Natalie M. Linton
- Modeling and Simulation top 0.1%
- Infectious Diseases top 2%
- Economics and Econometrics top 2%
- Epidemiology top 10%
- Clinical Psychology top 10%
- Co-authors
- Hiroshi NishiuraAndrei R. AkhmetzhanovSung-mok JungYichi YangRyo KinoshitaT. KobayashiKatsuma HayashiBaoyin Yuan
- Topics
- COVID-19 epidemiological studies (17 papers)COVID-19 Pandemic Impacts (7 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Natalie M. Linton
25 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 1.4k
- Infectious Diseases 892
- Economics and Econometrics 563
- Epidemiology 323
- Clinical Psychology 206
Countries citing papers authored by Natalie M. Linton
This map shows the geographic impact of Natalie M. Linton'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 Natalie M. Linton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie M. Linton more than expected).
Fields of papers citing papers by Natalie M. Linton
This network shows the impact of papers produced by Natalie M. Linton. 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 Natalie M. Linton. The network helps show where Natalie M. Linton may publish in the future.
Co-authorship network of co-authors of Natalie M. Linton
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie M. Linton. A scholar is included among the top collaborators of Natalie M. Linton 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 Natalie M. Linton. Natalie M. Linton 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 | 9 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | Serial interval of novel coronavirus (COVID-19) infectionsbreakdown → | 660 |
| 14 | 12 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 85 | |
| 18 | 24 | |
| 19 | 4 | |
| 20 | 10 |
About Natalie M. Linton
Natalie M. Linton is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), COVID-19 Pandemic Impacts (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Infectious Diseases (892 citations) and Economics and Econometrics (563 citations). Natalie M. Linton has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Hiroshi Nishiura, Andrei R. Akhmetzhanov, Sung-mok Jung, Yichi Yang, Ryo Kinoshita, T. Kobayashi, Katsuma Hayashi, Baoyin Yuan, Tuhin Biswas and Md. Saimul Islam. Their work appears in journals such as PLoS ONE, American Journal of Public Health and Emerging infectious diseases.
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.