Atsuko Saito‐Ito
- Parasitology top 2%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Insect Science top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Shenyi HeNobuhiro TakadaKazuyuki TanabeTetsuo HashimotoYasuhiro YanoToshimitsu MatsuiT MatsumuraMasayoshi Tsuji
- Topics
- Vector-borne infectious diseases (15 papers)Mosquito-borne diseases and control (11 papers)Viral Infections and Vectors (6 papers)
In The Last Decade
Atsuko Saito‐Ito
22 papers receiving 403 citations
Peers
Comparison fields: 5 of 48
- Parasitology 282
- Public Health, Environmental and Occupational Health 186
- Infectious Diseases 162
- Insect Science 82
- Ecology, Evolution, Behavior and Systematics 70
Countries citing papers authored by Atsuko Saito‐Ito
This map shows the geographic impact of Atsuko Saito‐Ito'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 Atsuko Saito‐Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuko Saito‐Ito more than expected).
Fields of papers citing papers by Atsuko Saito‐Ito
This network shows the impact of papers produced by Atsuko Saito‐Ito. 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 Atsuko Saito‐Ito. The network helps show where Atsuko Saito‐Ito may publish in the future.
Co-authorship network of co-authors of Atsuko Saito‐Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Saito‐Ito. A scholar is included among the top collaborators of Atsuko Saito‐Ito 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 Atsuko Saito‐Ito. Atsuko Saito‐Ito 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 | 6 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 24 | |
| 9 | 14 | |
| 10 | 27 | |
| 11 | 26 | |
| 12 | 30 | |
| 13 | 3 | |
| 14 | [First documentation of transfusion-associated babesiosis in Japan]. | 26 |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 9 | |
| 18 | 34 | |
| 19 | A PCR method for molecular epidemiology of Plasmodium falciparum Msp-1. | 10 |
| 20 | 20 |
About Atsuko Saito‐Ito
Atsuko Saito‐Ito is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Insect Science, having authored 23 papers that have together received 410 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Mosquito-borne diseases and control (11 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Parasitology (282 citations), Infectious Diseases (162 citations) and Insect Science (82 citations). Atsuko Saito‐Ito has collaborated with scholars based in Japan, China and Taiwan. Frequent co-authors include Shenyi He, Nobuhiro Takada, Kazuyuki Tanabe, Tetsuo Hashimoto, Yasuhiro Yano, Toshimitsu Matsui, T Matsumura, Masayoshi Tsuji, M Kohsaki and Chiaki Ishihara. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Microbiology and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.