C. Gaillardin
- Molecular Biology top 2%
- Biomedical Engineering top 5%
- Food Science top 1%
- Plant Science top 5%
- Cell Biology top 5%
- Co-authors
- Jean‐Marc NicaudJ. M. BeckerichMarie‐Thérèse Le DallPatrick FickersM. T. Le DallH. HeslotHoang Anh NguyenPhilippe Fournier
- Topics
- Fungal and yeast genetics research (44 papers)Microbial Metabolic Engineering and Bioproduction (31 papers)Biofuel production and bioconversion (17 papers)
In The Last Decade
C. Gaillardin
66 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.8k
- Biomedical Engineering 733
- Food Science 647
- Plant Science 607
- Cell Biology 382
Countries citing papers authored by C. Gaillardin
This map shows the geographic impact of C. 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 C. Gaillardin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Gaillardin more than expected).
Fields of papers citing papers by C. Gaillardin
This network shows the impact of papers produced by C. 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 C. Gaillardin. The network helps show where C. Gaillardin may publish in the future.
Co-authorship network of co-authors of C. Gaillardin
This figure shows the co-authorship network connecting the top 25 collaborators of C. Gaillardin. A scholar is included among the top collaborators of C. 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 C. Gaillardin. C. 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 | 75 | |
| 2 | 76 | |
| 3 | 226 | |
| 4 | 220 | |
| 5 | Microsatellite typing as a new tool for identification of Saccharomyces cerevisiae strains | 8 |
| 6 | Characterization of an Extracellular Lipase Encoded by LIP2 in Yarrowia lipolytica | 8 |
| 7 | 51 | |
| 8 | 20 | |
| 9 | 49 | |
| 10 | 35 | |
| 11 | Autocloning and amplication of LIP2 in Yarrowia lipolytica | 2 |
| 12 | Genetic analysis of regulatory mutants affecting synthesis of extracellular proteinases in the yeast Yarrowia lipolytica: identification of a RIM101/pacC homolog. | 1 |
| 13 | 147 | |
| 14 | 19 | |
| 15 | 14 | |
| 16 | 190 | |
| 17 | 26 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 19 |
About C. Gaillardin
C. Gaillardin is a scholar working on Molecular Biology, Food Science and Biotechnology, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (44 papers), Microbial Metabolic Engineering and Bioproduction (31 papers) and Biofuel production and bioconversion (17 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Biotechnology (339 citations) and Food Science (647 citations). C. Gaillardin has collaborated with scholars based in France, Morocco and Germany. Frequent co-authors include Jean‐Marc Nicaud, J. M. Beckerich, Marie‐Thérèse Le Dall, Patrick Fickers, M. T. Le Dall, H. Heslot, Hoang Anh Nguyen, Philippe Fournier, Philippe Thonart and Catherine Madzak. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.
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.