Jun-ichi Aikawa

891 citations
19 papers · 674 · h-index 12

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Enzyme Production and Characterization

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Fungal and yeast genetics research 5
    • Biochemical and Structural Characterization 4
    • Congenital heart defects research 2
    • Carbohydrate Chemistry and Synthesis 7

Jun-ichi Aikawa

19 papers receiving 663 citations

Peers

Jun-ichi Aikawa
Comparison fields: 5 of 59
  • Cell Biology 395
  • Biotechnology 88
  • Molecular Biology 552
  • Organic Chemistry 153
  • Hematology 41
Replace Liat Fux with:
Liat Fux Israel
Stephen M. Manzella United States
T Harada Japan
Eckart Grabenhorst Germany
Mary C. Beranek United States
Chihiro Yokoo Japan
J. L. ABERNETHY United States
Thomas E. Dorman United States
J K Welply United States
S Hirani 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 2001171
2 2001127
3 1999118
4 199864
5 199049
6 198930
7 201127
8 201416
9 199616
10 199013
11 199311
12 201411
13 19946
14 19955
15 19913
16 19923
17 19952
18 19981
19 19951

About Jun-ichi Aikawa

Jun-ichi Aikawa is a scholar working on Molecular Biology, Organic Chemistry, Biotechnology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 674 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (7 papers), Fungal and yeast genetics research (5 papers), Enzyme Production and Characterization (5 papers), Biochemical and Structural Characterization (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Congenital heart defects research (2 papers) and Biofuel production and bioconversion (2 papers). The work is most often cited by research in Cell Biology (395 citations), Biotechnology (88 citations), Molecular Biology (552 citations), Organic Chemistry (153 citations) and Hematology (41 citations). Jun-ichi Aikawa has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Jeffrey D. Esko, Masafumi Tsujimoto, Kay Grobe, Sueharu Horinouchi, Toru Beppu, Maria Aparecida da Silva Pinhal, Koji Kimata, Sara K. Olson, B. V. Smith and Makoto Nishiyama. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, The Journal of Biochemistry, Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology.

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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