Eiichiro Uchimura

1.2k citations
19 papers · 969 · h-index 14

Impact in

Papers in

    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 3
    • Glycosylation and Glycoproteins Research 3
    • Electrospun Nanofibers in Biomedical Applications 5

Eiichiro Uchimura

19 papers receiving 942 citations

Peers

Eiichiro Uchimura
Comparison fields: 5 of 92
  • Biomaterials 353
  • Molecular Medicine 52
  • Pharmaceutical Science 41
  • Bioengineering 37
  • Biomedical Engineering 289
Replace Benjamin D. Almquist with:
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Citations per field
00.5×2.6×
Benjamin D. Almquist · 1×
Citations per year

Countries citing papers authored by Eiichiro Uchimura

Since Specialization
Citations

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

Fields of papers citing papers by Eiichiro Uchimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2003290
2 2004114
3 2008111
4 200468
5
Totally synthetic polymer with lectin-like function: induction of killer cells by the copolymer of 3-acrylamidophenylboronic acid with N,N-dimethylacrylamide.
200155
6 200751
7 200051
8 200350
9 200347
10 200525
11 200724
12 200923
13 200721
14 200317
15 200711
16 20095
17 20013
18 20062
19
Advances in Transfection Microarray^ -based studies of neuronal cell lines
20041

About Eiichiro Uchimura

Eiichiro Uchimura is a scholar working on Molecular Biology, Biomaterials, Surgery, Biomedical Engineering and Immunology, having authored 19 papers that have together received 969 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Glycosylation and Glycoproteins Research (3 papers), Immune Cell Function and Interaction (3 papers), Bone Tissue Engineering Materials (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biomaterials (353 citations), Molecular Medicine (52 citations), Pharmaceutical Science (41 citations), Bioengineering (37 citations) and Biomedical Engineering (289 citations). Eiichiro Uchimura has collaborated with scholars based in Japan. Frequent co-authors include Hidenori Otsuka, Kazunori Kataoka, Teruo Okano, Hiroyuki Koshino, Jun Miyake, Masato Miyake, Daniel P. Funeriu, Shigemitsu Iwai, Michiko Kishi and Yoshiki Sawa. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Biotechnology and Bioengineering, The Annals of Thoracic Surgery, Journal of the American Chemical Society and Calcified Tissue International.

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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