Ethan Romero-Severson

3.6k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Ethan Romero-Severson is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Ethan Romero-Severson has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 17 papers in Virology and 12 papers in Epidemiology. Recurrent topics in Ethan Romero-Severson's work include HIV/AIDS Research and Interventions (18 papers), HIV Research and Treatment (17 papers) and COVID-19 epidemiological studies (12 papers). Ethan Romero-Severson is often cited by papers focused on HIV/AIDS Research and Interventions (18 papers), HIV Research and Treatment (17 papers) and COVID-19 epidemiological studies (12 papers). Ethan Romero-Severson collaborates with scholars based in United States, Sweden and Portugal. Ethan Romero-Severson's co-authors include Ruian Ke, Nicolas Hengartner, Steven Sanche, Yen Ting Lin, Chonggang Xu, Thomas Leitner, Erik Volz, Ingo Bulla, James S. Koopman and Jan Albert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Ethan Romero-Severson

46 papers receiving 1.8k citations

Hit Papers

High Contagiousness and Rapid Spread of Severe Acute Resp... 2020 2026 2022 2024 2020 250 500 750

Peers

Ethan Romero-Severson
Ruian Ke United States
Jantien A. Backer Netherlands
Meagan C. Fitzpatrick United States
Abhishek Pandey United States
Emma B. Hodcroft Switzerland
Müge Çevik United Kingdom
Colin Campbell United Kingdom
Ruian Ke United States
Ethan Romero-Severson
Citations per year, relative to Ethan Romero-Severson Ethan Romero-Severson (= 1×) peers Ruian Ke

Countries citing papers authored by Ethan Romero-Severson

Since Specialization
Citations

This map shows the geographic impact of Ethan Romero-Severson'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 Ethan Romero-Severson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Romero-Severson more than expected).

Fields of papers citing papers by Ethan Romero-Severson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan Romero-Severson. 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 Ethan Romero-Severson. The network helps show where Ethan Romero-Severson may publish in the future.

Co-authorship network of co-authors of Ethan Romero-Severson

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Romero-Severson. A scholar is included among the top collaborators of Ethan Romero-Severson 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 Ethan Romero-Severson. Ethan Romero-Severson 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.
Castro, Lauren, Carrie A. Manore, Josefina Campos, et al.. (2024). Congruity of genomic and epidemiological data in modelling of local cholera outbreaks. Proceedings of the Royal Society B Biological Sciences. 291(2019). 20232805–20232805. 1 indexed citations
2.
Lundgren, Erik, Ethan Romero-Severson, Mirjana Dimitrijević, et al.. (2024). Sweden surpasses the UNAIDS 95-95-95 target: estimating HIV-1 incidence, 2003 to 2022. Eurosurveillance. 29(42). 4 indexed citations
3.
Barnard, Martha, et al.. (2023). Changing temperature profiles and the risk of dengue outbreaks. PLOS Climate. 2(2). e0000115–e0000115. 17 indexed citations
4.
Barnard, Martha, et al.. (2023). Scoping review of Culex mosquito life history trait heterogeneity in response to temperature. Parasites & Vectors. 16(1). 200–200. 31 indexed citations
5.
Dorp, Christiaan H. van, Emma E. Goldberg, Ruian Ke, Nicolas Hengartner, & Ethan Romero-Severson. (2022). Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron. Virus Evolution. 8(2). veac089–veac089. 6 indexed citations
6.
Torres, Irene, et al.. (2022). Assessing the impact of human mobility to predict regional excess death in Ecuador. Scientific Reports. 12(1). 370–370. 5 indexed citations
7.
Lundgren, Erik, Ethan Romero-Severson, Jan Albert, & Thomas Leitner. (2022). Combining biomarker and virus phylogenetic models improves HIV-1 epidemiological source identification. PLoS Computational Biology. 18(8). e1009741–e1009741. 4 indexed citations
8.
Torres, Irene, et al.. (2021). Excess deaths reveal the true spatial, temporal and demographic impact of COVID-19 on mortality in Ecuador. International Journal of Epidemiology. 51(1). 54–62. 31 indexed citations
9.
Torres, Irene, et al.. (2021). Excess deaths reveal unequal impact of COVID-19 in Ecuador. BMJ Global Health. 6(9). e006446–e006446. 25 indexed citations
10.
Dorp, Christiaan H. van, Emma E. Goldberg, Nicolas Hengartner, Ruian Ke, & Ethan Romero-Severson. (2021). Estimating the strength of selection for new SARS-CoV-2 variants. Nature Communications. 12(1). 7239–7239. 21 indexed citations
11.
Marichannegowda, Manukumar Honnayakanahalli, Amit Kumar, Elena Giorgi, et al.. (2021). Different evolutionary pathways of HIV-1 between fetus and mother perinatal transmission pairs indicate unique immune selection in fetuses. Cell Reports Medicine. 2(7). 100315–100315. 4 indexed citations
12.
Nasir, Arshan, Ethan Romero-Severson, & Jean‐Michel Claverie. (2020). Investigating the Concept and Origin of Viruses. Trends in Microbiology. 28(12). 959–967. 39 indexed citations
13.
Giardina, Federica, Ethan Romero-Severson, Maria Axelsson, et al.. (2019). Getting more from heterogeneous HIV-1 surveillance data in a high immigration country: estimation of incidence and undiagnosed population size using multiple biomarkers. International Journal of Epidemiology. 48(6). 1795–1803. 13 indexed citations
14.
Ezeonwumelu, Ifeanyi Jude, Inês Bártolo, Francisco Martı́n, et al.. (2018). Accidental Father-to-Son HIV-1 Transmission During the Seroconversion Period. AIDS Research and Human Retroviruses. 34(10). 857–862. 2 indexed citations
15.
Bulla, Ingo, et al.. (2018). Sensitivity of joint contagiousness and susceptibility-based dynamic optimal control strategies for HIV prevention. PLoS ONE. 13(10). e0204741–e0204741. 1 indexed citations
16.
Romero-Severson, Ethan, et al.. (2015). Trends of HIV-1 incidence with credible intervals in Sweden 2002–09 reconstructed using a dynamic model of within-patient IgG growth. International Journal of Epidemiology. 44(3). 998–1006. 9 indexed citations
17.
Volz, Erik, et al.. (2013). HIV-1 Transmission during Early Infection in Men Who Have Sex with Men: A Phylodynamic Analysis. PLoS Medicine. 10(12). e1001568–e1001568. 92 indexed citations
18.
Zhang, Xinyu, Lin Zhong, Ethan Romero-Severson, et al.. (2012). Episodic HIV Risk Behavior Can Greatly Amplify HIV Prevalence and the Fraction of Transmissions from Acute HIV Infection. PubMed. 4(1). 21 indexed citations
19.
Romero-Severson, Ethan, Shah Jamal Alam, Erik Volz, & James S. Koopman. (2012). Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort. PubMed. 4(1). 18 indexed citations
20.
Alam, Shah Jamal, Ethan Romero-Severson, Christopher J. Henry, et al.. (2012). Detectable signals of episodic risk effects on acute HIV transmission: Strategies for analyzing transmission systems using genetic data. Epidemics. 5(1). 44–55. 13 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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