Hidekatsu Shibata

48 total papers · 686 total citations
32 papers, 500 citations indexed

About

Hidekatsu Shibata is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hidekatsu Shibata has authored 32 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hidekatsu Shibata's work include Lung Cancer Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Hidekatsu Shibata is often cited by papers focused on Lung Cancer Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Hidekatsu Shibata collaborates with scholars based in Japan and United States. Hidekatsu Shibata's co-authors include Hiroaki Nomori, Yasuomi Ohba, Takeshi Mori, Shinya Shiraishi, Kentaro Yoshimoto, Koei Ikeda, Kenji Shiraishi, Hironori Kobayashi, Toshiaki Kobayashi and Takeshi Mori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Hidekatsu Shibata

32 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Hidekatsu Shibata	281	134	77	73	66	32	500
Masaya Furuta	268 1.0×	101 0.8×	120 1.6×	41 0.6×	110 1.7×	38	488
Doi O	298 1.1×	121 0.9×	136 1.8×	87 1.2×	118 1.8×	34	590
Raghu Vikram	243 0.9×	190 1.4×	187 2.4×	72 1.0×	145 2.2×	32	532
Tejan Diwanji	260 0.9×	224 1.7×	28 0.4×	38 0.5×	60 0.9×	49	478
Yasuhiro Sasakawa	164 0.6×	314 2.3×	104 1.4×	30 0.4×	132 2.0×	19	525
Yirui Zhai	194 0.7×	69 0.5×	108 1.4×	63 0.9×	140 2.1×	58	454
Arianna Massaro	228 0.8×	264 2.0×	100 1.3×	22 0.3×	63 1.0×	24	464
Ken Herrmann	198 0.7×	278 2.1×	77 1.0×	42 0.6×	138 2.1×	61	544
Hideki Marushima	366 1.3×	70 0.5×	156 2.0×	64 0.9×	123 1.9×	59	536
Jumpei Kashima	306 1.1×	113 0.8×	55 0.7×	75 1.0×	229 3.5×	41	557

Countries citing papers authored by Hidekatsu Shibata

Since Specialization

Citations

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

Fields of papers citing papers by Hidekatsu Shibata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidekatsu Shibata

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