Daniel A. Lafontaine
- Molecular Biology top 2%
- Genetics top 2%
- Ecology top 5%
- Infectious Diseases top 10%
- Microbiology top 5%
- Co-authors
- J. Carlos PenedoJérôme MulhbacherJean‐François LemayÉric MasséDavid M.J. LilleySimon BlouinLaurène BastetPatrick St-Pierre
- Topics
- RNA and protein synthesis mechanisms (62 papers)RNA modifications and cancer (44 papers)Bacterial Genetics and Biotechnology (22 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Daniel A. Lafontaine
81 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.6k
- Genetics 794
- Ecology 365
- Infectious Diseases 165
- Microbiology 91
Countries citing papers authored by Daniel A. Lafontaine
This map shows the geographic impact of Daniel A. Lafontaine'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 Daniel A. Lafontaine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Lafontaine more than expected).
Fields of papers citing papers by Daniel A. Lafontaine
This network shows the impact of papers produced by Daniel A. Lafontaine. 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 Daniel A. Lafontaine. The network helps show where Daniel A. Lafontaine may publish in the future.
Co-authorship network of co-authors of Daniel A. Lafontaine
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Lafontaine. A scholar is included among the top collaborators of Daniel A. Lafontaine 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 Daniel A. Lafontaine. Daniel A. Lafontaine 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 39 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 69 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | 131 | |
| 14 | 66 | |
| 15 | 63 | |
| 16 | 72 | |
| 17 | 10 | |
| 18 | 64 | |
| 19 | 3 | |
| 20 | 17 |
About Daniel A. Lafontaine
Daniel A. Lafontaine is a scholar working on Molecular Biology, Genetics and Infectious Diseases, having authored 82 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (62 papers), RNA modifications and cancer (44 papers) and Bacterial Genetics and Biotechnology (22 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Genetics (794 citations) and Microbiology (91 citations). Daniel A. Lafontaine has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include J. Carlos Penedo, Jérôme Mulhbacher, Jean‐François Lemay, Éric Massé, David M.J. Lilley, Simon Blouin, Laurène Bastet, Patrick St-Pierre, D. Norman and Louis‐Charles Fortier. 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.