J.L. Risler
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
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- RNA and protein synthesis mechanisms 13
- Machine Learning in Bioinformatics 8
- Genomics and Phylogenetic Studies 7
- Protein Structure and Dynamics 5
- RNA modifications and cancer 3
- Fungal and yeast genetics research 2
- DNA and Nucleic Acid Chemistry 2
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- Enzyme Structure and Function 7
- Co-authors
- S. Brunie (6 shared papers)C. Zelwer (6 shared papers)Alain Hénaut (6 shared papers)H. Delacroix (2 shared papers)Marie-Odile Delorme (1 shared paper)Claude Monteilhet (2 shared papers)Jean‐Philippe Salier (3 shared papers)Mark A. Rould (2 shared papers)
In The Last Decade
J.L. Risler
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.1k
- Genetics 262
- Cell Biology 80
- Immunology and Allergy 27
- Materials Chemistry 217
Countries citing papers authored by J.L. Risler
This map shows the geographic impact of J.L. Risler'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.L. Risler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.L. Risler more than expected).
Fields of papers citing papers by J.L. Risler
This network shows the impact of papers produced by J.L. Risler. 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.L. Risler. The network helps show where J.L. Risler may publish in the future.
Co-authors
The 25 scholars most cited alongside J.L. Risler, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 282 | |
| 2 | 1990 | 212 | |
| 3 | 1982 | 131 | |
| 4 | 1991 | 66 | |
| 5 | 1983 | 66 | |
| 6 | 1981 | 64 | |
| 7 | 1985 | 57 | |
| 8 | 1995 | 49 | |
| 9 | 1970 | 49 | |
| 10 | 1998 | 42 | |
| 11 | 1995 | 41 | |
| 12 | 1993 | 39 | |
| 13 | 2004 | 35 | |
| 14 | 1976 | 32 | |
| 15 | 1998 | 24 | |
| 16 | 1969 | 24 | |
| 17 | 1995 | 22 | |
| 18 | 1997 | 20 | |
| 19 | 1999 | 19 | |
| 20 | 1999 | 15 |
About J.L. Risler
J.L. Risler is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Oncology and Cell Biology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Machine Learning in Bioinformatics (8 papers), Enzyme Structure and Function (7 papers), Genomics and Phylogenetic Studies (7 papers), Protein Structure and Dynamics (5 papers), RNA modifications and cancer (3 papers), Fungal and yeast genetics research (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (262 citations), Cell Biology (80 citations), Immunology and Allergy (27 citations) and Materials Chemistry (217 citations). J.L. Risler has collaborated with scholars based in France, Japan and Belgium. Frequent co-authors include S. Brunie, C. Zelwer, Alain Hénaut, H. Delacroix, Marie-Odile Delorme, Claude Monteilhet, Jean‐Philippe Salier, Mark A. Rould, John J. Perona and Piotr P. Słonimski. Their work appears in journals such as Journal of Molecular Biology, Biochimie, European Journal of Biochemistry, FEBS Letters and Methods in microbiology.
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.