Maiko Taneichi

42 total papers · 606 total citations
31 papers, 466 citations indexed

About

Maiko Taneichi is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maiko Taneichi has authored 31 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 12 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maiko Taneichi's work include Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immune Cell Function and Interaction (9 papers). Maiko Taneichi is often cited by papers focused on Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immune Cell Function and Interaction (9 papers). Maiko Taneichi collaborates with scholars based in Japan, United States and United Kingdom. Maiko Taneichi's co-authors include Tetsuya Uchida, Masahito Mori, Yuriko Tanaka, Michiyuki Kasai, Seishiro Naito, Katsutoshi Komuro, Terutaka Kakiuchi, Yoshio Nakano, M. Matsui and Toshitaka Akatsuka and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Maiko Taneichi

30 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
Maiko Taneichi	307	236	98	85	58	31	466
Felicity C. Stark	245 0.8×	191 0.8×	69 0.7×	77 0.9×	23 0.4×	24	511
Shari A. Lofthouse	253 0.8×	192 0.8×	56 0.6×	51 0.6×	57 1.0×	23	489
Daniel Schmitt	136 0.4×	163 0.7×	52 0.5×	54 0.6×	32 0.6×	26	496
Seishiro Naito	278 0.9×	183 0.8×	113 1.2×	55 0.6×	54 0.9×	45	550
Katsutoshi Komuro	377 1.2×	168 0.7×	68 0.7×	56 0.7×	59 1.0×	31	552
Genevieve Weir	321 1.0×	174 0.7×	99 1.0×	54 0.6×	47 0.8×	37	528
Yimei Jia	183 0.6×	169 0.7×	74 0.8×	72 0.8×	17 0.3×	24	442
Komal Gurnani	264 0.9×	196 0.8×	49 0.5×	68 0.8×	20 0.3×	21	493
Maohua Zhong	213 0.7×	168 0.7×	115 1.2×	135 1.6×	17 0.3×	33	531
Deepa Mohanan	292 1.0×	156 0.7×	54 0.6×	84 1.0×	19 0.3×	11	485

Countries citing papers authored by Maiko Taneichi

Since Specialization

Citations

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

Fields of papers citing papers by Maiko Taneichi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Taneichi

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