Anne Prévötat

1.9k total citations · 1 hit paper
25 papers, 853 citations indexed

About

Anne Prévötat is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Anne Prévötat has authored 25 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Anne Prévötat's work include Cystic Fibrosis Research Advances (17 papers), Neonatal Respiratory Health Research (6 papers) and Tracheal and airway disorders (4 papers). Anne Prévötat is often cited by papers focused on Cystic Fibrosis Research Advances (17 papers), Neonatal Respiratory Health Research (6 papers) and Tracheal and airway disorders (4 papers). Anne Prévötat collaborates with scholars based in France, Australia and Greece. Anne Prévötat's co-authors include B. Wallaert, Sylvie Leroy, Julia Salleron, Laurence Delhaès, Télesphore Sime‐Ngando, Christine Hubans, Éric Viscogliosi, Eduardo Dei‐Cas, F. Wallet and Magali Chabé and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Respiratory Medicine.

In The Last Decade

Anne Prévötat

22 papers receiving 840 citations

Hit Papers

Rapid Improvement after Starting Elexacaftor–Tezacaftor–I... 2021 2026 2022 2024 2021 40 80 120

Peers

Anne Prévötat
Comparison fields: 5 of 83
  • Pulmonary and Respiratory Medicine 626
  • Molecular Biology 198
  • Infectious Diseases 164
  • Epidemiology 154
  • Emergency Medical Services 86
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Citations per field, relative to Anne Prévötat
Anne Prévötat · 1×
Citations per year, relative to Anne Prévötat
Anne Prévötat · 1×

Countries citing papers authored by Anne Prévötat

Since Specialization
Citations

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

Fields of papers citing papers by Anne Prévötat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Prévötat

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2
Rapid Improvement after Starting Elexacaftor–Tezacaftor–Ivacaftor in Patients with Cystic Fibrosis and Advanced Pulmonary Disease breakdown →
148
3 24
4 0
5 92
6 9
7 29
8 3
9 16
10 5
11 7
12 72
13 19
14 4
15 27
16 59
17 49
18 282
19 1
20 1

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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