Jun-ichi Aikawa

890 citations
19 papers · 672 indexed · h-index 12

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Enzyme Production and Characterization

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Fungal and yeast genetics research 5
    • Biochemical and Structural Characterization 4
    • Carbohydrate Chemistry and Synthesis 7

Jun-ichi Aikawa

19 papers receiving 661 citations

Peers

Jun-ichi Aikawa
Comparison fields: 5 of 62
  • Cell Biology 397
  • Biotechnology 89
  • Molecular Biology 573
  • Organic Chemistry 155
  • Genetics 107
Replace Liat Fux with:
Liat Fux Israel
Stephen M. Manzella United States
Junji Umemoto Japan
Eckart Grabenhorst Germany
Mary C. Beranek United States
Tim Wong Hungary
Chihiro Yokoo Japan
J. L. ABERNETHY United States
Thomas E. Dorman United States
G E Conner United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun-ichi Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun-ichi Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001170
2 2001126
3 1999118
4 199864
5 199049
6 198930
7 201127
8 199616
9 201416
10 199013
11 201411
12 199311
13 19946
14 19955
15 19913
16 19923
17 19952
18 19951
19 19981

About Jun-ichi Aikawa

Jun-ichi Aikawa is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Biotechnology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 672 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (7 papers), Enzyme Production and Characterization (5 papers), Fungal and yeast genetics research (5 papers), Biochemical and Structural Characterization (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Biofuel production and bioconversion (2 papers). The work is most often cited by research in Cell Biology (397 citations), Biotechnology (89 citations), Molecular Biology (573 citations), Organic Chemistry (155 citations) and Genetics (107 citations). Jun-ichi Aikawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Jeffrey D. Esko, Kay Grobe, Masafumi Tsujimoto, Sueharu Horinouchi, Toru Beppu, Sara K. Olson, B. V. Smith, Maria Aparecida da Silva Pinhal, Koji Kimata and Makoto Nishiyama. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Journal of Bacteriology, Applied and Environmental Microbiology and Protein Engineering Design and Selection.

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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