Akihiko Saitoh
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Virology top 2%
- Co-authors
- Yuta AizawaStephen A. SpectorNobuhiko OkabeCourtney V. FletcherKanako WatanabeHirokazu HotaniKingo TakiguchiTomohiro Oishi
- Topics
- Viral Infections and Immunology Research (36 papers)Respiratory viral infections research (29 papers)Parvovirus B19 Infection Studies (24 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Akihiko Saitoh
170 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 132
- Infectious Diseases 883
- Epidemiology 818
- Molecular Biology 440
- Cardiology and Cardiovascular Medicine 416
- Virology 276
Countries citing papers authored by Akihiko Saitoh
This map shows the geographic impact of Akihiko Saitoh'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 Akihiko Saitoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Saitoh more than expected).
Fields of papers citing papers by Akihiko Saitoh
This network shows the impact of papers produced by Akihiko Saitoh. 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 Akihiko Saitoh. The network helps show where Akihiko Saitoh may publish in the future.
Co-authorship network of co-authors of Akihiko Saitoh
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Saitoh. A scholar is included among the top collaborators of Akihiko Saitoh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akihiko Saitoh. Akihiko Saitoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | [Establishment of metastatic sub-clone from estrogen independent Ishikawa cells and its characterization in vitro and in vivo]. | 6 |
About Akihiko Saitoh
Akihiko Saitoh is a scholar working on Infectious Diseases, Microbiology and Virology, having authored 189 papers that have together received 2.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (36 papers), Respiratory viral infections research (29 papers) and Parvovirus B19 Infection Studies (24 papers). The work is most often cited by research in Virology (276 citations), Infectious Diseases (883 citations) and Microbiology (150 citations). Akihiko Saitoh has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yuta Aizawa, Stephen A. Spector, Nobuhiko Okabe, Courtney V. Fletcher, Kanako Watanabe, Hirokazu Hotani, Kingo Takiguchi, Tomohiro Oishi, Kensuke Shoji and Yohko Tanaka. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature 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.