Natsuko Imai
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 0.5%
- Epidemiology
- Economics and Econometrics top 10%
- Co-authors
- Neil M. FergusonIlaria DorigattiAnne CoriChristl A. DonnellyLorenzo CattarinoDerek A. T. CummingsIsabel Rodríguez-BarraquerSimon Cauchemez
- Topics
- COVID-19 epidemiological studies (14 papers)Viral Infections and Outbreaks Research (10 papers)Mosquito-borne diseases and control (10 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomJapanFrance
In The Last Decade
Natsuko Imai
40 papers receiving 879 citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 453
- Public Health, Environmental and Occupational Health 440
- Modeling and Simulation 370
- Epidemiology 109
- Economics and Econometrics 91
Countries citing papers authored by Natsuko Imai
This map shows the geographic impact of Natsuko Imai'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 Natsuko Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natsuko Imai more than expected).
Fields of papers citing papers by Natsuko Imai
This network shows the impact of papers produced by Natsuko Imai. 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 Natsuko Imai. The network helps show where Natsuko Imai may publish in the future.
Co-authorship network of co-authors of Natsuko Imai
This figure shows the co-authorship network connecting the top 25 collaborators of Natsuko Imai. A scholar is included among the top collaborators of Natsuko Imai 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 Natsuko Imai. Natsuko Imai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 58 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | 141 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 30 | |
| 20 | 32 |
About Natsuko Imai
Natsuko Imai is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 903 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Viral Infections and Outbreaks Research (10 papers) and Mosquito-borne diseases and control (10 papers). The work is most often cited by research in Modeling and Simulation (370 citations), Infectious Diseases (453 citations) and Public Health, Environmental and Occupational Health (440 citations). Natsuko Imai has collaborated with scholars based in United Kingdom, Japan and France. Frequent co-authors include Neil M. Ferguson, Ilaria Dorigatti, Anne Cori, Christl A. Donnelly, Lorenzo Cattarino, Derek A. T. Cummings, Isabel Rodríguez-Barraquer, Simon Cauchemez, Marc Baguelin and S Riley. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.