Natsuko Imai

15.6k total citations
40 papers, 903 citations indexed

About

Natsuko Imai is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Natsuko Imai has authored 40 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 16 papers in Public Health, Environmental and Occupational Health and 14 papers in Modeling and Simulation. Recurrent topics in Natsuko Imai's work include COVID-19 epidemiological studies (14 papers), Viral Infections and Outbreaks Research (10 papers) and Mosquito-borne diseases and control (10 papers). Natsuko Imai is often cited by papers focused on COVID-19 epidemiological studies (14 papers), Viral Infections and Outbreaks Research (10 papers) and Mosquito-borne diseases and control (10 papers). Natsuko Imai collaborates with scholars based in United Kingdom, Japan and France. Natsuko Imai's 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 and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Natsuko Imai

40 papers receiving 879 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natsuko Imai United Kingdom 15 453 440 370 109 91 40 903
Claude Flamand France 17 421 0.9× 524 1.2× 154 0.4× 116 1.1× 37 0.4× 50 835
Lei Luo China 19 635 1.4× 449 1.0× 330 0.9× 199 1.8× 60 0.7× 57 1.1k
Edward A. Wenger United States 19 430 0.9× 767 1.7× 247 0.7× 279 2.6× 59 0.6× 33 1.4k
Shang Xia China 16 274 0.6× 369 0.8× 223 0.6× 131 1.2× 56 0.6× 69 967
Michel Jacques Counotte Switzerland 9 620 1.4× 169 0.4× 402 1.1× 144 1.3× 65 0.7× 14 1.0k
Diana P. Rojas United States 17 504 1.1× 710 1.6× 373 1.0× 117 1.1× 69 0.8× 30 1.0k
Hannah Clapham Singapore 22 756 1.7× 922 2.1× 337 0.9× 119 1.1× 55 0.6× 64 1.4k
Mamunur Rahman Malik Egypt 18 576 1.3× 308 0.7× 152 0.4× 274 2.5× 35 0.4× 47 1.0k
Giorgio Guzzetta Italy 24 726 1.6× 399 0.9× 576 1.6× 388 3.6× 119 1.3× 68 1.5k
Anuj Mubayi United States 16 242 0.5× 426 1.0× 326 0.9× 236 2.2× 43 0.5× 51 1.0k

Countries citing papers authored by Natsuko Imai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Doohan, Patrick, David Jorgensen, Joseph T. Hicks, et al.. (2024). Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis. medRxiv. 1 indexed citations
2.
Doohan, Patrick, David Jorgensen, Joseph T. Hicks, et al.. (2024). Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis. The Lancet Global Health. 12(12). e1962–e1972. 11 indexed citations
3.
Kidokoro, Tetsuhiro, Naruki Kitano, Natsuko Imai, et al.. (2023). Optimal domain-specific physical activity and sedentary behaviors for blood lipids among Japanese children: a compositional data analysis. PubMed. 2(1). 20–20. 1 indexed citations
4.
Bhatia, Sangeeta, Natsuko Imai, Oliver J. Watson, et al.. (2023). Lessons from COVID-19 for rescalable data collection. The Lancet Infectious Diseases. 23(9). e383–e388. 11 indexed citations
5.
Cuomo-Dannenburg, Gina, Ruth McCabe, H. Juliette T. Unwin, et al.. (2023). Marburg Virus Disease outbreaks, mathematical models, and disease parameters: a Systematic Review. medRxiv. 5 indexed citations
6.
Imai, Natsuko. (2023). What does the media of a smaller state say about bigger states? - Spotlighting Bangladesh’s leading online media. SHILAP Revista de lepidopterología. 12(1). 199–228. 1 indexed citations
7.
Perez‐Guzman, Pablo N., Edward Knock, Natsuko Imai, et al.. (2023). Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England. Nature Communications. 14(1). 4279–4279. 18 indexed citations
8.
Imai, Natsuko, Edward Knock, Raphael Sonabend, et al.. (2023). Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study. The Lancet Public Health. 8(3). e174–e183. 14 indexed citations
9.
Cox, Victoria, Megan O’Driscoll, Natsuko Imai, et al.. (2022). Estimating dengue transmission intensity from serological data: A comparative analysis using mixture and catalytic models. PLoS neglected tropical diseases. 16(7). e0010592–e0010592. 5 indexed citations
10.
Kidokoro, Tetsuhiro, et al.. (2022). The Immediate and Lasting Effects of Resident Summer Camp on Movement Behaviors Among Children. Frontiers in Pediatrics. 10. 912221–912221. 3 indexed citations
11.
Imai, Natsuko, Katy A. M. Gaythorpe, Sangeeta Bhatia, et al.. (2022). COVID-19 in Japan, January–March 2020: insights from the first three months of the epidemic. BMC Infectious Diseases. 22(1). 493–493. 5 indexed citations
12.
Gaythorpe, Katy A. M., Sangeeta Bhatia, Tara D. Mangal, et al.. (2021). Publisher Correction: Children’s role in the COVID-19 pandemic: a systematic review of early surveillance data on susceptibility, severity, and transmissibility. Scientific Reports. 11(1). 18814–18814. 7 indexed citations
13.
Gaythorpe, Katy A. M., Sangeeta Bhatia, Tara D. Mangal, et al.. (2021). Children’s role in the COVID-19 pandemic: a systematic review of early surveillance data on susceptibility, severity, and transmissibility. Scientific Reports. 11(1). 13903–13903. 58 indexed citations
14.
15.
Djaafara, Bimandra A, Natsuko Imai, Esther Hamblion, et al.. (2020). A Quantitative Framework for Defining the End of an Infectious Disease Outbreak: Application to Ebola Virus Disease. American Journal of Epidemiology. 190(4). 642–651. 21 indexed citations
16.
Cattarino, Lorenzo, Isabel Rodríguez-Barraquer, Natsuko Imai, Derek A. T. Cummings, & Neil M. Ferguson. (2020). Mapping global variation in dengue transmission intensity. Science Translational Medicine. 12(528). 141 indexed citations
17.
O’Driscoll, Megan, Natsuko Imai, Neil M. Ferguson, et al.. (2020). Spatiotemporal variability in dengue transmission intensity in Jakarta, Indonesia. PLoS neglected tropical diseases. 14(3). e0008102–e0008102. 16 indexed citations
18.
Cremin, Íde, Oliver J. Watson, Natsuko Imai, et al.. (2017). An infectious way to teach students about outbreaks. Epidemics. 23. 42–48. 6 indexed citations
19.
Imai, Natsuko, Ilaria Dorigatti, Simon Cauchemez, & Neil M. Ferguson. (2016). Estimating Dengue Transmission Intensity from Case-Notification Data from Multiple Countries. PLoS neglected tropical diseases. 10(7). e0004833–e0004833. 30 indexed citations
20.
Mutapi, Francisca, Natsuko Imai, Norman Nausch, et al.. (2011). Schistosome Infection Intensity Is Inversely Related to Auto-Reactive Antibody Levels. PLoS ONE. 6(5). e19149–e19149. 32 indexed citations

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.

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