Naoko Matsuda

77 total papers · 1.2k total citations
41 papers, 862 citations indexed

About

Naoko Matsuda is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naoko Matsuda has authored 41 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 11 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naoko Matsuda's work include Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Treatment and Pharmacology (7 papers). Naoko Matsuda is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (8 papers) and Cancer Treatment and Pharmacology (7 papers). Naoko Matsuda collaborates with scholars based in Japan, United States and Brazil. Naoko Matsuda's co-authors include TOMIO TAKEUCHI, MASA HAMADA, TSUTOMU SAWA, HAMAO UMEZAWA, Takeshi Uchida, Masaya Imoto, Hirokazu Nishiwaki, KUNIO ISSHIKI, HIRONOBU IINUMA and Yasuhiro Ogura and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and European Journal of Cancer.

In The Last Decade

Naoko Matsuda

40 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
Naoko Matsuda 278 221 194 122 113 41 862
Xiaoping Ma 482 1.7× 105 0.5× 209 1.1× 33 0.3× 37 0.3× 55 840
Beatriz García 466 1.7× 165 0.7× 98 0.5× 24 0.2× 76 0.7× 43 915
Liujiang Song 451 1.6× 190 0.9× 133 0.7× 22 0.2× 27 0.2× 32 807
David Sherris 461 1.7× 120 0.5× 88 0.5× 16 0.1× 52 0.5× 27 736
Marie Audette 557 2.0× 161 0.7× 139 0.7× 108 0.9× 22 0.2× 36 1.1k
Franca Piras 325 1.2× 284 1.3× 90 0.5× 17 0.1× 28 0.2× 41 863
P.K. Chiang 558 2.0× 165 0.7× 125 0.6× 41 0.3× 25 0.2× 25 975
Miyuki Murata 375 1.3× 67 0.3× 96 0.5× 19 0.2× 66 0.6× 58 792
Nihal Kaplan 465 1.7× 74 0.3× 138 0.7× 23 0.2× 28 0.2× 39 1.0k
Philip A. Klenotic 520 1.9× 79 0.4× 139 0.7× 29 0.2× 15 0.1× 27 909

Countries citing papers authored by Naoko Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Matsuda

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