Danielle Légaré

2.9k citations
37 papers · 2.1k · h-index 27

Impact in

Papers in

Danielle Légaré

37 papers receiving 2.1k citations

Peers

Danielle Légaré
Comparison fields: 5 of 73
  • Public Health, Environmental and Occupational Health 1.6k
  • Parasitology 364
  • Epidemiology 1.2k
  • Molecular Medicine 111
  • Infectious Diseases 188
Replace Philippe Leprohon with:
Philippe Leprohon Canada
Shyam Sundar India
Ann E. Eakin United States
Max Grögl United States
Sushmita Das India
T. K. Jha India
Maria Jânia Teixeira Brazil
Ivete Conchon‐Costa Brazil
Mariana C. Duarte Brazil
Maria Carolina Accioly Brelaz de Castro Brazil
Danielle Légaré relative to Philippe Leprohon Canada Philippe Leprohon's profile →
Citations per field
00.5×1.5×
Philippe Leprohon · 1×
Citations per year

Countries citing papers authored by Danielle Légaré

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Légaré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Légaré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Légaré Line = papers co-authored together Danielle Légaré links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004204
2 2001177
3 2008136
4 2009131
5 2011129
6 2005114
7 199785
8 199984
9 200676
10 200971
11 201467
12 201165
13 201165
14 199461
15 199858
16 201355
17 200145
18 199444
19 200542
20 200539

About Danielle Légaré

Danielle Légaré is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology, Oncology and Parasitology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (28 papers), Trypanosoma species research and implications (10 papers), Drug Transport and Resistance Mechanisms (8 papers), Parasites and Host Interactions (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Pneumonia and Respiratory Infections (5 papers), HIV/AIDS drug development and treatment (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.6k citations), Parasitology (364 citations), Epidemiology (1.2k citations), Molecular Medicine (111 citations) and Infectious Diseases (188 citations). Danielle Légaré has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marc Ouellette, Barbara Papadopoulou, Philippe Leprohon, Anass Haimeur, Rita Mukhopadhyay, Barry P. Rosen, Frédéric Raymond, Jacques Corbeil, Gaétan Roy and Benjamin Gourbal. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecular and Biochemical Parasitology, Experimental Parasitology, Genome biology and Nucleic Acids Research.

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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