Fabienne Rajas

4.9k citations
80 papers · 3.1k · h-index 31

Impact in

Papers in

Fabienne Rajas

80 papers receiving 3.0k citations

Peers

Fabienne Rajas
Comparison fields: 5 of 104
  • Physiology 1.1k
  • Endocrine and Autonomic Systems 284
  • Endocrinology, Diabetes and Metabolism 675
  • Rheumatology 611
  • Biochemistry 137
Replace Amandine Gautier‐Stein with:
Amandine Gautier‐Stein France
Assunta Lombardi Italy
Ingrid Dahlman Sweden
Rohit A. Sinha India
Loredana Quadro United States
John C. McLenithan United States
Richard L. Printz United States
Hadi Al‐Hasani Germany
Nobuyuki Takasu Japan
Takehide Ogihara Japan
Fabienne Rajas relative to Amandine Gautier‐Stein France Amandine Gautier‐Stein's profile →
Citations per field
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Amandine Gautier‐Stein · 1×
Citations per year

Countries citing papers authored by Fabienne Rajas

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Rajas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2 2001152
3 2005149
4 1999142
5 2011141
6 2017127
7 2010109
8 200497
9 201988
10 200088
11 200486
12 201282
13 200178
14 200273
15 199666
16 199663
17 201860
18 201152
19 201450
20 201347

About Fabienne Rajas

Fabienne Rajas is a scholar working on Rheumatology, Molecular Biology, Physiology, Surgery and Genetics, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (40 papers), Metabolism, Diabetes, and Cancer (25 papers), Pancreatic function and diabetes (21 papers), Diet and metabolism studies (17 papers), Genetics and Neurodevelopmental Disorders (11 papers), Carbohydrate Chemistry and Synthesis (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Lysosomal Storage Disorders Research (6 papers). The work is most often cited by research in Physiology (1.1k citations), Endocrine and Autonomic Systems (284 citations), Endocrinology, Diabetes and Metabolism (675 citations), Rheumatology (611 citations) and Biochemistry (137 citations). Fabienne Rajas has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Gilles Mithieux, Amandine Gautier‐Stein, Carine Zitoun, Martine Croset, A. Stefanutti, Maud Soty, E. Mutel, Armelle Penhoat, Bernard Rousset and N Bruni. Their work appears in journals such as Journal of Biological Chemistry, Molecular Metabolism, Diabetes, Human Molecular Genetics and Endocrinology.

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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