Taisuke Matsuya

36 total papers · 515 total citations
13 papers, 243 citations indexed

About

Taisuke Matsuya is a scholar working on Oncology, Epidemiology and Dermatology. According to data from OpenAlex, Taisuke Matsuya has authored 13 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Epidemiology and 4 papers in Dermatology. Recurrent topics in Taisuke Matsuya's work include Nonmelanoma Skin Cancer Studies (5 papers), Cutaneous Melanoma Detection and Management (5 papers) and Cutaneous lymphoproliferative disorders research (4 papers). Taisuke Matsuya is often cited by papers focused on Nonmelanoma Skin Cancer Studies (5 papers), Cutaneous Melanoma Detection and Management (5 papers) and Cutaneous lymphoproliferative disorders research (4 papers). Taisuke Matsuya collaborates with scholars based in Japan, Germany and United States. Taisuke Matsuya's co-authors include Yasuhiro Nakamura, Yukiko Teramoto, Akifumi Yamamoto, Manabu Fujimoto, Ryota Tanaka, Yasuhiro Fujisawa, Hiroshi Maruyama, Taichi Imamura, Sayuri Sato and Jun-ichi Adachi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and British Journal of Dermatology.

In The Last Decade

Taisuke Matsuya

13 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Taisuke Matsuya	201	82	66	37	35	13	243
Clay M. Anderson	134 0.7×	47 0.6×	97 1.5×	42 1.1×	73 2.1×	13	295
Robert J. Van Gulick	119 0.6×	66 0.8×	127 1.9×	16 0.4×	23 0.7×	14	238
Julia Vaübel	194 1.0×	136 1.7×	124 1.9×	13 0.4×	28 0.8×	11	310
Xuexiao Jin	126 0.6×	167 2.0×	142 2.2×	19 0.5×	17 0.5×	15	332
Peter Isager	116 0.6×	34 0.4×	67 1.0×	18 0.5×	30 0.9×	15	318
Satoshi Nakahara	115 0.6×	113 1.4×	145 2.2×	18 0.5×	22 0.6×	16	297
B Dębniak	103 0.5×	22 0.3×	86 1.3×	40 1.1×	17 0.5×	11	228
Lijun Shen	139 0.7×	108 1.3×	87 1.3×	10 0.3×	10 0.3×	13	264
Marina Cesaretti	107 0.5×	39 0.5×	32 0.5×	20 0.5×	17 0.5×	15	242
Nicola Arpaia	96 0.5×	26 0.3×	28 0.4×	35 0.9×	35 1.0×	17	195

Countries citing papers authored by Taisuke Matsuya

Since Specialization

Citations

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

Fields of papers citing papers by Taisuke Matsuya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taisuke Matsuya

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