Fabrice Lavial

1.6k citations
21 papers · 1.0k indexed · h-index 14
Topics
Pluripotent Stem Cells Research (13 papers)CRISPR and Genetic Engineering (12 papers)Animal Genetics and Reproduction (9 papers)

In The Last Decade

Fabrice Lavial

21 papers receiving 991 citations

Peers

Fabrice Lavial
Comparison fields: 5 of 74
  • Molecular Biology 779
  • Genetics 324
  • Cancer Research 260
  • Reproductive Medicine 127
  • Public Health, Environmental and Occupational Health 76
Replace Jikui Guan with:
Jikui Guan Sweden
Amy N. Shore United States
Clare Wise United Kingdom
Deborah Hughes United Kingdom
Susanne Lützkendorf Germany
Nick Warr United Kingdom
Valérie Fridmacher France
Hank Lin United States
Wendy Roeb United States
Dawid Eckert Germany
Fabrice Lavial relative to Jikui Guan Sweden Jikui Guan's profile →
Citations per field
00.5×2.7×
Jikui Guan · 1×
Citations per year

Countries citing papers authored by Fabrice Lavial

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Lavial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Lavial

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Lavial. A scholar is included among the top collaborators of Fabrice Lavial 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 Fabrice Lavial. Fabrice Lavial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 11
3 11
4 69
5 1
6 34
7 25
8 50
9 73
10 20
11 10
12 17
13 2
14 62
15 92
16 32
17 242
18 58
19 1
20 173

About Fabrice Lavial

Fabrice Lavial is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and Animal Genetics and Reproduction (9 papers). The work is most often cited by research in Cancer Research (260 citations), Reproductive Medicine (127 citations) and Genetics (324 citations). Fabrice Lavial has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Bertrand Pain, Jacques Samarut, Hervé Acloque, Nathalie Allioli, Philippe Durand, Marie‐Hélène Perrard, Frédéric Chalmel, Véronique Azuara, Alain Puisieux and Anne‐Pierre Morel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

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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