Jun Iwaki

659 citations
24 papers · 536 · h-index 13

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Toxin Mechanisms and Immunotoxins
    • Glycosylation and Glycoproteins Research
    • Signaling Pathways in Disease

Papers in

    • Glycosylation and Glycoproteins Research 12
    • RNA and protein synthesis mechanisms 6
    • RNA modifications and cancer 6
    • Genomics and Phylogenetic Studies 4
    • Signaling Pathways in Disease 3
    • Galectins and Cancer Biology 11
    • Toxin Mechanisms and Immunotoxins 6

Jun Iwaki

24 papers receiving 532 citations

Peers

Jun Iwaki
Comparison fields: 5 of 65
  • Immunology 290
  • Molecular Biology 425
  • Cancer Research 59
  • Radiology, Nuclear Medicine and Imaging 86
  • Organic Chemistry 80
Replace Selvi Ramasamy with:
Selvi Ramasamy United States
Athanasios Blanas Netherlands
Miroslava Janković Serbia
Rachel J. Quin Australia
Nobuto Koyama Japan
Sebastián Dergan‐Dylon Argentina
Yiling Mi United States
Bhairavi N. Vajaria India
J Spielman United States
Andreia Almeida Portugal
Jun Iwaki relative to Selvi Ramasamy United States Selvi Ramasamy's profile →
Citations per field
00.5×2.9×
Selvi Ramasamy · 1×
Citations per year

Countries citing papers authored by Jun Iwaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Iwaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008110
2 200861
3 201747
4 201344
5 201843
6 200836
7 201133
8 201530
9 201428
10 200922
11 201316
12 201315
13 201714
14 19828
15 20024
16 20024
17 20054
18 20053
19 20243
20 19793

About Jun Iwaki

Jun Iwaki is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Biotechnology, having authored 24 papers that have together received 536 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Galectins and Cancer Biology (11 papers), RNA and protein synthesis mechanisms (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), RNA modifications and cancer (6 papers), Genomics and Phylogenetic Studies (4 papers), Signaling Pathways in Disease (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (290 citations), Molecular Biology (425 citations), Cancer Research (59 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Organic Chemistry (80 citations). Jun Iwaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Jun Hirabayashi, Hiroaki Tateno, Hisashi Narimatsu, Nozomu Nishi, Takanori Nakamura, Toshihiro Takizawa, Atsushi Kuno, Akira Mori, Noboru Uchiyama and Takeshi Shikanai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Proteome Research, Glycobiology, Scientific Reports and JNCI Journal of the National Cancer Institute.

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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