Laure Frésard

13.5k citations
18 papers · 1.1k indexed · 1 hit paper · h-index 13
  • Aging top 10%
  • Genetics top 5%
    • Genomics and Rare Diseases 5
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genetic Syndromes and Imprinting 2
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 3
    • Single-cell and spatial transcriptomics 2

Laure Frésard

17 papers receiving 1.1k citations

Hit Papers

Directed evolution using dCas9-targeted somatic hypermuta...3522016202620192022100200300

Peers

Laure Frésard
Comparison fields: 5 of 97
  • Business and International Management 36
  • Aging 28
  • Genetics 420
  • Molecular Biology 832
  • Neurology 55
Replace Xinde Hu with:
Xinde Hu China
Matthew C. LaFave United States
Toshitsugu Fujita Japan
Peter Lotfy United States
Killian S. Hanlon United States
Maximilian Krause Norway
Yamila N. Torres Cleuren Norway
Håkon Tjeldnes Norway
Ryan L. Collins United States
Haruhiko Miyata Japan
Laure Frésard relative to Xinde Hu China Xinde Hu's profile →
Citations per field
00.5×10×14.8×
Xinde Hu · 1×
Citations per year

Countries citing papers authored by Laure Frésard

Since Specialization
Citations

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

Fields of papers citing papers by Laure Frésard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laure Frésard. 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 Laure Frésard. The network helps show where Laure Frésard may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20250
2 20243
3 202236
4 20224
5 202165
6 202114
7 2020198
8 201838
9 2017158
10 201720
11
Directed evolution using dCas9-targeted somatic hypermutation in mammalian cellsbreakdown →
2016352
12 201554
13 201514
14 201511
15 20141
16 201453
17 201363
18 201221

About Laure Frésard

Laure Frésard is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Business and International Management (36 citations), Aging (28 citations) and Genetics (420 citations). Laure Frésard has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include Stephen B. Montgomery, Amy Li, Michael C. Bassik, Gaelen T. Hess, Karlene A. Cimprich, Kyuho Han, Frédérique Pitel, Mireille Morisson, Soumya Kundu and Michael J. Gloudemans. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and PLoS ONE.

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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