Junko Kimura
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
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- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Wnt/β-catenin signaling in development and cancer
- RNA modifications and cancer
Papers in
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- RNA and protein synthesis mechanisms 11
- Genomics and Phylogenetic Studies 5
- Glycosylation and Glycoproteins Research 2
- DNA and Nucleic Acid Chemistry 2
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- Enzyme Structure and Function 5
- Co-authors
- Makoto Kimura (7 shared papers)Keith Ashman (1 shared paper)Michiko Miyaki (1 shared paper)Toshio Kuroki (1 shared paper)Takeo Mori (1 shared paper)Takeo Iwama∥ (1 shared paper)Takeru Iijima (1 shared paper)Masamichi Yasuno (1 shared paper)
In The Last Decade
Junko Kimura
23 papers receiving 617 citations
Peers
Comparison fields: 5 of 75
- Virology 69
- Molecular Biology 395
- Pathology and Forensic Medicine 86
- Genetics 120
- Hepatology 26
Countries citing papers authored by Junko Kimura
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
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.
All Works
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. | 1999 | 159 |
| 2 | 2005 | 76 | |
| 3 | 1985 | 52 | |
| 4 | 1984 | 47 | |
| 5 | 1989 | 35 | |
| 6 | 2004 | 33 | |
| 7 | 2012 | 25 | |
| 8 | 1987 | 24 | |
| 9 | 1987 | 23 | |
| 10 | 1996 | 22 | |
| 11 | 1987 | 21 | |
| 12 | 1987 | 19 | |
| 13 | 1985 | 19 | |
| 14 | 2001 | 15 | |
| 15 | 1984 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 1998 | 10 | |
| 18 | 2003 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 1988 | 8 |
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 644 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Enzyme Structure and Function (5 papers), Genomics and Phylogenetic Studies (5 papers), Bacterial Genetics and Biotechnology (5 papers), Glycosylation and Glycoproteins Research (2 papers), HIV/AIDS drug development and treatment (2 papers), Hepatitis C virus research (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Virology (69 citations), Molecular Biology (395 citations), Pathology and Forensic Medicine (86 citations), Genetics (120 citations) and Hepatology (26 citations). Junko Kimura has collaborated with scholars based in Japan, Germany and Egypt. Frequent co-authors include Makoto Kimura, Keith Ashman, Michiko Miyaki, Toshio Kuroki, Takeo Mori, Takeo Iwama∥, Takeru Iijima, Masamichi Yasuno, Morio Koike and Nobuyuki Shitara. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Bioorganic & Medicinal Chemistry Letters, Veterinary Pathology and Journal of Virology.
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.