Inès Levade

484 citations
19 papers · 382 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 11
    • Tuberculosis Research and Epidemiology 1
    • COVID-19 Clinical Research Studies 1
    • Vibrio bacteria research studies 4

Inès Levade

19 papers receiving 374 citations

Peers

Inès Levade
Comparison fields: 5 of 40
  • Endocrinology 74
  • Infectious Diseases 205
  • Virology 21
  • Modeling and Simulation 6
  • Epidemiology 34
Replace Nazle Mendonça Collaço Véras with:
Nazle Mendonça Collaço Véras United States
Heidi L. Smith United States
Bailey White United States
Vatsala Rangachar Srinivasa United States
Liliana K. Rutaihwa Switzerland
Edgard Valery Adjogoua Ivory Coast
Aleyla Escueta-de Cadiz Philippines
Susan Chapman United States
Iara Apolinário Borges Brazil
Kwee Chin Liew Australia
Inès Levade relative to Nazle Mendonça Collaço Véras United States Nazle Mendonça Collaço Véras's profile →
Citations per field
00.5×2×4×6.8×
Nazle Mendonça Collaço Véras · 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

19 of 19 papers shown
#Work
1 201565
2 202451
3 202243
4 201640
5 201733
6 202031
7 202325
8 202221
9 202313
10 202211
11 20219
12 20238
13 20238
14 20248
15 20248
16 20234
17 20232
18 20231
19 20261

About Inès Levade

Inès Levade is a scholar working on Infectious Diseases, Endocrinology, Virology, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 382 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Vibrio bacteria research studies (4 papers), Tuberculosis Research and Epidemiology (1 paper), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Influenza Virus Research Studies (1 paper), Poxvirus research and outbreaks (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Endocrinology (74 citations), Infectious Diseases (205 citations), Virology (21 citations), Modeling and Simulation (6 citations) and Epidemiology (34 citations). Inès Levade has collaborated with scholars based in Canada, United States and Bangladesh. Frequent co-authors include B. Jesse Shapiro, Salvador Almagro‐Moreno, Gabriela Kovacikova, Ronald K. Taylor, Marcel A. Behr, Jean‐François Proulx, Nicolas Radomski, Dick Menzies, Fiona A. McIntosh and Hafid Soualhine. Their work appears in journals such as Viruses, Microbial Genomics, Cell Reports, mSystems and Journal of Clinical Virology.

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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