Lulla Opatowski

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

About

Lulla Opatowski is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Lulla Opatowski has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 24 papers in Modeling and Simulation and 23 papers in Infectious Diseases. Recurrent topics in Lulla Opatowski's work include COVID-19 epidemiological studies (24 papers), Antibiotic Use and Resistance (20 papers) and Pneumonia and Respiratory Infections (16 papers). Lulla Opatowski is often cited by papers focused on COVID-19 epidemiological studies (24 papers), Antibiotic Use and Resistance (20 papers) and Pneumonia and Respiratory Infections (16 papers). Lulla Opatowski collaborates with scholars based in France, United Kingdom and United States. Lulla Opatowski's co-authors include Didier Guillemot, Pierre‐Yves Boëlle, Laura Temime, Simon Cauchemez, D Lévy-Brühl, Paolo Bosetti, Henrik Salje, Arnaud Fontanet, Cécile Tran Kiem and Noémie Lefrancq and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Lulla Opatowski

71 papers receiving 1.9k citations

Hit Papers

Estimating the burden of SARS-CoV-2 in France 2020 2026 2022 2024 2020 200 400 600
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.

  1. Estimating the burden of SARS-CoV-2 in France
    2020 636 citations Henrik Salje, Cécile Tran Kiem et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lulla Opatowski France 21 683 634 584 267 250 77 1.9k
Rachel B. Slayton United States 21 1.2k 1.7× 483 0.8× 303 0.5× 190 0.7× 256 1.0× 55 2.1k
James A. McKinnell United States 27 1.3k 1.8× 196 0.3× 806 1.4× 333 1.2× 495 2.0× 81 2.5k
Laura Temime France 23 326 0.5× 207 0.3× 342 0.6× 223 0.8× 192 0.8× 79 1.2k
Sara Tomczyk United States 23 877 1.3× 190 0.3× 1.1k 1.9× 291 1.1× 213 0.9× 44 2.5k
Prabasaj Paul United States 18 570 0.8× 162 0.3× 302 0.5× 224 0.8× 342 1.4× 51 2.0k
Nancy A. Chow United States 18 2.3k 3.4× 507 0.8× 1.1k 1.9× 109 0.4× 482 1.9× 50 4.5k
Jeremy Hawker United Kingdom 26 694 1.0× 229 0.4× 742 1.3× 100 0.4× 86 0.3× 74 2.3k
Menglan Zhou China 17 450 0.7× 220 0.3× 428 0.7× 64 0.2× 247 1.0× 49 1.4k
Ali S. Omrani Saudi Arabia 22 1.8k 2.6× 250 0.4× 466 0.8× 220 0.8× 325 1.3× 79 2.6k
Timo Smieszek United Kingdom 24 176 0.3× 388 0.6× 605 1.0× 570 2.1× 112 0.4× 38 1.8k

Countries citing papers authored by Lulla Opatowski

Since Specialization
Citations

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

Fields of papers citing papers by Lulla Opatowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lulla Opatowski. 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 Lulla Opatowski. The network helps show where Lulla Opatowski may publish in the future.

Co-authorship network of co-authors of Lulla Opatowski

This figure shows the co-authorship network connecting the top 25 collaborators of Lulla Opatowski. A scholar is included among the top collaborators of Lulla Opatowski 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 Lulla Opatowski. Lulla Opatowski 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.
Shirreff, George, Sandra S. Chaves, Laurent Coudeville, et al.. (2024). Seasonality and Co‐Detection of Respiratory Viral Infections Among Hospitalised Patients Admitted With Acute Respiratory Illness—Valencia Region, Spain, 2010–2021. Influenza and Other Respiratory Viruses. 18(10). e70017–e70017. 9 indexed citations
2.
Shirreff, George, Anne C. M. Thiébaut, Bich-Tram Huynh, et al.. (2024). Hospital population density and risk of respiratory infection: Is close contact density dependent?. Epidemics. 49. 100807–100807.
3.
Duval, Audrey, Quentin J. Leclerc, Didier Guillemot, Laura Temime, & Lulla Opatowski. (2024). An algorithm to build synthetic temporal contact networks based on close-proximity interactions data. PLoS Computational Biology. 20(6). e1012227–e1012227. 4 indexed citations
4.
Leclerc, Quentin J., Audrey Duval, Didier Guillemot, Lulla Opatowski, & Laura Temime. (2024). Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study. PLoS Medicine. 21(7). e1004433–e1004433.
5.
Glaser, Philippe, et al.. (2024). Modeling the transmission of antibiotic-resistant Enterobacterales in the community: A systematic review. Epidemics. 48. 100783–100783. 1 indexed citations
6.
Opatowski, Lulla, et al.. (2023). Risk Factors for Community and Intrahousehold Transmission of SARS-CoV-2: Modeling in a Nationwide French Population-Based Cohort Study, the EpiCoV Study. American Journal of Epidemiology. 193(1). 134–148. 1 indexed citations
7.
Smith, David R., George Shirreff, Laura Temime, & Lulla Opatowski. (2023). Collateral impacts of pandemic COVID-19 drive the nosocomial spread of antibiotic resistance: A modelling study. PLoS Medicine. 20(6). e1004240–e1004240. 11 indexed citations
8.
Vergu, Elisabeta, et al.. (2022). Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021–22: a status-based multi-variant model. BMC Infectious Diseases. 22(1). 815–815. 3 indexed citations
9.
10.
Frasca, Paolo, et al.. (2021). Mitigating COVID-19 outbreaks in workplaces and schools by hybrid telecommuting. PLoS Computational Biology. 17(8). e1009264–e1009264. 14 indexed citations
11.
Brun‐Buisson, Christian, et al.. (2021). Outpatient antibiotic use attributable to viral acute lower respiratory tract infections during the cold season in France, 2010-2017. International Journal of Antimicrobial Agents. 57(6). 106339–106339. 7 indexed citations
12.
Haenni, Marisa, Émilie Gay, Philippe Glaser, et al.. (2021). Drivers of ESBL-producing Escherichia coli dynamics in calf fattening farms: A modelling study. One Health. 12. 100238–100238. 5 indexed citations
13.
Temime, Laura, Marie‐Paule Gustin, Audrey Duval, et al.. (2020). A Conceptual Discussion About the Basic Reproduction Number of Severe Acute Respiratory Syndrome Coronavirus 2 in Healthcare Settings. Clinical Infectious Diseases. 72(1). 141–143. 26 indexed citations
14.
Salje, Henrik, Cécile Tran Kiem, Noémie Lefrancq, et al.. (2020). Estimating the burden of SARS-CoV-2 in France. Science. 369(6500). 208–211. 636 indexed citations breakdown →
15.
Duval, Audrey, Thomas Obadia, Pierre‐Yves Boëlle, et al.. (2019). Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings. PLoS Computational Biology. 15(5). e1006496–e1006496. 29 indexed citations
16.
Opatowski, Lulla, Marc Baguelin, & Rosalind M. Eggo. (2018). Influenza interaction with cocirculating pathogens and its impact on surveillance, pathogenesis, and epidemic profile: A key role for mathematical modelling. PLoS Pathogens. 14(2). e1006770–e1006770. 88 indexed citations
17.
Alari, Anna, H. Chaussade, Matthieu Domenech de Cellès, et al.. (2016). Impact of pneumococcal conjugate vaccines on pneumococcal meningitis cases in France between 2001 and 2014: a time series analysis. BMC Medicine. 14(1). 211–211. 44 indexed citations
18.
Obadia, Thomas, Lulla Opatowski, Laura Temime, et al.. (2015). Interindividual Contacts and Carriage of Methicillin-ResistantStaphylococcus aureus: A Nested Case-Control Study. Infection Control and Hospital Epidemiology. 36(8). 922–929. 18 indexed citations
19.
Temime, Laura, et al.. (2009). NOSOSIM: an agent-based model of pathogen circulation in a hospital ward. Spring Simulation Multiconference. 9. 5 indexed citations
20.

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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