Danielle Moisan

689 total citations
8 papers, 513 citations indexed

About

Danielle Moisan is a scholar working on Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Danielle Moisan has authored 8 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Danielle Moisan's work include Streptococcal Infections and Treatments (3 papers), Nosocomial Infections in ICU (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Danielle Moisan is often cited by papers focused on Streptococcal Infections and Treatments (3 papers), Nosocomial Infections in ICU (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Danielle Moisan collaborates with scholars based in Canada and United States. Danielle Moisan's co-authors include Guy Boivin, Teresa C. T. Peret, Yacine Abed, Dean D. Erdman, Gilles Pelletier, Larry J. Anderson, Stéphanie Côté, Michel G. Bergeron, Éric Leblanc and Marie-Louise Vachon and has published in prestigious journals such as The Journal of Infectious Diseases, Emerging infectious diseases and Infection Control and Hospital Epidemiology.

In The Last Decade

Danielle Moisan

7 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Moisan Canada 5 486 347 133 85 52 8 513
Chu Marla United States 5 520 1.1× 358 1.0× 132 1.0× 89 1.0× 77 1.5× 6 551
Jennifer B. Brown United States 4 424 0.9× 295 0.9× 112 0.8× 74 0.9× 65 1.3× 5 469
Janine Reiche Germany 13 401 0.8× 211 0.6× 144 1.1× 71 0.8× 54 1.0× 20 526
Kevin Jacob Australia 9 348 0.7× 230 0.7× 73 0.5× 71 0.8× 45 0.9× 11 468
Sidsel Krokstad Norway 7 323 0.7× 214 0.6× 93 0.7× 48 0.6× 39 0.8× 12 358
Deniz Kesebir United States 3 304 0.6× 256 0.7× 94 0.7× 23 0.3× 31 0.6× 4 339
Kerstin Blessing Germany 8 308 0.6× 264 0.8× 134 1.0× 29 0.3× 31 0.6× 9 417
Nina Moe Norway 7 225 0.5× 184 0.5× 57 0.4× 40 0.5× 15 0.3× 7 294
Gail McNabb Canada 5 250 0.5× 102 0.3× 44 0.3× 35 0.4× 13 0.3× 5 282
Ni‐Guang Xiao China 10 293 0.6× 170 0.5× 74 0.6× 44 0.5× 26 0.5× 18 320

Countries citing papers authored by Danielle Moisan

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Moisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Moisan

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

All Works

8 of 8 papers shown
1.
Fortin, Élise, Daniel J. G. Thirion, Moussa Ouakki, et al.. (2021). Role of high-risk antibiotic use in incidence of health-care-associated Clostridioides difficile infection in Quebec, Canada: a population-level ecological study. The Lancet Microbe. 2(5). e182–e190. 5 indexed citations
2.
Zanichelli, Veronica, Christophe Garenc, Danielle Moisan, et al.. (2020). Increased Community-Associated Clostridioides difficile Infections in Quebec, Canada, 2008–20151. Emerging infectious diseases. 26(6). 1291–1294. 4 indexed citations
3.
Fortin, Élise, Manale Ouakki, Claude Tremblay, et al.. (2019). Changes in vascular accesses and in incidence rates of dialysis-related bloodstream infections in Québec, Canada, 2011–2017. Infection Control and Hospital Epidemiology. 40(6). 627–631.
4.
Fortin, Élise, Alex Carignan, Claude Tremblay, et al.. (2018). A ten-year review of healthcare-associated bloodstream infections from forty hospitals in Québec, Canada. Infection Control and Hospital Epidemiology. 39(10). 1202–1209. 2 indexed citations
5.
Fortin, Élise, et al.. (2017). Hospital-Acquired Methicillin-Resistant Staphylococcus aureus Bloodstream Infections in Québec: Impact of Guidelines. Infection Control and Hospital Epidemiology. 38(7). 840–847. 6 indexed citations
7.
Vachon, Marie-Louise, et al.. (2006). Human Parainfluenza Type 4 Infections, Canada. Emerging infectious diseases. 12(11). 1755–1758. 29 indexed citations
8.
Boivin, Guy, Yacine Abed, Gilles Pelletier, et al.. (2002). Virological Features and Clinical Manifestations Associated with Human Metapneumovirus: A New Paramyxovirus Responsible for Acute Respiratory‐Tract Infections in All Age Groups. The Journal of Infectious Diseases. 186(9). 1330–1334. 459 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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