Suguru Kakite

27 total papers · 867 total citations
26 papers, 705 citations indexed

About

Suguru Kakite is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Surgery. According to data from OpenAlex, Suguru Kakite has authored 26 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Hepatology and 6 papers in Surgery. Recurrent topics in Suguru Kakite's work include MRI in cancer diagnosis (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Suguru Kakite is often cited by papers focused on MRI in cancer diagnosis (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Suguru Kakite collaborates with scholars based in Japan, United States and Singapore. Suguru Kakite's co-authors include Toshihide Ogawa, Yoshiko Kanasaki, Toshio Kaminou, Bachir Taouli, Shinya Fujii, Hadrien Dyvorne, Eiji Matsusue, Tasuku Harada, Cecilia Besa and Marcelo Facciuto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and American Journal of Neuroradiology.

In The Last Decade

Suguru Kakite

25 papers receiving 694 citations

Author Peers

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

Author						Papers	Cites
Suguru Kakite	471	176	147	113	108	26	705
Katya Op de beeck	517 1.1×	162 0.9×	140 1.0×	144 1.3×	94 0.9×	18	862
Yoshihiro Okumura	173 0.4×	73 0.4×	73 0.5×	81 0.7×	74 0.7×	45	646
Kun Zhou	202 0.4×	250 1.4×	117 0.8×	104 0.9×	114 1.1×	31	876
F. Deckers	228 0.5×	178 1.0×	18 0.1×	93 0.8×	29 0.3×	29	773
N. Schreiter	190 0.4×	14 0.1×	99 0.7×	281 2.5×	109 1.0×	33	687
Sameer Khan	172 0.4×	52 0.3×	15 0.1×	129 1.1×	17 0.2×	29	666
G. Negrão de Figueiredo	274 0.6×	108 0.6×	15 0.1×	74 0.7×	10 0.1×	44	641
Benedikt Gomez	516 1.1×	44 0.3×	18 0.1×	35 0.3×	24 0.2×	23	648
Hai‐Bin Shi	587 1.2×	22 0.1×	16 0.1×	42 0.4×	46 0.4×	31	697
Xuequan Huang	430 0.9×	92 0.5×	12 0.1×	61 0.5×	7 0.1×	32	676

Countries citing papers authored by Suguru Kakite

Since Specialization

Citations

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

Fields of papers citing papers by Suguru Kakite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suguru Kakite

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