Jun Komatsu

597 citations
15 papers · 400 · h-index 9

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • DNA and Nucleic Acid Chemistry 4
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • RNA and protein synthesis mechanisms 2
    • DNA Repair Mechanisms 2
    • Microfluidic and Capillary Electrophoresis Applications 3

Jun Komatsu

13 papers receiving 393 citations

Peers

Jun Komatsu
Comparison fields: 5 of 76
  • Health Informatics 16
  • Structural Biology 7
  • Biomedical Engineering 164
  • Molecular Biology 219
  • Family Practice 5
Replace Maike C. Jürgens with:
Maike C. Jürgens Sweden
Andrey Mikheikin Russia
Yury E. Glazyrin Russia
Dalia Dhingra United States
Toshiyuki Hatano Japan
Albert S. W. Kang United States
Andrew J. Borst United States
Jeffrey G. Reifenberger United States
Michael Haffner Germany
Margherita Marchetti Netherlands
Jun Komatsu relative to Maike C. Jürgens Sweden Maike C. Jürgens's profile →
Citations per field
00.5×1.5×1.8×
Maike C. Jürgens · 1×
Citations per year

Countries citing papers authored by Jun Komatsu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Komatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003170
2 201246
3 200538
4 200135
5 201026
6 201524
7 202420
8 200211
9 200610
10 20237
11 20047
12 20054
13 20041
14 20051
15 20050

About Jun Komatsu

Jun Komatsu is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 15 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacteriophages and microbial interactions (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), RNA and protein synthesis mechanisms (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Health Informatics (16 citations), Structural Biology (7 citations), Biomedical Engineering (164 citations), Molecular Biology (219 citations) and Family Practice (5 citations). Jun Komatsu has collaborated with scholars based in Japan, France and Germany. Frequent co-authors include Akira Mizuno, Shinji Katsura, Michihiko Nakano, Kazunori Takashima, Shun‐ichi Matsuura, Hirofumi Kurita, Aaron Bensimon, Emmanuel Conseiller, Attila Németh and Marina Cavazzana. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Human Mutation, Electrophoresis, Applied Physics Letters and Journal of Biotechnology.

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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