Makio Tamura

27 total papers · 655 total citations
17 papers, 449 citations indexed

About

Makio Tamura is a scholar working on Organic Chemistry, Molecular Biology and Dermatology. According to data from OpenAlex, Makio Tamura has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Molecular Biology and 4 papers in Dermatology. Recurrent topics in Makio Tamura's work include Supramolecular Chemistry and Complexes (4 papers), Membrane Separation Technologies (4 papers) and Porphyrin and Phthalocyanine Chemistry (3 papers). Makio Tamura is often cited by papers focused on Supramolecular Chemistry and Complexes (4 papers), Membrane Separation Technologies (4 papers) and Porphyrin and Phthalocyanine Chemistry (3 papers). Makio Tamura collaborates with scholars based in United States, Japan and Portugal. Makio Tamura's co-authors include Stephen R. Holbrook, Akihiko Ueno, De Gao, Akihiko Ueno, Patrik D’haeseleer, Kiyotaka Sakai, Jay P. Tiesman, Kevin J. Mills, James P. Henry and Jun Xu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Makio Tamura

16 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Makio Tamura	223	88	83	58	52	17	449
Daniel J. Lundberg	169 0.8×	93 1.1×	64 0.8×	79 1.4×	6 0.1×	23	525
Sojeong Kim	89 0.4×	58 0.7×	41 0.5×	61 1.1×	8 0.2×	26	514
Barry O’Hagan	135 0.6×	78 0.9×	24 0.3×	101 1.7×	10 0.2×	22	421
Zhimin Wang	123 0.6×	46 0.5×	39 0.5×	80 1.4×	20 0.4×	24	519
Mosar Corrêa Rodrigues	129 0.6×	93 1.1×	65 0.8×	193 3.3×	5 0.1×	26	498
Elaref Ratemi	131 0.6×	59 0.7×	88 1.1×	91 1.6×	7 0.1×	27	486
Priyanka Shaw	120 0.5×	35 0.4×	46 0.6×	71 1.2×	13 0.3×	14	489
Sylwia Olsztyńska-Janus	131 0.6×	51 0.6×	30 0.4×	80 1.4×	3 0.1×	18	491
Hongbin Song	342 1.5×	73 0.8×	12 0.1×	127 2.2×	4 0.1×	17	534
Robert Brodwolf	121 0.5×	61 0.7×	37 0.4×	83 1.4×	3 0.1×	17	488

Countries citing papers authored by Makio Tamura

Since Specialization

Citations

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

Fields of papers citing papers by Makio Tamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makio Tamura

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