Yu Kitago
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Protein Structure and Dynamics 3
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Junichi Takagi (10 shared papers)Isao Tanaka (7 shared papers)Nobuhisa Watanabe (7 shared papers)Masamichi Nagae (4 shared papers)Yukiko Matsunaga (2 shared papers)Takao Arimori (3 shared papers)Shizuka Takagi‐Niidome (2 shared papers)Emiko Mihara (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Science Advances (1 paper)Protein Expression and Purification (1 paper)Structure (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Yu Kitago
21 papers receiving 718 citations
Peers
Comparison fields: 5 of 76
- Biotechnology 72
- Developmental Neuroscience 28
- Structural Biology 10
- Molecular Biology 441
- Immunology and Allergy 34
Countries citing papers authored by Yu Kitago
This map shows the geographic impact of Yu Kitago'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 Yu Kitago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Kitago more than expected).
Fields of papers citing papers by Yu Kitago
This network shows the impact of papers produced by Yu Kitago. 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 Yu Kitago. The network helps show where Yu Kitago may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Kitago, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2008 | 88 | |
| 3 | 2018 | 77 | |
| 4 | 2016 | 65 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 46 | |
| 7 | 2017 | 42 | |
| 8 | 2007 | 40 | |
| 9 | 2011 | 34 | |
| 10 | 2005 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2005 | 19 | |
| 13 | 2010 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2009 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2006 | 4 | |
| 20 | 2016 | 3 |
About Yu Kitago
Yu Kitago is a scholar working on Molecular Biology, Physiology, Materials Chemistry, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 727 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Alzheimer's disease research and treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Structure and Dynamics (3 papers), Galectins and Cancer Biology (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Biotechnology (72 citations), Developmental Neuroscience (28 citations), Structural Biology (10 citations), Molecular Biology (441 citations) and Immunology and Allergy (34 citations). Yu Kitago has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Junichi Takagi, Isao Tanaka, Nobuhisa Watanabe, Masamichi Nagae, Yukiko Matsunaga, Takao Arimori, Shizuka Takagi‐Niidome, Emiko Mihara, Hiroaki Suga and Yuki Fujii. Their work appears in journals such as Journal of Biological Chemistry, Science Advances, Protein Expression and Purification, Structure and Biochemical and Biophysical Research Communications.
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.