Natalie M. Linton

7.4k total citations · 2 hit papers
28 papers, 2.1k citations indexed

About

Natalie M. Linton is a scholar working on Modeling and Simulation, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Natalie M. Linton has authored 28 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 13 papers in Infectious Diseases and 7 papers in Economics and Econometrics. Recurrent topics in Natalie M. Linton's work include COVID-19 epidemiological studies (17 papers), COVID-19 Pandemic Impacts (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Natalie M. Linton is often cited by papers focused on COVID-19 epidemiological studies (17 papers), COVID-19 Pandemic Impacts (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Natalie M. Linton collaborates with scholars based in Japan, Taiwan and United States. Natalie M. Linton's co-authors include Hiroshi Nishiura, Andrei R. Akhmetzhanov, Sung-mok Jung, Ryo Kinoshita, Yichi Yang, T. Kobayashi, Katsuma Hayashi, Baoyin Yuan, Md. Saimul Islam and Lal Rawal and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and Emerging infectious diseases.

In The Last Decade

Natalie M. Linton

25 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data

2020 799 citations Natalie M. Linton, T. Kobayashi et al. Journal of Clinical Medicine profile →
Serial interval of novel coronavirus (COVID-19) infections

2020 660 citations Hiroshi Nishiura, Natalie M. Linton et al. International Journal of Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natalie M. Linton Japan	11	1.4k	892	563	323	206	28	2.1k
Andrei R. Akhmetzhanov Japan	14	1.5k 1.1×	995 1.1×	577 1.0×	352 1.1×	199 1.0×	37	2.2k
Alberto Alexander Gayle Japan	5	1.0k 0.7×	971 1.1×	455 0.8×	201 0.6×	257 1.2×	9	2.1k
Qianying Lin Hong Kong	14	1.2k 0.9×	767 0.9×	460 0.8×	247 0.8×	179 0.9×	27	1.8k
Christine Tedijanto United States	7	811 0.6×	766 0.9×	316 0.6×	293 0.9×	253 1.2×	13	1.9k
Giulia Pullano France	9	1.0k 0.8×	525 0.6×	507 0.9×	234 0.7×	222 1.1×	13	1.6k
Stephen M. Kissler United States	16	1.6k 1.2×	1.2k 1.4×	532 0.9×	503 1.6×	293 1.4×	31	3.1k
Alexander E. Zarebski Australia	12	901 0.6×	1.0k 1.1×	279 0.5×	305 0.9×	179 0.9×	21	1.9k
Marta Colaneri Italy	12	1.1k 0.8×	906 1.0×	315 0.6×	296 0.9×	91 0.4×	68	1.8k
Kenji Mizumoto Japan	24	1.4k 1.0×	1.6k 1.7×	401 0.7×	444 1.4×	267 1.3×	45	2.9k

Countries citing papers authored by Natalie M. Linton

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Linton, Natalie M., et al.. (2024). Incubation Period and Serial Interval of Mpox in 2022 Global Outbreak Compared with Historical Estimates. Emerging infectious diseases. 30(6). 1173–1181. 7 indexed citations

Routledge, Isobel, Natalie M. Linton, Alexandria B. Boehm, et al.. (2024). Estimating effective reproduction numbers using wastewater data from multiple sewersheds for SARS-CoV-2 in California counties. Epidemics. 50. 100803–100803.

Charniga, Kelly, Sang Woo Park, Andrei R. Akhmetzhanov, et al.. (2024). Best practices for estimating and reporting epidemiological delay distributions of infectious diseases. PLoS Computational Biology. 20(10). e1012520–e1012520. 9 indexed citations

Akhmetzhanov, Andrei R., Sung-mok Jung, Hyojung Lee, et al.. (2024). Reconstruction and analysis of the transmission network of African swine fever in People’s Republic of China, August 2018–September 2019. Epidemiology and Infection. 152. e27–e27.

Akhmetzhanov, Andrei R., et al.. (2022). Transmission Dynamics and Effectiveness of Control Measures during COVID-19 Surge, Taiwan, April–August 2021. Emerging infectious diseases. 28(10). 2051–2059. 9 indexed citations

Hayashi, Katsuma, Asami Anzai, Natalie M. Linton, et al.. (2022). Assessing Public Health and Social Measures Against COVID-19 in Japan From March to June 2021. Frontiers in Medicine. 9. 937732–937732. 5 indexed citations

Linton, Natalie M., Andrei R. Akhmetzhanov, & Hiroshi Nishiura. (2022). Correlation between times to SARS-CoV-2 symptom onset and secondary transmission undermines epidemic control efforts. Epidemics. 41. 100655–100655. 3 indexed citations

Kobayashi, T., et al.. (2021). Age dependence of the natural history of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): an analysis of Diamond Princess data. International Journal of Infectious Diseases. 115. 109–115. 4 indexed citations

Linton, Natalie M., Andrei R. Akhmetzhanov, & Hiroshi Nishiura. (2021). Localized end-of-outbreak determination for coronavirus disease 2019 (COVID-19): examples from clusters in Japan. International Journal of Infectious Diseases. 105. 286–292. 8 indexed citations

10.

Linton, Natalie M., Sung-mok Jung, & Hiroshi Nishiura. (2021). Not all fun and games: Potential incidence of SARS-CoV-2 infections during the Tokyo 2020 Olympic Games. Mathematical Biosciences & Engineering. 18(6). 9685–9696. 10 indexed citations

11.

Miyama, Takeshi, Sung-mok Jung, Katsuma Hayashi, et al.. (2021). Phenomenological and mechanistic models for predicting early transmission data of COVID-19. Mathematical Biosciences & Engineering. 19(2). 2043–2055. 4 indexed citations

12.

Linton, Natalie M., Mory Keïta, Maria Moitinho de Almeida, et al.. (2020). Impact of mass vaccination campaigns on measles transmission during an outbreak in Guinea, 2017. Journal of Infection. 80(3). 326–332. 3 indexed citations

13.

Jung, Sung-mok, Ryo Kinoshita, Robin N. Thompson, et al.. (2020). Epidemiological Identification of A Novel Pathogen in Real Time: Analysis of the Atypical Pneumonia Outbreak in Wuhan, China, 2019–2020. Journal of Clinical Medicine. 9(3). 637–637. 12 indexed citations

14.

Nishiura, Hiroshi, Natalie M. Linton, & Andrei R. Akhmetzhanov. (2020). Serial interval of novel coronavirus (COVID-19) infections. International Journal of Infectious Diseases. 93. 284–286. 660 indexed citations breakdown →

15.

Linton, Natalie M., et al.. (2019). Mortality Rate and Causes of Death Among Refugees Resettled in Washington State, 2006–2016. Journal of Immigrant and Minority Health. 22(1). 3–9. 6 indexed citations

16.

Bonwitt, Jesse, Amy Poel, Chas DeBolt, et al.. (2017). Acute Flaccid Myelitis Among Children — Washington, September–November 2016. MMWR Morbidity and Mortality Weekly Report. 66(31). 826–829. 20 indexed citations

17.

Biswas, Tuhin, Md. Saimul Islam, Natalie M. Linton, & Lal Rawal. (2016). Socio-Economic Inequality of Chronic Non-Communicable Diseases in Bangladesh. PLoS ONE. 11(11). e0167140–e0167140. 85 indexed citations

18.

Kawakami, Vance, Lyndsay Bottichio, Kristina M Angelo, et al.. (2016). Notes from the Field: Outbreak of Multidrug-ResistantSalmonellaInfections Linked to Pork — Washington, 2015. MMWR Morbidity and Mortality Weekly Report. 65(14). 379–381. 24 indexed citations

19.

Bloch, Mark, et al.. (2014). Effectiveness of a team intervention in reducing modifiable cardiovascular disease risk in HIV‐infected subjects on antiretroviral therapy. Journal of the International AIDS Society. 17(4S3). 19546–19546. 4 indexed citations

20.

Fuji, Shigeo, Takehiko Mori, Vincent Lee, et al.. (2012). A Multi-Center International Survey Related to the Nutritional Support after Hematopoietic Stem Cell Transplantation Endorsed by the ASIA Pacific Blood and Marrow Transplantation (APBMT). Food and Nutrition Sciences. 3(3). 417–421. 10 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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