Hidehiko Mukasa

40 total papers · 1.3k total citations
38 papers, 1.2k citations indexed

About

Hidehiko Mukasa is a scholar working on Molecular Biology, Biotechnology and Nutrition and Dietetics. According to data from OpenAlex, Hidehiko Mukasa has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Biotechnology and 17 papers in Nutrition and Dietetics. Recurrent topics in Hidehiko Mukasa's work include Enzyme Production and Characterization (20 papers), Microbial Metabolites in Food Biotechnology (16 papers) and Glycosylation and Glycoproteins Research (14 papers). Hidehiko Mukasa is often cited by papers focused on Enzyme Production and Characterization (20 papers), Microbial Metabolites in Food Biotechnology (16 papers) and Glycosylation and Glycoproteins Research (14 papers). Hidehiko Mukasa collaborates with scholars based in Japan, United States and United Kingdom. Hidehiko Mukasa's co-authors include Hutton D. Slade, Hideaki Tsumori, Howard K. Kuramitsu, Yoshio Nakano, Martyn L. Gilpin, R.R.B. Russell, Gordon Dougan, R. R. B. Russell, Joseph J. Ferretti and Masataka Ito and has published in prestigious journals such as Analytical Biochemistry, FEBS Letters and Journal of Bacteriology.

In The Last Decade

Hidehiko Mukasa

38 papers receiving 954 citations

Author Peers

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

Author Last Decade Papers Cites
Hidehiko Mukasa 577 515 444 375 266 38 1.2k
Gwen J. Walker 726 1.3× 516 1.0× 215 0.5× 380 1.0× 73 0.3× 46 1.2k
Charles L. Wittenberger 155 0.3× 210 0.4× 192 0.4× 551 1.5× 115 0.4× 30 1.0k
Vincent Monchois 631 1.1× 567 1.1× 121 0.3× 398 1.1× 37 0.1× 25 1.1k
Takahiro Minami 134 0.2× 124 0.2× 298 0.7× 291 0.8× 121 0.5× 55 1.1k
Byung-Hoo Lee 230 0.4× 461 0.9× 109 0.2× 320 0.9× 29 0.1× 51 1.1k
Masako Higuchi 72 0.1× 105 0.2× 188 0.4× 485 1.3× 115 0.4× 47 1.1k
J Thompson 133 0.2× 224 0.4× 70 0.2× 739 2.0× 96 0.4× 30 1.3k
René‐Marc Willemot 1.0k 1.8× 988 1.9× 75 0.2× 434 1.2× 24 0.1× 25 1.5k
Phoency Lai 125 0.2× 455 0.9× 101 0.2× 381 1.0× 25 0.1× 38 1.3k
P.‐L. Mäkinen 84 0.1× 53 0.1× 396 0.9× 352 0.9× 175 0.7× 39 1.0k

Countries citing papers authored by Hidehiko Mukasa

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiko Mukasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidehiko Mukasa

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