Kageaki Taima

102 total papers · 841 total citations
59 papers, 607 citations indexed

About

Kageaki Taima is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Kageaki Taima has authored 59 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 23 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Kageaki Taima's work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (12 papers) and interferon and immune responses (10 papers). Kageaki Taima is often cited by papers focused on Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (12 papers) and interferon and immune responses (10 papers). Kageaki Taima collaborates with scholars based in Japan and South Korea. Kageaki Taima's co-authors include Hidemi Yoshida, Tadaatsu Imaizumi, Akira Ishikawa, Hisashi Tanaka, Koji Yamashita, Shingo Takanashi, Kei Satoh, Sadatomo Tasaka, Masaharu Hatakeyama and Masamichi Itoga and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kageaki Taima

53 papers receiving 601 citations

Author Peers

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

Author						Papers	Cites
Kageaki Taima	250	228	223	122	100	59	607
Piotr Rzepecki	166 0.7×	151 0.7×	150 0.7×	86 0.7×	49 0.5×	66	646
Yukihiro Yano	251 1.0×	79 0.3×	269 1.2×	96 0.8×	58 0.6×	48	542
Yosuke Nakanishi	221 0.9×	114 0.5×	96 0.4×	173 1.4×	112 1.1×	71	629
Xiaoqin Wu	148 0.6×	229 1.0×	90 0.4×	121 1.0×	116 1.2×	52	619
G. Meuret	130 0.5×	250 1.1×	102 0.5×	79 0.6×	93 0.9×	68	677
Christoph M. Ahlers	285 1.1×	197 0.9×	70 0.3×	231 1.9×	90 0.9×	38	688
Takafumi Minami	195 0.8×	151 0.7×	185 0.8×	151 1.2×	29 0.3×	69	556
Andrea Gaetano Allegra	178 0.7×	93 0.4×	113 0.5×	265 2.2×	43 0.4×	47	637
Jing Huang	198 0.8×	159 0.7×	70 0.3×	170 1.4×	94 0.9×	29	514
Ying Cheng	442 1.8×	163 0.7×	155 0.7×	149 1.2×	133 1.3×	62	678

Countries citing papers authored by Kageaki Taima

Since Specialization

Citations

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

Fields of papers citing papers by Kageaki Taima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kageaki Taima

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