Jean‐Pierre Bachellerie
- Molecular Biology top 2%
- Genetics top 5%
- Plant Science top 5%
- Cancer Research top 5%
- Ecology top 5%
- Co-authors
- Bernard MichotJérôme CavailléEdmond PuvionF Puvion-DutilleulFrançoise RaynalAlexander HüttenhoferJürgen BrosiusLiang Qu
- Topics
- RNA and protein synthesis mechanisms (56 papers)RNA modifications and cancer (54 papers)RNA Research and Splicing (42 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean‐Pierre Bachellerie
74 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 3.8k
- Genetics 654
- Plant Science 556
- Cancer Research 525
- Ecology 443
Countries citing papers authored by Jean‐Pierre Bachellerie
This map shows the geographic impact of Jean‐Pierre Bachellerie'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 Jean‐Pierre Bachellerie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Bachellerie more than expected).
Fields of papers citing papers by Jean‐Pierre Bachellerie
This network shows the impact of papers produced by Jean‐Pierre Bachellerie. 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 Jean‐Pierre Bachellerie. The network helps show where Jean‐Pierre Bachellerie may publish in the future.
Co-authorship network of co-authors of Jean‐Pierre Bachellerie
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Bachellerie. A scholar is included among the top collaborators of Jean‐Pierre Bachellerie 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 Jean‐Pierre Bachellerie. Jean‐Pierre Bachellerie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 288 | |
| 3 | 65 | |
| 4 | 141 | |
| 5 | 139 | |
| 6 | 77 | |
| 7 | 143 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 134 | |
| 13 | 16 | |
| 14 | 115 | |
| 15 | 14 | |
| 16 | 69 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 10 | |
| 20 | 34 |
About Jean‐Pierre Bachellerie
Jean‐Pierre Bachellerie is a scholar working on Molecular Biology, Cancer Research and Parasitology, having authored 74 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (56 papers), RNA modifications and cancer (54 papers) and RNA Research and Splicing (42 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Cancer Research (525 citations) and Genetics (654 citations). Jean‐Pierre Bachellerie has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bernard Michot, Jérôme Cavaillé, Edmond Puvion, F Puvion-Dutilleul, Françoise Raynal, Alexander Hüttenhofer, Jürgen Brosius, Liang Qu, Liang‐Hu Qu and Neus Visa. 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.