Jean‐Loup Risler

1.4k citations
20 papers · 1.0k · h-index 16

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • Genomics and Phylogenetic Studies 4
    • RNA modifications and cancer 4
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Machine Learning in Bioinformatics 2
    • Photosynthetic Processes and Mechanisms 2
    • Enzyme Structure and Function 4

Jean‐Loup Risler

20 papers receiving 1.0k citations

Peers

Jean‐Loup Risler
Comparison fields: 5 of 94
  • Microbiology 22
  • Small Animals 154
  • Infectious Diseases 275
  • Epidemiology 359
  • Molecular Biology 645
Replace Lene Jakobsen with:
Lene Jakobsen Denmark
Markus Kostrzewa Germany
Jens Mattow Germany
Akash Ranjan India
Fumio Kitame Japan
Oluwatoyin A. Asojo United States
J.A. Dunkle United States
K. G. Johnson Canada
James H. McKerrow United States
Isabelle Florent France
Jean‐Loup Risler relative to Lene Jakobsen Denmark Lene Jakobsen's profile →
Citations per field
00.5×7.3×
Lene Jakobsen · 1×
Citations per year

Countries citing papers authored by Jean‐Loup Risler

Since Specialization
Citations

This map shows the geographic impact of Jean‐Loup 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 Jean‐Loup Risler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Loup Risler more than expected).

Fields of papers citing papers by Jean‐Loup Risler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Loup 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 Jean‐Loup Risler. The network helps show where Jean‐Loup Risler may publish in the future.

Co-authors

The 25 scholars most cited alongside Jean‐Loup Risler, 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‐Loup Risler Line = papers co-authored together Jean‐Loup Risler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009298
2 2006111
3 200798
4 200168
5 197165
6 200258
7 200056
8 198749
9 200343
10 199340
11 200527
12 199926
13 199522
14 197322
15 200619
16 200219
17 199211
18 19947
19 19747
20 19903

About Jean‐Loup Risler

Jean‐Loup Risler is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Epidemiology and Genetics, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers), Enzyme Structure and Function (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Microbiology (22 citations), Small Animals (154 citations), Infectious Diseases (275 citations), Epidemiology (359 citations) and Molecular Biology (645 citations). Jean‐Loup Risler has collaborated with scholars based in France, Canada and Hong Kong. Frequent co-authors include Sophie Pasek, Pierre Brézellec, Jean‐Louis Gaillard, Fabienne Neulat-Ripoll, Mamadou Daffé, Carole Dossat, Béate Heym, Jean‐Louis Herrmann, Valérie Barbe and Martin Rottman. Their work appears in journals such as FEBS Letters, Journal of Molecular Biology, Microbiology, European Journal of Biochemistry and Bioinformatics.

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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