Kazuki Nakajima
- Immunology top 10%
- Galectins and Cancer Biology 11
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 33
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis 20
- Cell Biology top 10%
- Cellular transport and secretion 3
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- Monoclonal and Polyclonal Antibodies Research 8
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- Cancer, Hypoxia, and Metabolism 5
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- Lysosomal Storage Disorders Research 4
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- Microfluidic and Capillary Electrophoresis Applications 4
- Co-authors
- Naoyuki TaniguchiKazuaki KakehiTakashi AngataShinobu KitazumeKazuaki OhtsuboYasuhiko KizukaYoshiki YamaguchiEri Nobusawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (7 papers)Analytical Chemistry (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Kazuki Nakajima
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Immunology 357
- Molecular Biology 1.0k
- Organic Chemistry 343
- Cell Biology 194
- Radiology, Nuclear Medicine and Imaging 174
Countries citing papers authored by Kazuki Nakajima
This map shows the geographic impact of Kazuki Nakajima'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 Kazuki Nakajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Nakajima more than expected).
Fields of papers citing papers by Kazuki Nakajima
This network shows the impact of papers produced by Kazuki Nakajima. 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 Kazuki Nakajima. The network helps show where Kazuki Nakajima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuki Nakajima, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 77 | |
| 11 | 2016 | 68 | |
| 12 | 2016 | 17 | |
| 13 | 2014 | 10 | |
| 14 | 2014 | 39 | |
| 15 | 2012 | 26 | |
| 16 | 2005 | 33 | |
| 17 | 2003 | 51 | |
| 18 | Accumulation and biosynthesis of calystegines in potato. | 2000 | 2 |
| 19 | 1995 | 9 | |
| 20 | Effect of supplemental dietary feeding attractant, dimethyl-beta-propiothetin, on growth of goldfish [Crassius auratus] | 1989 | 3 |
About Kazuki Nakajima
Kazuki Nakajima is a scholar working on Immunology, Organic Chemistry and Molecular Biology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (33 papers), Carbohydrate Chemistry and Synthesis (20 papers), Galectins and Cancer Biology (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), Lysosomal Storage Disorders Research (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Immunology (357 citations), Molecular Biology (1.0k citations) and Organic Chemistry (343 citations). Kazuki Nakajima has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Naoyuki Taniguchi, Kazuaki Kakehi, Takashi Angata, Shinobu Kitazume, Kazuaki Ohtsubo, Yasuhiko Kizuka, Yoshiki Yamaguchi, Eri Nobusawa, M Matsumoto and Yasuhiro Nagao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry.
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.