Junko Kimura

769 citations
23 papers · 643 · h-index 15

Impact in

  • Virology top 10%
    • Poxvirus research and outbreaks
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Wnt/β-catenin signaling in development and cancer
    • RNA modifications and cancer

Papers in

    • RNA and protein synthesis mechanisms 11
    • Genomics and Phylogenetic Studies 5
    • Glycosylation and Glycoproteins Research 2
    • DNA and Nucleic Acid Chemistry 2
    • Enzyme Structure and Function 5

Junko Kimura

23 papers receiving 615 citations

Peers

Junko Kimura
Comparison fields: 5 of 76
  • Virology 70
  • Molecular Biology 414
  • Pathology and Forensic Medicine 99
  • Genetics 126
  • Oncology 106
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Citations per field
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Citations per year

Countries citing papers authored by Junko Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Junko Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequent mutation of beta-catenin and APC genes in primary colorectal tumors from patients with hereditary nonpolyposis colorectal cancer.
1999159
2 200576
3 198552
4 198447
5 198935
6 200433
7 201224
8 198724
9 198723
10 199622
11 198721
12 198719
13 198519
14 200115
15 198414
16 201313
17 199810
18 200310
19 20129
20 19888

About Junko Kimura

Junko Kimura is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Oncology and Epidemiology, having authored 23 papers that have together received 643 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Genomics and Phylogenetic Studies (5 papers), Bacterial Genetics and Biotechnology (5 papers), Enzyme Structure and Function (5 papers), Hepatitis C virus research (2 papers), Glycosylation and Glycoproteins Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Virology (70 citations), Molecular Biology (414 citations), Pathology and Forensic Medicine (99 citations), Genetics (126 citations) and Oncology (106 citations). Junko Kimura has collaborated with scholars based in Japan, Germany and South Korea. Frequent co-authors include Makoto Kimura, Keith Ashman, Takeo Iwama∥, Toshio Kuroki, Yukiko Hayashi, Michiko Miyaki, Takeru Iijima, Nobuyuki Shitara, Masamichi Yasuno and Takeo Mori. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Bioorganic & Medicinal Chemistry Letters, Canadian Journal of Microbiology and Veterinary Pathology.

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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