Danielle Canceill
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
- Molecular Biology Techniques and Applications
Papers in
-
- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Microbial Metabolic Engineering and Bioproduction 1
- RNA Research and Splicing 1
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- S. Dusko Ehrlich (3 shared papers)Enrique Viguera (2 shared papers)Laurent Jannière (3 shared papers)Emmanuelle Le Chatelier (3 shared papers)Etienne Dervyn (2 shared papers)Olivier Huisman (2 shared papers)S. Dusko Ehrlich (2 shared papers)Jean‐Bernard Créchet (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Bacteriology (2 papers)European Journal of Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Danielle Canceill
9 papers receiving 405 citations
Peers
Comparison fields: 5 of 63
- Genetics 199
- Molecular Biology 354
- Molecular Medicine 20
- Ecology 58
- Endocrinology 11
Countries citing papers authored by Danielle Canceill
This map shows the geographic impact of Danielle Canceill'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 Danielle Canceill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Canceill more than expected).
Fields of papers citing papers by Danielle Canceill
This network shows the impact of papers produced by Danielle Canceill. 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 Danielle Canceill. The network helps show where Danielle Canceill may publish in the future.
Co-authors
The 20 scholars most cited alongside Danielle Canceill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 85 | |
| 2 | 2001 | 77 | |
| 3 | 2007 | 62 | |
| 4 | 1996 | 53 | |
| 5 | 2004 | 44 | |
| 6 | 1986 | 33 | |
| 7 | 1990 | 22 | |
| 8 | 2001 | 21 | |
| 9 | 1990 | 19 |
About Danielle Canceill
Danielle Canceill is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Materials Chemistry, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Bacteriophages and microbial interactions (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Enzyme Structure and Function (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Genetics (199 citations), Molecular Biology (354 citations), Molecular Medicine (20 citations), Ecology (58 citations) and Endocrinology (11 citations). Danielle Canceill has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include S. Dusko Ehrlich, Enrique Viguera, Laurent Jannière, Emmanuelle Le Chatelier, Etienne Dervyn, Olivier Huisman, S. Dusko Ehrlich, Jean‐Bernard Créchet, Andrea Parmeggiani and Vincenzo Bocchini. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, European Journal of Biochemistry, Proceedings of the National Academy of Sciences and PLoS ONE.
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.