Toshiharu Maeda

45 total papers · 565 total citations
24 papers, 392 citations indexed

About

Toshiharu Maeda is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Toshiharu Maeda has authored 24 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Toshiharu Maeda's work include Breast Cancer Treatment Studies (5 papers), Cancer and Skin Lesions (4 papers) and Breast Lesions and Carcinomas (4 papers). Toshiharu Maeda is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Cancer and Skin Lesions (4 papers) and Breast Lesions and Carcinomas (4 papers). Toshiharu Maeda collaborates with scholars based in Japan. Toshiharu Maeda's co-authors include Hisashi Otsuka, Yosuke Yamamoto, Keisuke Izumi, Yoshinari Ohnishi, Yoshiki Manabe, Takemi Kinouchi, Keizo Furuya, Hideki Kawasaki, Yuji Ohtsuki and Kunio Ii and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Toshiharu Maeda

19 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Toshiharu Maeda	152	134	105	93	76	24	392
Lori W. Wilson	54 0.4×	98 0.7×	68 0.6×	85 0.9×	123 1.6×	15	391
Tianbo Jin	147 1.0×	41 0.3×	64 0.6×	39 0.4×	76 1.0×	15	383
Martina Tavarelli	277 1.8×	133 1.0×	56 0.5×	20 0.2×	26 0.3×	17	384
Angelo Giovanni Bonadio	109 0.7×	100 0.7×	121 1.2×	23 0.2×	99 1.3×	24	394
Meredith Kato	282 1.9×	210 1.6×	59 0.6×	50 0.5×	50 0.7×	17	412
Yannan Yuan	49 0.3×	78 0.6×	113 1.1×	26 0.3×	55 0.7×	20	339
W Cowan	25 0.2×	102 0.8×	90 0.9×	41 0.4×	68 0.9×	16	393
H J Gallowitsch	279 1.8×	134 1.0×	50 0.5×	42 0.5×	28 0.4×	20	415
Yangmei Huang	121 0.8×	60 0.4×	80 0.8×	21 0.2×	41 0.5×	18	432
P. Caraci	262 1.7×	97 0.7×	98 0.9×	65 0.7×	31 0.4×	18	415

Countries citing papers authored by Toshiharu Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Toshiharu Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiharu Maeda

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