Jun Hitomi

829 citations
19 papers · 658 · h-index 14

Impact in

    • Enzyme Production and Characterization
    • Protein Hydrolysis and Bioactive Peptides
    • Enzyme Catalysis and Immobilization
    • Genomics and Phylogenetic Studies

Papers in

    • Enzyme Production and Characterization 9
    • Genomics and Phylogenetic Studies 3
    • Protein Hydrolysis and Bioactive Peptides 3

Jun Hitomi

19 papers receiving 623 citations

Peers

Jun Hitomi
Comparison fields: 5 of 97
  • Biotechnology 359
  • Molecular Biology 370
  • Plant Science 175
  • Endocrinology 22
  • Food Science 67
Replace J. Chaloupka with:
J. Chaloupka Czechia
Pervin Başaran Türkiye
Mohammad Shakhawat Hussain South Korea
Karl-Ludwig Schimz Germany
Mohammad Shahedur Rahman Bangladesh
Osamu Akita Japan
Amandine Gastebois France
John S. Novak United States
Chung‐Saint Lin Taiwan
Danielle Biscaro Pedrolli Brazil
Jun Hitomi relative to J. Chaloupka Czechia J. Chaloupka's profile →
Citations per field
00.5×8.3×
J. Chaloupka · 1×
Citations per year

Countries citing papers authored by Jun Hitomi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hitomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199598
2 199794
3 199662
4 201253
5 200250
6 201148
7 201245
8 199640
9 199535
10 201224
11 201123
12 199418
13 201216
14 201215
15 200713
16 201613
17 19956
18 20194
19 20151

About Jun Hitomi

Jun Hitomi is a scholar working on Biotechnology, Molecular Biology, Plant Science, Pathology and Forensic Medicine and Materials Chemistry, having authored 19 papers that have together received 658 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (9 papers), Genomics and Phylogenetic Studies (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Tea Polyphenols and Effects (3 papers), Phytase and its Applications (3 papers), Enzyme Structure and Function (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Biotechnology (359 citations), Molecular Biology (370 citations), Plant Science (175 citations), Endocrinology (22 citations) and Food Science (67 citations). Jun Hitomi has collaborated with scholars based in Japan. Frequent co-authors include Sadayoshi Ito, Tohru Kobayashi, Yoshihiro Hakamada, Hiromi Kubota, Shuji Kawai, K Koike, Tohru Kobayashi, Susumu Ito, Motokazu Nakayama and Tamaichi Ashida. Their work appears in journals such as Applied Microbiology and Biotechnology, Food Control, Extremophiles, Protein Engineering Design and Selection and Journal of Biological Chemistry.

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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