Jean‐Pierre Bachellerie

5.2k citations
74 papers · 4.3k indexed · h-index 35
    • RNA and protein synthesis mechanisms 56
    • RNA modifications and cancer 54
    • RNA Research and Splicing 42
    • Genomics and Phylogenetic Studies 11
    • RNA regulation and disease 7
    • DNA and Nucleic Acid Chemistry 6
    • Genomics and Chromatin Dynamics 3
    • Cancer-related molecular mechanisms research 5
  • Genetics top 5%
  • Ecology top 5%

Jean‐Pierre Bachellerie

74 papers receiving 4.1k citations

Peers

Jean‐Pierre Bachellerie
Comparison fields: 5 of 116
  • Molecular Biology 3.8k
  • Cancer Research 525
  • Genetics 654
  • Parasitology 139
  • Ecology 443
Replace Fred S. Dietrich with:
Fred S. Dietrich United States
Gregory Hinkle United States
Jean-Pierre Bachellerie France
Ronald E. Pearlman Canada
Adam Pavlı́c̀ek United States
Daniel J. Turner United Kingdom
Jonathan P. Rast United States
Wojciech Makałowski Germany
N C Jones United States
Alexandre Melnikov United States
Jean‐Pierre Bachellerie relative to Fred S. Dietrich United States Fred S. Dietrich's profile →
Citations per field
00.5×1.5×2.4×
Fred S. Dietrich · 1×
Citations per year

Countries citing papers authored by Jean‐Pierre Bachellerie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jean‐Pierre Bachellerie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jean‐Pierre Bachellerie Line = papers co-authored together Jean‐Pierre Bachellerie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200431
2 2003288
3 200165
4 2000141
5 1999139
6 199677
7 1995143
8 199418
9 19939
10 19934
11 199324
12 1993134
13 199216
14 1991115
15 199114
16 199069
17 19909
18 19895
19 198910
20 198834

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), RNA Research and Splicing (42 papers), Genomics and Phylogenetic Studies (11 papers), RNA regulation and disease (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Cancer-related molecular mechanisms research (5 papers) and Genomics and Chromatin Dynamics (3 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.

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