Kazuko Nishimura
Impact in
- Microbiology top 0.1%
- Actinomycetales infections and treatment
- Infectious Diseases top 0.5%
- Antifungal resistance and susceptibility
Papers in
- Epidemiology 159
- Fungal Infections and Studies 131
- Nail Diseases and Treatments 60
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- Antifungal resistance and susceptibility 104
- Co-authors
- Makoto Miyaji (162 shared papers)Reiko Tanaka (29 shared papers)Yuzuru Mikami (26 shared papers)Katsuhiko Kamei (34 shared papers)Kazutaka Fukushima (30 shared papers)Katsukiyo Yazawa (14 shared papers)Kanji Takeo (23 shared papers)Akiko Kageyama (11 shared papers)
In The Last Decade
Kazuko Nishimura
300 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 134
- Microbiology 422
- Infectious Diseases 2.0k
- Small Animals 769
- Cell Biology 1.6k
- Epidemiology 2.5k
Countries citing papers authored by Kazuko Nishimura
This map shows the geographic impact of Kazuko Nishimura'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 Kazuko Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuko Nishimura more than expected).
Fields of papers citing papers by Kazuko Nishimura
This network shows the impact of papers produced by Kazuko Nishimura. 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 Kazuko Nishimura. The network helps show where Kazuko Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuko Nishimura, 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 306 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 122 | |
| 2 | 2004 | 110 | |
| 3 | 2001 | 97 | |
| 4 | 1994 | 95 | |
| 5 | 2007 | 85 | |
| 6 | 2003 | 76 | |
| 7 | 2004 | 72 | |
| 8 | 1987 | 70 | |
| 9 | 2004 | 66 | |
| 10 | 1982 | 66 | |
| 11 | 2001 | 56 | |
| 12 | 2001 | 54 | |
| 13 | 2000 | 54 | |
| 14 | 2001 | 53 | |
| 15 | 1994 | 53 | |
| 16 | 1990 | 53 | |
| 17 | 2002 | 49 | |
| 18 | 2003 | 49 | |
| 19 | 2004 | 49 | |
| 20 | 1996 | 47 |
About Kazuko Nishimura
Kazuko Nishimura is a scholar working on Epidemiology, Infectious Diseases, Cell Biology, Molecular Biology and Plant Science, having authored 306 papers that have together received 5.0k indexed citations. Recurring topics across this work include Fungal Infections and Studies (131 papers), Antifungal resistance and susceptibility (104 papers), Plant Pathogens and Fungal Diseases (101 papers), Nail Diseases and Treatments (60 papers), Infectious Diseases and Mycology (38 papers), Yeasts and Rust Fungi Studies (32 papers), Mycotoxins in Agriculture and Food (22 papers) and Genomics and Phylogenetic Studies (16 papers). The work is most often cited by research in Microbiology (422 citations), Infectious Diseases (2.0k citations), Small Animals (769 citations), Cell Biology (1.6k citations) and Epidemiology (2.5k citations). Kazuko Nishimura has collaborated with scholars based in Japan, Brazil and China. Frequent co-authors include Makoto Miyaji, Reiko Tanaka, Yuzuru Mikami, Katsuhiko Kamei, Kazutaka Fukushima, Katsukiyo Yazawa, Kanji Takeo, Akiko Kageyama, Hideaki Taguchi and Ayako Sano. Their work appears in journals such as Mycopathologia, Medical Mycology, Journal of Clinical Microbiology, Mycoses and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.
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.