.4× 12 499

Countries citing papers authored by T. Shibata

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Shibata more than expected).

Fields of papers citing papers by T. Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Shibata

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