Makoto Kurai

65 total papers · 629 total citations
41 papers, 467 citations indexed

About

Makoto Kurai is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Makoto Kurai has authored 41 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 14 papers in Surgery and 8 papers in Rheumatology. Recurrent topics in Makoto Kurai's work include Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Makoto Kurai is often cited by papers focused on Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Makoto Kurai collaborates with scholars based in Japan and United Kingdom. Makoto Kurai's co-authors include Naoya Katsuragi, Yutsuki Nakajima, Nobumasa Takahashi, Yuji Shiraishi, Kazuo Yoshida, Ryoichi Kondo, Kazutoshi Hamanaka, Jun Amano, Masayuki Haniuda and Akihiro Tsukadaira and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Respiratory Journal and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Makoto Kurai

35 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Makoto Kurai	285	112	100	80	48	41	467
Yunjoo Im	238 0.8×	52 0.5×	135 1.4×	90 1.1×	66 1.4×	40	469
Atsuhisa Tamura	240 0.8×	110 1.0×	144 1.4×	95 1.2×	72 1.5×	43	469
Gustavo de Souza Portes Meirelles	234 0.8×	70 0.6×	160 1.6×	104 1.3×	25 0.5×	39	492
C Hilvering	294 1.0×	74 0.7×	70 0.7×	51 0.6×	47 1.0×	42	537
Tsutomu Hachiya	267 0.9×	78 0.7×	109 1.1×	70 0.9×	136 2.8×	47	526
Juntima Euathrongchit	151 0.5×	132 1.2×	149 1.5×	46 0.6×	30 0.6×	45	485
Mehmet Akif Özgül	257 0.9×	76 0.7×	95 0.9×	37 0.5×	167 3.5×	59	479
Wei-Zhong Zhou	104 0.4×	151 1.3×	114 1.1×	56 0.7×	71 1.5×	56	516
Karla Laís Pêgas	112 0.4×	110 1.0×	73 0.7×	41 0.5×	38 0.8×	44	404
Hong Lyeol Lee	379 1.3×	91 0.8×	74 0.7×	33 0.4×	55 1.1×	57	539

Countries citing papers authored by Makoto Kurai

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Kurai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kurai

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