Claude Gaillardin
- Molecular Biology top 1%
- Biomedical Engineering top 2%
- Plant Science top 2%
- Infectious Diseases top 2%
- Food Science top 1%
- Co-authors
- Gerold BarthJean‐Marc NicaudJean-Marie BeckerichCécile NeuvégliseCatherine MadzakAthanasios BéopoulosPhilippe FournierH. Heslot
- Topics
- Fungal and yeast genetics research (43 papers)Microbial Metabolic Engineering and Bioproduction (38 papers)RNA and protein synthesis mechanisms (21 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Claude Gaillardin
86 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 4.1k
- Biomedical Engineering 1.2k
- Plant Science 817
- Infectious Diseases 774
- Food Science 741
Countries citing papers authored by Claude Gaillardin
This map shows the geographic impact of Claude Gaillardin'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 Claude Gaillardin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Gaillardin more than expected).
Fields of papers citing papers by Claude Gaillardin
This network shows the impact of papers produced by Claude Gaillardin. 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 Claude Gaillardin. The network helps show where Claude Gaillardin may publish in the future.
Co-authorship network of co-authors of Claude Gaillardin
This figure shows the co-authorship network connecting the top 25 collaborators of Claude Gaillardin. A scholar is included among the top collaborators of Claude Gaillardin 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 Claude Gaillardin. Claude Gaillardin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The system Cre/loxP as a tool in the molecular study of Yarrowia lipolytica | 1 |
| 2 | El sistema Cre/loxP1 como una herramienta genética en Yarrowia lipolytica | 3 |
| 3 | 297 | |
| 4 | 44 | |
| 5 | 166 | |
| 6 | 50 | |
| 7 | 5 | |
| 8 | 164 | |
| 9 | 54 | |
| 10 | 28 | |
| 11 | 27 | |
| 12 | Utilisation de sondes ADN spécifiques pour la caractérisation rapide de levures isolées d'écosystèmes complexes | 2 |
| 13 | 66 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 60 | |
| 17 | 52 | |
| 18 | 32 | |
| 19 | 18 | |
| 20 | 18 |
About Claude Gaillardin
Claude Gaillardin is a scholar working on Molecular Biology, Food Science and Infectious Diseases, having authored 87 papers that have together received 5.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (43 papers), Microbial Metabolic Engineering and Bioproduction (38 papers) and RNA and protein synthesis mechanisms (21 papers). The work is most often cited by research in Biotechnology (525 citations), Molecular Biology (4.1k citations) and Infectious Diseases (774 citations). Claude Gaillardin has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gerold Barth, Jean‐Marc Nicaud, Jean-Marie Beckerich, Cécile Neuvéglise, Catherine Madzak, Athanasios Béopoulos, Philippe Fournier, H. Heslot, Muriel Cornet and Teun Boekhout. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.