Jun Takeuchi

1.5k citations
49 papers · 1.2k · h-index 21

Impact in

  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research
    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant Parasitism and Resistance
    • Plant nutrient uptake and metabolism
    • Plant responses to water stress

Papers in

Jun Takeuchi

45 papers receiving 1.1k citations

Peers

Jun Takeuchi
Comparison fields: 5 of 95
  • Cell Biology 200
  • Plant Science 441
  • Oral Surgery 60
  • Immunology and Allergy 47
  • Molecular Biology 480
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N. Tochio Japan
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Jean Jakoncic United States
Bijan Ahvazi United States
J. Coppey France
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Donald W. Pettigrew United States
Kazunobu Miura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jun Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2
Variation in glycosaminoglycan components of breast tumors.
1976107
3 1983105
4 201484
5 200651
6 197849
7 200748
8 202045
9 200945
10 202139
11 201935
12 201635
13 201831
14 200827
15 199426
16
Isolation and characterization of proteoglycans from human nonepithelial tumors.
198725
17 198824
18 201824
19 201524
20 197823

About Jun Takeuchi

Jun Takeuchi is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Plant Stress Responses and Tolerance (9 papers), Asymmetric Synthesis and Catalysis (9 papers), Plant Parasitism and Resistance (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Synthetic Organic Chemistry Methods (4 papers), Asymmetric Hydrogenation and Catalysis (4 papers) and Photochemistry and Electron Transfer Studies (4 papers). The work is most often cited by research in Cell Biology (200 citations), Plant Science (441 citations), Oral Surgery (60 citations), Immunology and Allergy (47 citations) and Molecular Biology (480 citations). Jun Takeuchi has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Masanori Okamoto, Mitsuko Sobue, Yasushi Todoroki, Yoshio Teki, Yozo Miura, Toshiyuki Ohnishi, Emiko Sato, Koh Miura, Mikihiro Shamoto and Soichi Iijima. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Organic & Biomolecular Chemistry, Tetrahedron Letters, Tetrahedron and Bioorganic & Medicinal Chemistry Letters.

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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