Minenosuke Matsutani

44 total papers · 701 total citations
36 papers, 512 citations indexed

About

Minenosuke Matsutani is a scholar working on Molecular Biology, Biochemistry and Food Science. According to data from OpenAlex, Minenosuke Matsutani has authored 36 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 5 papers in Biochemistry and 5 papers in Food Science. Recurrent topics in Minenosuke Matsutani's work include Microbial metabolism and enzyme function (13 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Genomics and Phylogenetic Studies (10 papers). Minenosuke Matsutani is often cited by papers focused on Microbial metabolism and enzyme function (13 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Genomics and Phylogenetic Studies (10 papers). Minenosuke Matsutani collaborates with scholars based in Japan, Thailand and United States. Minenosuke Matsutani's co-authors include Toshiharu Yakushi, Kazunobu Matsushita, Hideki Hirakawa, Mamoru Yamada, Nadchanok Rodrussamee, Naoko Fujimoto, Nobuyuki Fujita, Masayuki Murata, Savitree Limtong and Akira Hosoyama and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Carbohydrate Polymers.

In The Last Decade

Minenosuke Matsutani

36 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
Minenosuke Matsutani	345	163	86	61	48	36	512
Nadeem Ahmed	221 0.6×	74 0.5×	19 0.2×	30 0.5×	35 0.7×	49	574
Duncan J. H. Gaskin	328 1.0×	49 0.3×	192 2.2×	35 0.6×	51 1.1×	18	579
Suman Mazumdar	474 1.4×	267 1.6×	19 0.2×	42 0.7×	43 0.9×	13	616
R. A. Rhodes	301 0.9×	123 0.8×	69 0.8×	102 1.7×	69 1.4×	31	555
J. E. Escamilla	288 0.8×	44 0.3×	17 0.2×	163 2.7×	23 0.5×	32	580
Cindy Vallières	166 0.5×	31 0.2×	61 0.7×	139 2.3×	25 0.5×	32	544
Hung‐Yun Lin	203 0.6×	114 0.7×	33 0.4×	38 0.6×	29 0.6×	25	594
Yan Chen	237 0.7×	72 0.4×	80 0.9×	41 0.7×	87 1.8×	33	572
W. R. Lockhart	182 0.5×	44 0.3×	59 0.7×	49 0.8×	46 1.0×	40	492
Ivan L. Roth	237 0.7×	44 0.3×	53 0.6×	76 1.2×	40 0.8×	36	544

Countries citing papers authored by Minenosuke Matsutani

Since Specialization

Citations

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

Fields of papers citing papers by Minenosuke Matsutani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minenosuke Matsutani

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