J.P. Ebel
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- DNA and Nucleic Acid Chemistry
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in ⓘ
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- RNA and protein synthesis mechanisms 61
- RNA modifications and cancer 42
- RNA Research and Splicing 11
- Genomics and Phylogenetic Studies 9
- DNA and Nucleic Acid Chemistry 7
- Chemical Synthesis and Analysis 4
- Genetics 9
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Richard Giegé (15 shared papers)Chantal Ehresmann (14 shared papers)Dino Moras (6 shared papers)Pascale Romby (12 shared papers)Bernard Ehresmann (14 shared papers)G. Dirheimer (13 shared papers)J. C. Thierry (3 shared papers)Peter Fellner (5 shared papers)
In The Last Decade
J.P. Ebel
68 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 2.1k
- Genetics 334
- Ecology 211
- Spectroscopy 83
- Endocrinology 24
Countries citing papers authored by J.P. Ebel
This map shows the geographic impact of J.P. Ebel'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 J.P. Ebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. Ebel more than expected).
Fields of papers citing papers by J.P. Ebel
This network shows the impact of papers produced by J.P. Ebel. 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 J.P. Ebel. The network helps show where J.P. Ebel may publish in the future.
Co-authors
The 25 scholars most cited alongside J.P. Ebel, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 239 | |
| 2 | 1985 | 112 | |
| 3 | 1975 | 104 | |
| 4 | 1975 | 95 | |
| 5 | 1989 | 87 | |
| 6 | 1987 | 74 | |
| 7 | 1976 | 71 | |
| 8 | 1981 | 70 | |
| 9 | 1981 | 61 | |
| 10 | 1972 | 59 | |
| 11 | 1990 | 56 | |
| 12 | 1981 | 53 | |
| 13 | 1973 | 53 | |
| 14 | 1987 | 52 | |
| 15 | 1983 | 52 | |
| 16 | 1975 | 47 | |
| 17 | 1983 | 45 | |
| 18 | 1971 | 44 | |
| 19 | 1988 | 42 | |
| 20 | 1988 | 40 |
About J.P. Ebel
J.P. Ebel is a scholar working on Molecular Biology, Genetics, Spectroscopy, Ecology and Pharmaceutical Science, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (61 papers), RNA modifications and cancer (42 papers), RNA Research and Splicing (11 papers), Bacterial Genetics and Biotechnology (9 papers), Genomics and Phylogenetic Studies (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Bacteriophages and microbial interactions (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Genetics (334 citations), Ecology (211 citations), Spectroscopy (83 citations) and Endocrinology (24 citations). J.P. Ebel has collaborated with scholars based in France, Denmark and Russia. Frequent co-authors include Richard Giegé, Chantal Ehresmann, Dino Moras, Pascale Romby, Bernard Ehresmann, G. Dirheimer, J. C. Thierry, Peter Fellner, Christiane Branlant and J. Fischer. Their work appears in journals such as FEBS Letters, Biochemistry, Biochimie, Journal of Molecular Biology 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.