Akiko Ishii‐Watabe
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- Monoclonal and Polyclonal Antibodies Research 54
- Molecular Biology top 5%
- Protein purification and stability 40
- Glycosylation and Glycoproteins Research 19
- RNA Interference and Gene Delivery 10
- Viral Infectious Diseases and Gene Expression in Insects 10
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 22
- Genetics top 5%
- Virus-based gene therapy research 10
- Oncology top 10%
- HER2/EGFR in Cancer Research 5
- Co-authors
- Hiroyuki MizuguchiTakao HayakawaEriko UchidaZhili XuMinoru TadaTakuo SuzukiTeruhide YamaguchiToru Kawanishi
- Journals
- Journal of Biological Chemistry (2 papers)The Journal of Experimental Medicine (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akiko Ishii‐Watabe
92 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Radiology, Nuclear Medicine and Imaging 695
- Molecular Biology 1.7k
- Immunology 497
- Genetics 585
- Oncology 396
Countries citing papers authored by Akiko Ishii‐Watabe
This map shows the geographic impact of Akiko Ishii‐Watabe'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 Ishii‐Watabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Ishii‐Watabe more than expected).
Fields of papers citing papers by Akiko Ishii‐Watabe
This network shows the impact of papers produced by Akiko Ishii‐Watabe. 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 Ishii‐Watabe. The network helps show where Akiko Ishii‐Watabe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Ishii‐Watabe, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 5 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 16 | |
| 16 | 2014 | 49 | |
| 17 | 2014 | 26 | |
| 18 | 2011 | 24 | |
| 19 | 2010 | 2 | |
| 20 | 2004 | 8 |
About Akiko Ishii‐Watabe
Akiko Ishii‐Watabe is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (54 papers), Protein purification and stability (40 papers), Biosimilars and Bioanalytical Methods (22 papers), Glycosylation and Glycoproteins Research (19 papers), Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (10 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (695 citations), Molecular Biology (1.7k citations) and Immunology (497 citations). Akiko Ishii‐Watabe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroyuki Mizuguchi, Takao Hayakawa, Eriko Uchida, Zhili Xu, Minoru Tada, Takuo Suzuki, Teruhide Yamaguchi, Toru Kawanishi, Toshie Kanayasu‐Toyoda and Tetsu Kobayashi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.
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.