Jean‐Loup Risler

1.4k citations
20 papers · 1.1k · h-index 16

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 4
    • Genomics and Phylogenetic Studies 3
    • Photosynthetic Processes and Mechanisms 2
    • Biochemical and Structural Characterization 2
    • Machine Learning in Bioinformatics 2
    • Enzyme Structure and Function 4

Jean‐Loup Risler

20 papers receiving 1.1k citations

Peers

Jean‐Loup Risler
Comparison fields: 5 of 92
  • Microbiology 16
  • Small Animals 140
  • Infectious Diseases 252
  • Epidemiology 366
  • Molecular Biology 640
Replace Markus Kostrzewa with:
Markus Kostrzewa Germany
Oluwatoyin A. Asojo United States
James H. McKerrow United States
Jonathan Lowther United Kingdom
Inna V. Krieger United States
Curtis L. Patton United States
Elizabeth L. Ponder United States
Chen Davidovich United States
Samiul Hasan United Kingdom
Dacheng Guo Canada
Jean‐Loup Risler relative to Markus Kostrzewa Germany Markus Kostrzewa's profile →
Citations per field
00.5×
Markus Kostrzewa · 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 2009308
2 2006118
3 2007103
4 200172
5 197169
6 200263
7 200060
8 198751
9 200347
10 199342
11 200530
12 199929
13 197325
14 200225
15 199524
16 200619
17 199213
18 19947
19 19747
20 19903

About Jean‐Loup Risler

Jean‐Loup Risler is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases and Epidemiology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Enzyme Structure and Function (4 papers), RNA modifications and cancer (4 papers), Genomics and Phylogenetic Studies (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Biochemical and Structural Characterization (2 papers), Chromosomal and Genetic Variations (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Microbiology (16 citations), Small Animals (140 citations), Infectious Diseases (252 citations), Epidemiology (366 citations) and Molecular Biology (640 citations). Jean‐Loup Risler has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Sophie Pasek, Pierre Brézellec, Jean‐Louis Gaillard, Fabienne Neulat-Ripoll, Mamadou Daffé, Valérie Barbe, Jean‐Louis Herrmann, Edouard Macheras, Roland Brosch and Chantal Schenowitz. Their work appears in journals such as Journal of Molecular Biology, FEBS Letters, Bioinformatics, Microbiology and Computer applications in the biosciences.

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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