Kaoru Kusui
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Cell Adhesion Molecules Research 2
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- Cellular Mechanics and Interactions 2
- Co-authors
- Masahiro Yoshimura (2 shared papers)Yasuo Ihara (2 shared papers)Norio Ohkoshi (1 shared paper)Akira Tamaoka (1 shared paper)Riki Okeda (1 shared paper)Hiromasa Funato (1 shared paper)Kinya Ishikawa (1 shared paper)Kazuhiko Namekata (1 shared paper)
- Journals
- Molecular and Cellular Biochemistry (1 paper)The Journal of Biochemistry (1 paper)Journal of Biological Chemistry (1 paper)International Immunopharmacology (1 paper)Cellular Signalling (1 paper)
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Kaoru Kusui
10 papers receiving 344 citations
Peers
Comparison fields: 5 of 57
- Physiology 201
- Neurology 36
- Pharmacology 64
- Biological Psychiatry 9
- Cellular and Molecular Neuroscience 46
Countries citing papers authored by Kaoru Kusui
This map shows the geographic impact of Kaoru Kusui'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 Kaoru Kusui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Kusui more than expected).
Fields of papers citing papers by Kaoru Kusui
This network shows the impact of papers produced by Kaoru Kusui. 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 Kaoru Kusui. The network helps show where Kaoru Kusui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Kusui, 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 | Quantitation of amyloid beta-protein (A beta) in the cortex during aging and in Alzheimer's disease. | 1998 | 126 |
| 2 | 1999 | 87 | |
| 3 | 2002 | 36 | |
| 4 | 1991 | 27 | |
| 5 | 2001 | 21 | |
| 6 | 2003 | 20 | |
| 7 | 1991 | 18 | |
| 8 | 2004 | 5 | |
| 9 | 1995 | 5 | |
| 10 | 1998 | 4 |
About Kaoru Kusui
Kaoru Kusui is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Immunology and Physiology, having authored 10 papers that have together received 349 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Biochemical and Structural Characterization (3 papers), Cell Adhesion Molecules Research (2 papers), Cellular Mechanics and Interactions (2 papers), Alzheimer's disease research and treatments (2 papers), Prion Diseases and Protein Misfolding (2 papers), Biochemical Analysis and Sensing Techniques (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Physiology (201 citations), Neurology (36 citations), Pharmacology (64 citations), Biological Psychiatry (9 citations) and Cellular and Molecular Neuroscience (46 citations). Kaoru Kusui has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Masahiro Yoshimura, Yasuo Ihara, Norio Ohkoshi, Akira Tamaoka, Riki Okeda, Hiromasa Funato, Kinya Ishikawa, Kazuhiko Namekata, Yukiko Konami and Tadashi Kasahara. Their work appears in journals such as Molecular and Cellular Biochemistry, The Journal of Biochemistry, Journal of Biological Chemistry, International Immunopharmacology and Cellular Signalling.
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.