Inès Levade

539 citations
16 papers · 250 · h-index 9

Impact in

    • Vibrio bacteria research studies
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 9
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 2
    • Tuberculosis Research and Epidemiology 1
    • Vibrio bacteria research studies 4

Inès Levade

15 papers receiving 244 citations

Peers

Inès Levade
Comparison fields: 5 of 53
  • Endocrinology 69
  • Infectious Diseases 125
  • Modeling and Simulation 19
  • Molecular Medicine 15
  • Epidemiology 67
Replace Marjahan Akhtar with:
Marjahan Akhtar Bangladesh
Célia Souque United States
Sarah E. Philo United States
Shirlee Wohl United States
Theron Gilliland United States
Lorena Preciado‐Llanes United Kingdom
Amena Aktar United States
Radoslaw Poplawski United Kingdom
Wanida Mala Thailand
Diederik Brandwagt Netherlands
Inès Levade relative to Marjahan Akhtar Bangladesh Marjahan Akhtar's profile →
Citations per field
00.5×4.5×
Marjahan Akhtar · 1×
Citations per year

Countries citing papers authored by Inès Levade

Since Specialization
Citations

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

Fields of papers citing papers by Inès Levade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inès Levade, 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 Inès Levade Line = papers co-authored together Inès Levade links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201558
2 202435
3 201635
4 201732
5 202025
6 202312
7 20219
8 20229
9 20238
10 20237
11 20247
12 20247
13 20233
14 20232
15 20231
16 20260

About Inès Levade

Inès Levade is a scholar working on Infectious Diseases, Endocrinology, Molecular Biology, Epidemiology and Food Science, having authored 16 papers that have together received 250 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Vibrio bacteria research studies (4 papers), COVID-19 Clinical Research Studies (4 papers), Salmonella and Campylobacter epidemiology (3 papers), SARS-CoV-2 detection and testing (2 papers), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Endocrinology (69 citations), Infectious Diseases (125 citations), Modeling and Simulation (19 citations), Molecular Medicine (15 citations) and Epidemiology (67 citations). Inès Levade has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include B. Jesse Shapiro, Ronald K. Taylor, Salvador Almagro‐Moreno, Gabriela Kovacikova, Robyn S. Lee, Jean‐François Proulx, Dick Menzies, Nicolas Radomski, Fiona McIntosh and Hafid Soualhine. Their work appears in journals such as Viruses, Microbial Genomics, mSystems, Clinical Infectious Diseases and Vaccines.

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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