Clément Massonnaud

451 total citations
16 papers, 96 citations indexed

About

Clément Massonnaud is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Clément Massonnaud has authored 16 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Modeling and Simulation and 5 papers in Health. Recurrent topics in Clément Massonnaud's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Clément Massonnaud is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Clément Massonnaud collaborates with scholars based in France, Belgium and United Kingdom. Clément Massonnaud's co-authors include Vittoria Colizza, Pascal Crépey, Simon Cauchemez, Jonathan Le Roux, Arnaud Fontanet, D Lévy-Brühl, A. Gabet, Chiara Poletto, Pierre‐Yves Boëlle and Laura Zanetti and has published in prestigious journals such as Scientific Reports, Journal of Clinical Epidemiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Clément Massonnaud

13 papers receiving 96 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clément Massonnaud France	6	47	42	27	14	11	16	96
Jacob Curran-Sebastian United Kingdom	4	98 2.1×	73 1.7×	17 0.6×	4 0.3×	8 0.7×	8	170
Omar Temsah Saudi Arabia	3	37 0.8×	19 0.5×	48 1.8×	8 0.6×	38 3.5×	5	178
Abdulrahim Mulla United Kingdom	4	41 0.9×	18 0.4×	32 1.2×	5 0.4×	11 1.0×	9	87
Mariano Martín Spain	6	109 2.3×	55 1.3×	16 0.6×	3 0.2×	3 0.3×	8	177
Brian R. Ferolito United States	4	139 3.0×	13 0.3×	55 2.0×	10 0.7×	9 0.8×	5	203
Faustino Blanco Spain	5	108 2.3×	55 1.3×	16 0.6×	3 0.2×	3 0.3×	7	157
Reza Maulana Indonesia	5	26 0.6×	29 0.7×	8 0.3×	4 0.3×	13 1.2×	34	106
Jamie A. Cohen United States	6	61 1.3×	65 1.5×	11 0.4×	3 0.2×	9 0.8×	13	175
Juan F Muñoz-Montalvo Spain	5	108 2.3×	55 1.3×	16 0.6×	2 0.1×	3 0.3×	6	155
Jose L Sanmartín Spain	5	108 2.3×	55 1.3×	16 0.6×	2 0.1×	3 0.3×	8	159

Countries citing papers authored by Clément Massonnaud

Since Specialization

Citations

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

Fields of papers citing papers by Clément Massonnaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Massonnaud

This figure shows the co-authorship network connecting the top 25 collaborators of Clément Massonnaud. A scholar is included among the top collaborators of Clément Massonnaud 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 Clément Massonnaud. Clément Massonnaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Massonnaud, Clément, Maya Hites, Nathan Peiffer‐Smadja, et al.. (2025). Hydroxychloroquine does not affect endotheliopathy or coagulopathy biomarkers in COVID-19: longitudinal results from the DisCoVeRy randomized trial. Angiogenesis. 29(1). 8–8.

Massonnaud, Clément, et al.. (2025). Characteristics, design, and statistical methods in platform trials: a systematic review. Journal of Clinical Epidemiology. 184. 111827–111827. 1 indexed citations

Gaymard, Alexandre, Clément Massonnaud, Nathan Peiffer‐Smadja, et al.. (2024). Antiviral effect of Evusheld in COVID-19 hospitalized patients infected with pre-Omicron or Omicron variants: a modelling analysis of the randomized DisCoVeRy trial. Journal of Antimicrobial Chemotherapy. 79(11). 2887–2895.

Pham, Tài, Stéphane Gaudry, Hafid Ait‐Oufella, et al.. (2024). Community-acquired Klebsiella pneumoniae pneumonia in ICU: a multicenter retrospective study. Annals of Intensive Care. 14(1). 69–69. 4 indexed citations

Roux, Jonathan Le, Clément Massonnaud, Vittoria Colizza, Simon Cauchemez, & Pascal Crépey. (2023). Modeling the impact of national and regional lockdowns on the 2020 spring wave of COVID-19 in France. Scientific Reports. 13(1). 1834–1834. 6 indexed citations

Massonnaud, Clément, Jonathan Le Roux, Vittoria Colizza, & Pascal Crépey. (2022). Evaluating COVID-19 Booster Vaccination Strategies in a Partially Vaccinated Population: A Modeling Study. Vaccines. 10(3). 479–479. 10 indexed citations

Bridoux, Valérie, Diane Mège, Muriel Mathonnet, et al.. (2021). Long-term outcomes of Hartmann’s procedure versus primary anastomosis for generalized peritonitis due to perforated diverticulitis: follow-up of a prospective multicenter randomized trial (DIVERTI). International Journal of Colorectal Disease. 36(10). 2159–2164. 13 indexed citations

Kiem, Cécile Tran, Clément Massonnaud, D Lévy-Brühl, et al.. (2021). A modelling study investigating short and medium-term challenges for COVID-19 vaccination: From prioritisation to the relaxation of measures. EClinicalMedicine. 38. 101001–101001. 39 indexed citations

Kiem, Cécile Tran, Clément Massonnaud, D Lévy-Brühl, et al.. (2021). Short and medium-term challenges for COVID-19 vaccination: from prioritisation to the relaxation of measures. 3 indexed citations

10.

Massonnaud, Clément, Jonathan Le Roux, Vittoria Colizza, & Pascal Crépey. (2021). Evaluating COVID-19 Booster Vaccination Strategies in a Partially Vaccinated Population: A Modeling Study. SSRN Electronic Journal. 2 indexed citations

11.

Massonnaud, Clément, et al.. (2020). Identification of the Best Semantic Expansion to Query PubMed Through Automatic Performance Assessment of Four Search Strategies on All Medical Subject Heading Descriptors: Comparative Study. JMIR Medical Informatics. 8(6). e12799–e12799. 5 indexed citations

12.

Tedbirt, Billal, André Gillibert, Clément Massonnaud, & P. Joly. (2020). Mortalité dans la pemphigoïde bulleuse : méta-analyse combinant données individuelles et agrégées. Annales de Dermatologie et de Vénéréologie. 147(12). A140–A140.

13.

Kiem, Cécile Tran, Clément Massonnaud, D Lévy-Brühl, et al.. (2020). Evaluation des stratégies vaccinales COVID-19 avec un modèle mathématique populationnel. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

14.

Dahamna, Badisse, et al.. (2019). Word Embedding for the French Natural Language in Health Care: Comparative Study. JMIR Medical Informatics. 7(3). e12310–e12310. 8 indexed citations

15.

Massonnaud, Clément, et al.. (2019). Performance evaluation of three semantic expansions to query PubMed. Health Information & Libraries Journal. 38(2). 113–124. 2 indexed citations

16.

Dahamna, Badisse, et al.. (2019). Word Embedding for French Natural Language in Healthcare: A Comparative Study. Studies in health technology and informatics. 264. 118–122. 1 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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