Takahiro Aoki

139 total papers · 902 total citations
64 papers, 604 citations indexed

About

Takahiro Aoki is a scholar working on Oncology, Electrical and Electronic Engineering and Immunology. According to data from OpenAlex, Takahiro Aoki has authored 64 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 17 papers in Electrical and Electronic Engineering and 10 papers in Immunology. Recurrent topics in Takahiro Aoki's work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (9 papers) and Low-power high-performance VLSI design (7 papers). Takahiro Aoki is often cited by papers focused on Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (9 papers) and Low-power high-performance VLSI design (7 papers). Takahiro Aoki collaborates with scholars based in Japan, Sweden and United States. Takahiro Aoki's co-authors include Toshihiko Ishii, Akio Nomoto, Kazuko Shiroki, Shinichiro Motohashi, Seii Ohka, Ryoji Hanada, Katsuyoshi Koh, Yuki Arakawa, M. Igarashi and M. Ichida and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Applied Physics Letters.

In The Last Decade

Takahiro Aoki

52 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Takahiro Aoki	161	149	121	112	88	64	604
Y. Tsukada	180 1.1×	116 0.8×	67 0.6×	28 0.3×	121 1.4×	30	623
Kouji Hirata	93 0.6×	93 0.6×	26 0.2×	75 0.7×	67 0.8×	91	530
Aditi Kulkarni	19 0.1×	223 1.5×	182 1.5×	10 0.1×	155 1.8×	61	664
Meihua Xu	56 0.3×	204 1.4×	150 1.2×	17 0.2×	40 0.5×	83	603
Ping Han	50 0.3×	142 1.0×	124 1.0×	38 0.3×	77 0.9×	61	620
Zhigang Huang	50 0.3×	116 0.8×	131 1.1×	40 0.4×	38 0.4×	49	528
。 Ohta	73 0.5×	70 0.5×	61 0.5×	8 0.1×	85 1.0×	60	499
Shih-Chieh Su	26 0.2×	312 2.1×	48 0.4×	13 0.1×	33 0.4×	28	593
Yueping Wan	90 0.6×	314 2.1×	60 0.5×	40 0.4×	168 1.9×	27	675
Xiaoyan Wang	28 0.2×	191 1.3×	69 0.6×	39 0.3×	69 0.8×	56	597

Countries citing papers authored by Takahiro Aoki

Since Specialization

Citations

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

Fields of papers citing papers by Takahiro Aoki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Aoki

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