Jun Takeuchi

915 citations
57 papers · 719 · h-index 16

Impact in

Papers in

Jun Takeuchi

51 papers receiving 677 citations

Peers

Jun Takeuchi
Comparison fields: 5 of 80
  • Ophthalmology 144
  • Cell Biology 174
  • Condensed Matter Physics 104
  • Immunology and Allergy 40
  • Reproductive Medicine 51
Replace Daniel B. Moore with:
Daniel B. Moore United States
Satoshi Kawano Japan
Yuqiang Fang China
Xiaowei Liu China
Marie J. Hammer‐Wilson United States
John Mandeville United States
Jean M. Underwood United States
Jung-Woo Choi South Korea
Nirbhai Singh United States
Peiyuan Zhang China
Jun Takeuchi relative to Daniel B. Moore United States Daniel B. Moore's profile →
Citations per field
00.5×10×20×25.5×
Daniel B. Moore · 1×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2B1 antigen characteristically expressed on extracellular matrices of human malignant tumors is a large chondroitin sulfate proteoglycan, PG-M/versican.
199695
2 197961
3 201260
4 198753
5 199032
6 201929
7 198029
8 196528
9 198926
10 201725
11 201824
12 202021
13 202218
14 196218
15 202016
16 198915
17 198914
18 198212
19 198911
20 198110

About Jun Takeuchi

Jun Takeuchi is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Molecular Biology and Oncology, having authored 57 papers that have together received 719 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (16 papers), Proteoglycans and glycosaminoglycans research (9 papers), Retinal and Macular Surgery (7 papers), Glycosylation and Glycoproteins Research (5 papers), Retinal Imaging and Analysis (4 papers), Glaucoma and retinal disorders (4 papers), Physics of Superconductivity and Magnetism (4 papers) and Rare-earth and actinide compounds (4 papers). The work is most often cited by research in Ophthalmology (144 citations), Cell Biology (174 citations), Condensed Matter Physics (104 citations), Immunology and Allergy (40 citations) and Reproductive Medicine (51 citations). Jun Takeuchi has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Yoshika Masuda, Keiko Kataoka, Hiroko Terasaki, Toshiaki Fukatsu, Yasuki Ito, Nobuo Nakashima, Mitsuko Sobue, Tetsuro Nagasaka, Naomi Yamakawa and Takuo Tsuji. Their work appears in journals such as Retina, Journal of the Physical Society of Japan, Japanese Journal of Ophthalmology, Graefe s Archive for Clinical and Experimental Ophthalmology and Scientific Reports.

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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