Raymond Ripp
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Peroxisome Proliferator-Activated Receptors
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
Papers in
-
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 6
- Retinal Development and Disorders 4
- Machine Learning in Bioinformatics 3
- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 3
- Genetics 4
- Co-authors
- Olivier Poch (27 shared papers)Julie Thompson (15 shared papers)Patrice Koehl (1 shared paper)Odile Lecompte (12 shared papers)Jean‐Claude Thierry (4 shared papers)Agatha Schlüter (2 shared papers)Stéphane Fourcade (2 shared papers)Aurora Pujol (2 shared papers)
- Journals
- BMC Genomics (3 papers)Nucleic Acids Research (3 papers)Bioinformatics (2 papers)Biosystems (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Raymond Ripp
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.1k
- Genetics 175
- Ecology 120
- Biochemistry 32
- Ophthalmology 39
Countries citing papers authored by Raymond Ripp
This map shows the geographic impact of Raymond Ripp'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 Raymond Ripp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Ripp more than expected).
Fields of papers citing papers by Raymond Ripp
This network shows the impact of papers produced by Raymond Ripp. 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 Raymond Ripp. The network helps show where Raymond Ripp may publish in the future.
Co-authors
The 25 scholars most cited alongside Raymond Ripp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 286 | |
| 2 | 2006 | 132 | |
| 3 | 2003 | 128 | |
| 4 | 2001 | 100 | |
| 5 | 2001 | 62 | |
| 6 | 2006 | 62 | |
| 7 | 2012 | 49 | |
| 8 | 2011 | 40 | |
| 9 | 2018 | 40 | |
| 10 | 2009 | 39 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2012 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2011 | 24 | |
| 16 | 2012 | 24 | |
| 17 | 2018 | 17 | |
| 18 | 2005 | 15 | |
| 19 | 2014 | 15 | |
| 20 | 2012 | 14 |
About Raymond Ripp
Raymond Ripp is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (6 papers), Enzyme Structure and Function (4 papers), Retinal Development and Disorders (4 papers), Machine Learning in Bioinformatics (3 papers), RNA Research and Splicing (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (175 citations), Ecology (120 citations), Biochemistry (32 citations) and Ophthalmology (39 citations). Raymond Ripp has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Olivier Poch, Julie Thompson, Patrice Koehl, Odile Lecompte, Jean‐Claude Thierry, Agatha Schlüter, Stéphane Fourcade, Aurora Pujol, Jean‐Louis Mandel and Frédéric Plewniak. Their work appears in journals such as BMC Genomics, Nucleic Acids Research, Bioinformatics, Biosystems and Molecular Biology and Evolution.
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.