Marie‐Laure Sobrier

2.8k citations
50 papers · 2.0k indexed · h-index 24

Marie‐Laure Sobrier

48 papers receiving 2.0k citations

Peers

Marie‐Laure Sobrier
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Genetics 834
  • Cancer Research 213
  • Molecular Biology 960
  • Cardiology and Cardiovascular Medicine 204
Replace Harry P. Elsholtz with:
Harry P. Elsholtz Canada
Bénédicte Duriez France
Helen W. Davey New Zealand
Lisbeth S. Laursen Denmark
Kathleen M. Scully United States
Philip G. Hollingshead United States
Floria Lupu United States
Adam Denley Australia
P. Colosi United States
J W Voss United States
Marie‐Laure Sobrier relative to Harry P. Elsholtz Canada Harry P. Elsholtz's profile →
Citations per field
00.5×6.5×
Harry P. Elsholtz · 1×
Citations per year

Countries citing papers authored by Marie‐Laure Sobrier

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Laure Sobrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202257
2 20213
3 201933
4
Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern
20161
5 20128
6 201111
7 200823
8 200443
9 2000162
10 199824
11 199752
12 199786
13 199395
14 19931
15 199346
16 199172
17 199037
18 19898
19 198815
20 198616

About Marie‐Laure Sobrier

Marie‐Laure Sobrier is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Genetic Syndromes and Imprinting (12 papers), Neurobiology and Insect Physiology Research (9 papers), Digestive system and related health (5 papers), Epigenetics and DNA Methylation (5 papers), Congenital heart defects research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Genetics (834 citations) and Cancer Research (213 citations). Marie‐Laure Sobrier has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Serge Amselem, Philippe Duquesnoy, Michel Goossens, Bénédicte Duriez, Irène Netchine, Florence Dastot, Jacques Pantel, B. Dastugue, Mohamad Maghnie and M Goossens.

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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