Jun‐ichi Mashimo

1.3k citations
25 papers · 1.1k · h-index 12

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 6
    • Glycosylation and Glycoproteins Research 4
    • RNA Interference and Gene Delivery 3
    • TGF-β signaling in diseases 3
    • Bacteriophages and microbial interactions 5

Jun‐ichi Mashimo

24 papers receiving 1.1k citations

Peers

Jun‐ichi Mashimo
Comparison fields: 5 of 88
  • Immunology and Allergy 194
  • Immunology 290
  • Molecular Biology 666
  • Cell Biology 150
  • Microbiology 42
Replace D. Resnick with:
D. Resnick United States
Stephen Demczuk Switzerland
L. Tarcsay Switzerland
J I Gordon United States
Norihito Kawasaki Japan
Gulnar M. Shivji Canada
Velma G. George United States
Sarkis H. Ohanian United States
Diane Bosse United States
C Gallegos United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐ichi Mashimo

Since Specialization
Citations

This map shows the geographic impact of Jun‐ichi Mashimo'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 Mashimo 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 Mashimo more than expected).

Fields of papers citing papers by Jun‐ichi Mashimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993238
2 1985202
3 1994181
4 200184
5 199779
6 200376
7 199746
8 198538
9 198732
10 198630
11 198523
12 197912
13 198811
14 20009
15 19878
16 20078
17 19887
18 19886
19 19954
20 19914

About Jun‐ichi Mashimo

Jun‐ichi Mashimo is a scholar working on Molecular Biology, Ecology, Food Science, Immunology and Allergy and Immunology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Bacteriophages and microbial interactions (5 papers), Glycosylation and Glycoproteins Research (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Cell Adhesion Molecules Research (4 papers), RNA Interference and Gene Delivery (3 papers), Pharmacy and Medical Practices (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Immunology and Allergy (194 citations), Immunology (290 citations), Molecular Biology (666 citations), Cell Biology (150 citations) and Microbiology (42 citations). Jun‐ichi Mashimo has collaborated with scholars based in Japan and United States. Frequent co-authors include Kiyoshi Nose, Motoko Shibanuma, Toshio Kuroki, Akira Mita, Nobuhiko Kasai, Naoyuki Nishiya, Haruhiko Takada, S Kotani, Ichiro Takahashi and M Tsujimoto. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular and Cellular Biology, Infection and Immunity, Cancer Letters and Gene.

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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