Patricia Lemarchand
- Molecular Biology top 5%
- Surgery top 2%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Ronald G. CrystalFabienne FoufellePascal FerréMarc ForetzIzumi YamadaXavier Le LièpvreIsabelle DugailClaire Danel
- Topics
- Virus-based gene therapy research (10 papers)Mesenchymal stem cell research (9 papers)CRISPR and Genetic Engineering (8 papers)
- Cited by
- Molecular BiologySurgeryGenetics
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Patricia Lemarchand
67 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.9k
- Surgery 1.2k
- Genetics 730
- Pulmonary and Respiratory Medicine 464
- Cardiology and Cardiovascular Medicine 439
Countries citing papers authored by Patricia Lemarchand
This map shows the geographic impact of Patricia Lemarchand'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 Patricia Lemarchand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Lemarchand more than expected).
Fields of papers citing papers by Patricia Lemarchand
This network shows the impact of papers produced by Patricia Lemarchand. 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 Patricia Lemarchand. The network helps show where Patricia Lemarchand may publish in the future.
Co-authorship network of co-authors of Patricia Lemarchand
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Lemarchand. A scholar is included among the top collaborators of Patricia Lemarchand 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 Patricia Lemarchand. Patricia Lemarchand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 29 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 34 | |
| 8 | 28 | |
| 9 | 50 | |
| 10 | 33 | |
| 11 | 41 | |
| 12 | Quelle prise en charge des personnes très âgées aux urgences ? Evaluation de 150 patients très âgés au CHU de Rouen | 5 |
| 13 | 3 | |
| 14 | 351 | |
| 15 | 12 | |
| 16 | 81 | |
| 17 | 37 | |
| 18 | 14 | |
| 19 | 15 | |
| 20 | 13 |
About Patricia Lemarchand
Patricia Lemarchand is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Mesenchymal stem cell research (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Surgery (1.2k citations) and Genetics (730 citations). Patricia Lemarchand has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ronald G. Crystal, Fabienne Foufelle, Pascal Ferré, Marc Foretz, Izumi Yamada, Xavier Le Lièpvre, Isabelle Dugail, Claire Danel, Dalila Azzout‐Marniche and David Carling. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.