Masayuki Kamada

53 total papers · 1.1k total citations
37 papers, 911 citations indexed

About

Masayuki Kamada is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Masayuki Kamada has authored 37 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Masayuki Kamada's work include Bladder and Urothelial Cancer Treatments (8 papers), Renal cell carcinoma treatment (7 papers) and Prostate Cancer Treatment and Research (5 papers). Masayuki Kamada is often cited by papers focused on Bladder and Urothelial Cancer Treatments (8 papers), Renal cell carcinoma treatment (7 papers) and Prostate Cancer Treatment and Research (5 papers). Masayuki Kamada collaborates with scholars based in Japan, Canada and United States. Masayuki Kamada's co-authors include Taro Shuin, Mutsuo Furihata, Keiji Inoue, Heiwa Okuda, Palma Rocchi, Alan So, Mototsugu Muramaki, Eliana Beraldi, Martin Gleave and Satoshi Fukata and has published in prestigious journals such as Cancer, Cancer Research and Oncogene.

In The Last Decade

Masayuki Kamada

34 papers receiving 898 citations

Author Peers

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

Author Last Decade Papers Cites
Masayuki Kamada 521 298 263 248 118 37 911
Colin Cooper 639 1.2× 331 1.1× 299 1.1× 133 0.5× 207 1.8× 28 1.1k
Susan E. Alters 440 0.8× 181 0.6× 232 0.9× 113 0.5× 170 1.4× 32 1.0k
Yuxia Cao 579 1.1× 392 1.3× 107 0.4× 291 1.2× 237 2.0× 25 1.0k
Vamsi Parimi 370 0.7× 240 0.8× 176 0.7× 191 0.8× 276 2.3× 38 909
Zheng Xu 586 1.1× 112 0.4× 302 1.1× 142 0.6× 128 1.1× 40 871
Sey‐En Lin 400 0.8× 270 0.9× 176 0.7× 178 0.7× 324 2.7× 52 967
Patrícia Oliveira 533 1.0× 107 0.4× 200 0.8× 165 0.7× 191 1.6× 30 858
C Sakakura 354 0.7× 308 1.0× 115 0.4× 363 1.5× 267 2.3× 28 983
Kazuto Kunimi 327 0.6× 334 1.1× 280 1.1× 151 0.6× 174 1.5× 42 846
Eva Colás 621 1.2× 184 0.6× 408 1.6× 77 0.3× 231 2.0× 42 1.2k

Countries citing papers authored by Masayuki Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Kamada

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