Masao Tamada

194 total papers · 4.7k total citations
147 papers, 4.0k citations indexed

About

Masao Tamada is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Biomaterials. According to data from OpenAlex, Masao Tamada has authored 147 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 29 papers in Industrial and Manufacturing Engineering and 28 papers in Biomaterials. Recurrent topics in Masao Tamada's work include Chemical Synthesis and Characterization (17 papers), Radioactive element chemistry and processing (15 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). Masao Tamada is often cited by papers focused on Chemical Synthesis and Characterization (17 papers), Radioactive element chemistry and processing (15 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). Masao Tamada collaborates with scholars based in Japan, Türkiye and Malaysia. Masao Tamada's co-authors include Noriaki Seko, Akinori Jyo, Fumio Yoshii, Md. Rabiul Awual, Akio Katakai, Naotsugu Nagasawa, Takanobu Sugo, Hiroshi Mitomo, Noboru Kasai and Kyoichi Saito and has published in prestigious journals such as Journal of Applied Physics, Analytical Chemistry and Water Research.

In The Last Decade

Masao Tamada

146 papers receiving 3.9k citations

Author Peers

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

Author Last Decade Papers Cites
Masao Tamada 1.2k 980 806 785 736 147 4.0k
Takanobu Sugo 1.3k 1.1× 912 0.9× 813 1.0× 1.3k 1.7× 1.2k 1.6× 187 4.6k
Long Zhao 787 0.6× 964 1.0× 1.3k 1.6× 831 1.1× 733 1.0× 220 4.5k
Takahiro Hirotsu 1.0k 0.8× 690 0.7× 1.4k 1.7× 415 0.5× 602 0.8× 120 3.9k
Xuepin Liao 712 0.6× 1.1k 1.1× 1.8k 2.3× 848 1.1× 1.3k 1.8× 157 5.7k
Leslie Petrik 629 0.5× 1.3k 1.4× 1.5k 1.9× 863 1.1× 1.1k 1.5× 223 6.5k
S.K. Milonjić 524 0.4× 1.4k 1.5× 1.1k 1.3× 443 0.6× 787 1.1× 139 3.9k
Noriaki Seko 1.2k 0.9× 738 0.8× 629 0.8× 836 1.1× 283 0.4× 114 2.5k
Ping Yin 847 0.7× 1000 1.0× 953 1.2× 837 1.1× 537 0.7× 133 3.3k
Tao Chen 703 0.6× 684 0.7× 2.4k 3.0× 1.7k 2.2× 694 0.9× 183 5.6k
Dorota Kołodyńska 1.1k 0.9× 2.5k 2.6× 700 0.9× 605 0.8× 889 1.2× 151 4.6k

Countries citing papers authored by Masao Tamada

Since Specialization
Citations

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

Fields of papers citing papers by Masao Tamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Tamada

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