Catherine Naud-Saudreau

731 citations
5 papers · 380 indexed · h-index 5
Topics
Genetic Syndromes and Imprinting (2 papers)Adenosine and Purinergic Signaling (1 paper)Genomics and Rare Diseases (1 paper)
Partner nations
FranceAlgeriaAustralia

In The Last Decade

Catherine Naud-Saudreau

5 papers receiving 367 citations

Peers

Catherine Naud-Saudreau
Comparison fields: 5 of 54
  • Molecular Biology 287
  • Clinical Biochemistry 107
  • Physiology 95
  • Genetics 95
  • Endocrinology, Diabetes and Metabolism 47
Replace Femke C. C. Klouwer with:
Femke C. C. Klouwer Netherlands
Kevin Berendse Netherlands
Muriel Asheuer France
Mohammad Miryounesi Iran
Pascal St-Pierre Canada
Marwan Nashabat Saudi Arabia
Paola Cuccarolo Italy
Michaela Brunner‐Krainz Austria
Tinka Hovnik Slovenia
Natsuko Arai‐Ichinoi Japan
Catherine Naud-Saudreau relative to Femke C. C. Klouwer Netherlands Femke C. C. Klouwer's profile →
Citations per field
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Femke C. C. Klouwer · 1×
Citations per year

Countries citing papers authored by Catherine Naud-Saudreau

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Naud-Saudreau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Naud-Saudreau. 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 Catherine Naud-Saudreau. The network helps show where Catherine Naud-Saudreau may publish in the future.

Co-authorship network of co-authors of Catherine Naud-Saudreau

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 16
2 54
3 45
4 11
5 254

About Catherine Naud-Saudreau

Catherine Naud-Saudreau is a scholar working on Reproductive Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 5 papers that have together received 380 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (2 papers), Adenosine and Purinergic Signaling (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (107 citations), Physiology (27 citations) and Molecular Biology (287 citations). Catherine Naud-Saudreau has collaborated with scholars based in France, Algeria and Australia. Frequent co-authors include Stéphane Blanche, C Griscelli, Isabelle Jambaqué, F. Rocchiccioli, G. Kalifa, Marie-Odile Rolland, Patrick Aubourg, Alain Fischer, Jean‐Louis Chaussain and Pierre-François Bougnères. Their work appears in journals such as New England Journal of Medicine, Journal of Medical Genetics and European Journal of 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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