Sébastien Sachetelli

642 total citations
8 papers, 533 citations indexed

About

Sébastien Sachetelli is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Molecular Medicine. According to data from OpenAlex, Sébastien Sachetelli has authored 8 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Medicine. Recurrent topics in Sébastien Sachetelli's work include Inhalation and Respiratory Drug Delivery (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumonia and Respiratory Infections (2 papers). Sébastien Sachetelli is often cited by papers focused on Inhalation and Respiratory Drug Delivery (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Pneumonia and Respiratory Infections (2 papers). Sébastien Sachetelli collaborates with scholars based in Canada and United States. Sébastien Sachetelli's co-authors include Christian Beaulac, Jacqueline Lagacé, Josée Lagacé, F. Liu, Deng‐Fu Guo, Julie R. Ingelfinger, John S.D. Chan, János G. Filep, Tao Chen and Serge Sénéchal and has published in prestigious journals such as Kidney International, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Sébastien Sachetelli

8 papers receiving 520 citations

Peers

Sébastien Sachetelli
Comparison fields: 5 of 79
  • Molecular Biology 191
  • Cardiology and Cardiovascular Medicine 106
  • Pulmonary and Respiratory Medicine 103
  • Endocrinology, Diabetes and Metabolism 98
  • Pharmacology 68
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Kiumars Vadiei United States
W. A. Stack United Kingdom
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Gerard P. Palace United States
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Citations per field, relative to Sébastien Sachetelli
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Citations per year, relative to Sébastien Sachetelli
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Countries citing papers authored by Sébastien Sachetelli

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Sachetelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Sachetelli

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Sachetelli. A scholar is included among the top collaborators of Sébastien Sachetelli 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 Sébastien Sachetelli. Sébastien Sachetelli 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
# Work Indexed citations
1 138
2 111
3 111
4 36
5 21
6 11
7 21
8 84

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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