Noriko Kusukawa
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 3
- Molecular Biology top 10%
- Molecular Biology Techniques and Applications 8
- Heat shock proteins research 7
- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- Molecular Medicine top 10%
- Cell Biology top 10%
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- thermodynamics and calorimetric analyses 5
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- Microbial Community Ecology and Physiology 2
- Co-authors
- Takashi YuraKoreaki ItoYoshinori AkiyamaArun J. NatarajW. Edward HighsmithKiyozo AsadaIsabelle Olivos‐GlanderTakashi Uemori
- Partner nations
- JapanUnited States
In The Last Decade
Noriko Kusukawa
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Endocrinology 88
- Genetics 478
- Molecular Biology 993
- Molecular Medicine 59
- Cell Biology 136
Countries citing papers authored by Noriko Kusukawa
This map shows the geographic impact of Noriko Kusukawa'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 Noriko Kusukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Kusukawa more than expected).
Fields of papers citing papers by Noriko Kusukawa
This network shows the impact of papers produced by Noriko Kusukawa. 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 Noriko Kusukawa. The network helps show where Noriko Kusukawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noriko Kusukawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 2 | |
| 2 | 2007 | 8 | |
| 3 | 1999 | 30 | |
| 4 | 1999 | 190 | |
| 5 | 1999 | 33 | |
| 6 | 1999 | 24 | |
| 7 | 1999 | 1 | |
| 8 | GelStar nucleic acid gel stain: high sensitivity detection in gels. | 1999 | 8 |
| 9 | 1999 | 1 | |
| 10 | 1998 | 19 | |
| 11 | 1997 | 21 | |
| 12 | 1997 | 1 | |
| 13 | 1992 | 10 | |
| 14 | 1990 | 9 | |
| 15 | Rapid and reliable protocol for direct sequencing of material amplified by the polymerase chain reaction. | 1990 | 186 |
| 16 | 1989 | 34 | |
| 17 | 1988 | 29 | |
| 18 | 1988 | 151 | |
| 19 | 1987 | 47 | |
| 20 | 1987 | 19 |
About Noriko Kusukawa
Noriko Kusukawa is a scholar working on Physical and Theoretical Chemistry, Molecular Medicine, Molecular Biology, Environmental Chemistry and Cell Biology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Heat shock proteins research (7 papers), thermodynamics and calorimetric analyses (5 papers), Protein Structure and Dynamics (3 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Microbial Community Ecology and Physiology (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Endocrinology (88 citations), Genetics (478 citations), Molecular Biology (993 citations), Molecular Medicine (59 citations) and Cell Biology (136 citations). Noriko Kusukawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Yura, Koreaki Ito, Yoshinori Akiyama, Arun J. Nataraj, W. Edward Highsmith, Kiyozo Asada, Isabelle Olivos‐Glander, Takashi Uemori, Ikuma Kato and Chiharu Ueguchi. Their work appears in journals such as Electrophoresis, BioTechniques, Journal of Bacteriology, Journal of Interferon & Cytokine Research and Genes & Development.
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.