Ken Kitajima
- Cell Biology top 0.5%
- Proteoglycans and glycosaminoglycans research 28
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research 125
- Lipid Membrane Structure and Behavior 12
- Immunology top 2%
- Galectins and Cancer Biology 17
- Aquaculture disease management and microbiota 8
- Organic Chemistry top 1%
- Carbohydrate Chemistry and Synthesis 43
- Developmental Neuroscience top 2%
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- Monoclonal and Polyclonal Antibodies Research 18
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- Enzyme Production and Characterization 16
- Co-authors
- Chihiro SatoSadako InoueYasuo InoueTsukasa MatsudaShintaro InoueTadashi SuzukiYuuki InoueMasaya Hane
- Journals
- Journal of Biological Chemistry (42 papers)Glycobiology (19 papers)Biochemical and Biophysical Research Communications (18 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Ken Kitajima
181 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 118
- Cell Biology 1.3k
- Molecular Biology 4.3k
- Immunology 1.2k
- Organic Chemistry 1.3k
- Developmental Neuroscience 180
Countries citing papers authored by Ken Kitajima
This map shows the geographic impact of Ken Kitajima'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 Ken Kitajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Kitajima more than expected).
Fields of papers citing papers by Ken Kitajima
This network shows the impact of papers produced by Ken Kitajima. 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 Ken Kitajima. The network helps show where Ken Kitajima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken Kitajima, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2012 | 6 | |
| 11 | 2011 | 4 | |
| 12 | 2008 | 23 | |
| 13 | 2007 | 12 | |
| 14 | 2007 | 4 | |
| 15 | 2006 | 19 | |
| 16 | 1999 | 35 | |
| 17 | 1999 | 64 | |
| 18 | 1994 | 29 | |
| 19 | 1990 | 8 | |
| 20 | 1990 | 6 |
About Ken Kitajima
Ken Kitajima is a scholar working on Cell Biology, Molecular Biology and Biotechnology, having authored 184 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (125 papers), Carbohydrate Chemistry and Synthesis (43 papers), Proteoglycans and glycosaminoglycans research (28 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Galectins and Cancer Biology (17 papers), Enzyme Production and Characterization (16 papers), Lipid Membrane Structure and Behavior (12 papers) and Aquaculture disease management and microbiota (8 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (4.3k citations) and Immunology (1.2k citations). Ken Kitajima has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Chihiro Sato, Sadako Inoue, Yasuo Inoue, Tsukasa Matsuda, Shintaro Inoue, Tadashi Suzuki, Yuuki Inoue, Masaya Hane, Frederic A. Troy and Atsuto Seko. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Biochemical and Biophysical Research Communications, Scientific Reports and European Journal of Biochemistry.
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.