Jun Shima

4.1k citations
101 papers · 3.4k · h-index 32

Impact in

Papers in

    • Fungal and yeast genetics research 42
    • Microbial Metabolic Engineering and Bioproduction 24
    • Enzyme Catalysis and Immobilization 8
    • Biofuel production and bioconversion 41

Jun Shima

99 papers receiving 3.3k citations

Peers

Jun Shima
Comparison fields: 5 of 123
  • Food Science 1.1k
  • Biotechnology 292
  • Molecular Biology 2.2k
  • Nutrition and Dietetics 387
  • Biomedical Engineering 923
Replace Cecı́lia Leão with:
Cecı́lia Leão Portugal
Rosanna Tofalo Italy
Giulia Tabanelli Italy
Stefan Weckx Belgium
Xiaoqun Zeng China
Keiichi Goto Japan
Jingli Xie China
Esmeray Küley Türkiye
Kwang‐Hyun Baek South Korea
Ki Choon Choi South Korea
Jun Shima relative to Cecı́lia Leão Portugal Cecı́lia Leão's profile →
Citations per field
00.5×3.0×
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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005343
2 2013319
3 1996217
4 2008149
5 2002107
6 2002104
7 2012103
8 200888
9 199987
10 200984
11 201380
12 200662
13 201462
14 200655
15 200155
16 201253
17 201153
18 200347
19 200447
20 200947

About Jun Shima

Jun Shima is a scholar working on Molecular Biology, Biomedical Engineering, Food Science, Nutrition and Dietetics and Biotechnology, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (42 papers), Biofuel production and bioconversion (41 papers), Microbial Metabolic Engineering and Bioproduction (24 papers), Fermentation and Sensory Analysis (15 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 (1.1k citations), Biotechnology (292 citations), Molecular Biology (2.2k citations), Nutrition and Dietetics (387 citations) and Biomedical Engineering (923 citations). Jun Shima has collaborated with scholars based in Japan, Slovakia and Sri Lanka. Frequent co-authors include Hiroshi Takagi, Toshihide Nakamura, Shinichi Kawamoto, Jun Ogawa, Noriko Komatsuzaki, Toshinori Kimura, Akira Ando, Kozo Ochi, Susumu Okamoto and Andrew Hesketh. Their work appears in journals such as Applied and Environmental Microbiology, Bioscience Biotechnology and Biochemistry, International Journal of Food Microbiology, FEMS Yeast Research and Journal of Bacteriology.

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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