Cédric Notredame
- Molecular Biology top 0.5%
- Plant Science top 1%
- Genetics top 1%
- Cancer Research top 1%
- Ecology top 2%
- Co-authors
- Desmond G. HigginsJaap HeringaPaolo Di TommasoJia‐Ming ChangSébastien MorettiGiovanni BussottiCarsten KemenaJean-François Taly
- Topics
- Genomics and Phylogenetic Studies (61 papers)RNA and protein synthesis mechanisms (28 papers)Glycosylation and Glycoproteins Research (19 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- SpainFranceSwitzerland
In The Last Decade
Cédric Notredame
104 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 9.5k
- Plant Science 1.8k
- Genetics 1.8k
- Cancer Research 1.6k
- Ecology 982
Countries citing papers authored by Cédric Notredame
This map shows the geographic impact of Cédric Notredame'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 Cédric Notredame with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Notredame more than expected).
Fields of papers citing papers by Cédric Notredame
This network shows the impact of papers produced by Cédric Notredame. 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 Cédric Notredame. The network helps show where Cédric Notredame may publish in the future.
Co-authorship network of co-authors of Cédric Notredame
This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Notredame. A scholar is included among the top collaborators of Cédric Notredame 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 Cédric Notredame. Cédric Notredame is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 19 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 195 | |
| 6 | 20 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 55 | |
| 10 | 14 | |
| 11 | 75 | |
| 12 | 41 | |
| 13 | 22 | |
| 14 | 37 | |
| 15 | 4 | |
| 16 | Multichannel Sequence Analysis Applied to Social Science Data | 2 |
| 17 | How Much Does it Cost? Optimization of Costs in Sequence Analysis of Social Science Data | 4 |
| 18 | 139 | |
| 19 | Using Multiple Alignment Methods to Assess the Quality of Genomic Data Analysis. | 21 |
| 20 | 40 |
About Cédric Notredame
Cédric Notredame is a scholar working on Molecular Biology, Information Systems and Management and Genetics, having authored 105 papers that have together received 13.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (61 papers), RNA and protein synthesis mechanisms (28 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Molecular Biology (9.5k citations), Cancer Research (1.6k citations) and Endocrinology (321 citations). Cédric Notredame has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include Desmond G. Higgins, Jaap Heringa, Paolo Di Tommaso, Jia‐Ming Chang, Sébastien Moretti, Giovanni Bussotti, Carsten Kemena, Jean-François Taly, Matthias Zytnicki and Ionas Erb. Their work appears in journals such as Nature, Cell 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.