Jun Shima

4.1k citations
98 papers · 3.1k · h-index 31

Impact in

Papers in

    • Fungal and yeast genetics research 40
    • Microbial Metabolic Engineering and Bioproduction 23
    • Enzyme Catalysis and Immobilization 8
    • Biofuel production and bioconversion 39

Jun Shima

97 papers receiving 3.1k citations

Peers

Jun Shima
Comparison fields: 5 of 121
  • Food Science 989
  • Biotechnology 276
  • Molecular Biology 2.0k
  • Nutrition and Dietetics 364
  • Biomedical Engineering 803
Replace Cecı́lia Leão with:
Cecı́lia Leão Portugal
Rosanna Tofalo Italy
Giulia Tabanelli Italy
Xiaoqun Zeng China
Keiichi Goto Japan
Jingli Xie China
Kwang‐Hyun Baek South Korea
Esmeray Küley Türkiye
Jinichiro Koga Japan
Lalitha R. Gowda India
Jun Shima relative to Cecı́lia Leão Portugal Cecı́lia Leão's profile →
Citations per field
00.5×3.3×
Cecı́lia Leão · 1×
Citations per year

Countries citing papers authored by Jun Shima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shima, 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 Shima Line = papers co-authored together Jun Shima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005325
2 2013299
3 1996205
4 2008145
5 2002104
6 200296
7 201296
8 200882
9 200976
10 201376
11 199971
12 201459
13 200655
14 200154
15 200651
16 201150
17 201248
18 200946
19 200444
20 200342

About Jun Shima

Jun Shima is a scholar working on Molecular Biology, Biomedical Engineering, Food Science, Nutrition and Dietetics and Biotechnology, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (40 papers), Biofuel production and bioconversion (39 papers), Microbial Metabolic Engineering and Bioproduction (23 papers), Fermentation and Sensory Analysis (13 papers), Probiotics and Fermented Foods (13 papers), Enzyme Catalysis and Immobilization (8 papers), Enzyme Production and Characterization (7 papers) and Microbial Metabolites in Food Biotechnology (6 papers). The work is most often cited by research in Food Science (989 citations), Biotechnology (276 citations), Molecular Biology (2.0k citations), Nutrition and Dietetics (364 citations) and Biomedical Engineering (803 citations). Jun Shima has collaborated with scholars based in Japan, Slovakia and Sri Lanka. Frequent co-authors include Hiroshi Takagi, Shinichi Kawamoto, Toshihide Nakamura, Noriko Komatsuzaki, Jun Ogawa, Toshinori Kimura, Akira Ando, Kozo Ochi, Andrew Hesketh and Susumu Okamoto. Their work appears in journals such as Applied and Environmental Microbiology, Bioscience Biotechnology and Biochemistry, International Journal of Food Microbiology, FEMS Yeast Research and The Journal of Antibiotics.

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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