Jun Ohtsuka

765 citations
42 papers · 601 · h-index 14

Impact in

  • Pollution top 10%
    • Microplastics and Plastic Pollution
    • Microbial bioremediation and biosurfactants
  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism

Papers in

Jun Ohtsuka

42 papers receiving 597 citations

Peers

Jun Ohtsuka
Comparison fields: 5 of 93
  • Pollution 143
  • Biochemistry 54
  • Biomaterials 97
  • Molecular Biology 344
  • Biotechnology 43
Replace Evamaria I. Petersen with:
Evamaria I. Petersen Denmark
Sigrid Deller Austria
Danaya Pakotiprapha Thailand
Anne Nicolas France
Lixin Ma China
Veronika Štěpánková Czechia
Peter Remler Austria
Patrick C. F. Buchholz Germany
Pieter de Geus Netherlands
Marek Bučko Slovakia
Jun Ohtsuka relative to Evamaria I. Petersen Denmark Evamaria I. Petersen's profile →
Citations per field
00.5×1.5×2.4×
Evamaria I. Petersen · 1×
Citations per year

Countries citing papers authored by Jun Ohtsuka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohtsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Ohtsuka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Ohtsuka Line = papers co-authored together Jun Ohtsuka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014112
2 201557
3 201037
4 201233
5 201523
6 201320
7 201520
8 201320
9 201320
10 201319
11 201118
12 201418
13 201917
14 201315
15 200912
16 200911
17 200911
18 201410
19 201310
20 201710

About Jun Ohtsuka

Jun Ohtsuka is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Pollution and Biochemistry, having authored 42 papers that have together received 601 indexed citations. Recurring topics across this work include Enzyme Structure and Function (26 papers), Enzyme Catalysis and Immobilization (6 papers), Biochemical and Molecular Research (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Microbial bioremediation and biosurfactants (4 papers), Bacterial Genetics and Biotechnology (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and biodegradable polymer synthesis and properties (3 papers). The work is most often cited by research in Pollution (143 citations), Biochemistry (54 citations), Biomaterials (97 citations), Molecular Biology (344 citations) and Biotechnology (43 citations). Jun Ohtsuka has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Masaru Tanokura, Takuya Miyakawa, Koji Nagata, Fusako Kawai, Masayuki Oda, Hiroki Mizushima, Masahiko Okai, Keiko Kubota, Lijun Guan and Akihiro Yamamura. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Applied Microbiology and Biotechnology, Scientific Reports, Journal of Biological Chemistry and Journal of Molecular Biology.

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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