Akiko Koide
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Protein purification and stability
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 49
-
- Cell Adhesion Molecules Research 9
- Co-authors
- Shohei KoideKoki MakabeXiaolin HuangCharles W. BaileyMatthew BiancalanaAnthony A. KossiakoffRyan GilbrethSachdev S. Sidhu
- Journals
- Journal of Molecular Biology (23 papers)Proceedings of the National Academy of Sciences (20 papers)Nature Communications (9 papers)Nature (6 papers)Nature Chemical Biology (4 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Akiko Koide
108 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 1.9k
- Molecular Biology 4.4k
- Immunology and Allergy 247
- Structural Biology 47
- Oncology 780
Countries citing papers authored by Akiko Koide
This map shows the geographic impact of Akiko Koide'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 Akiko Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Koide more than expected).
Fields of papers citing papers by Akiko Koide
This network shows the impact of papers produced by Akiko Koide. 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 Akiko Koide. The network helps show where Akiko Koide may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Koide, 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 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 36 | |
| 9 | 2022 | 44 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 70 | |
| 12 | 2013 | 114 | |
| 13 | 2013 | 78 | |
| 14 | 2013 | 51 | |
| 15 | 2012 | 72 | |
| 16 | 2011 | 157 | |
| 17 | 2008 | 81 | |
| 18 | 2007 | 111 | |
| 19 | 2007 | 146 | |
| 20 | 2002 | 115 |
About Akiko Koide
Akiko Koide is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology, Oncology and Biotechnology, having authored 110 papers that have together received 5.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (49 papers), Glycosylation and Glycoproteins Research (15 papers), Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (12 papers), RNA and protein synthesis mechanisms (11 papers), Cell Adhesion Molecules Research (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Advanced Biosensing Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Molecular Biology (4.4k citations), Immunology and Allergy (247 citations), Structural Biology (47 citations) and Oncology (780 citations). Akiko Koide has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Shohei Koide, Koki Makabe, Xiaolin Huang, Charles W. Bailey, Matthew Biancalana, Anthony A. Kossiakoff, Ryan Gilbreth, Sachdev S. Sidhu, John Wojcik and Valentina Tereshko. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Nature Communications, Nature and Nature Chemical Biology.
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.