Chiara Auwerx

42 total papers · 702 total citations
16 papers, 221 citations indexed

About

Chiara Auwerx is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chiara Auwerx has authored 16 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chiara Auwerx's work include Genetic Associations and Epidemiology (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (3 papers). Chiara Auwerx is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Genomic variations and chromosomal abnormalities (6 papers) and Genomics and Rare Diseases (3 papers). Chiara Auwerx collaborates with scholars based in Switzerland, Estonia and United Kingdom. Chiara Auwerx's co-authors include Zoltán Kutalik, Marie C. Sadler, Alexandre Reymond, Eleonora Porcu, Kaido Lepik, Andres Metspalu, Reedik Mägi, Federico Santoni, Toshiko Tanaka and Diogo M. Ribeiro and has published in prestigious journals such as Nature Communications, The American Journal of Human Genetics and Genome biology.

In The Last Decade

Chiara Auwerx

15 papers receiving 220 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chiara Auwerx	120	113	34	22	17	16	221
Katarzyna A. Ellsworth	121 1.0×	106 0.9×	20 0.6×	27 1.2×	45 2.6×	15	278
Graciela Moya	85 0.7×	82 0.7×	55 1.6×	19 0.9×	10 0.6×	18	276
Ajay Jajodia	80 0.7×	149 1.3×	16 0.5×	9 0.4×	17 1.0×	16	281
J. de Visser	114 0.9×	77 0.7×	18 0.5×	15 0.7×	5 0.3×	21	326
Sven Duenwald	68 0.6×	194 1.7×	37 1.1×	13 0.6×	35 2.1×	11	305
Nasim Monfared	177 1.5×	63 0.6×	61 1.8×	29 1.3×	33 1.9×	9	262
M. Ikonen	54 0.5×	94 0.8×	39 1.1×	18 0.8×	9 0.5×	14	324
Hyo‐Jeong Ban	70 0.6×	131 1.2×	10 0.3×	37 1.7×	24 1.4×	22	295
Binglan Li	96 0.8×	102 0.9×	12 0.4×	8 0.4×	23 1.4×	22	223
Tengfei Wang	41 0.3×	74 0.7×	46 1.4×	31 1.4×	9 0.5×	17	195

Countries citing papers authored by Chiara Auwerx

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Auwerx

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Auwerx

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

All Works

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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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