Natalie Hauser

1.8k citations
26 papers · 575 · h-index 13

Impact in

    • Metabolism and Genetic Disorders
  • Genetics top 10%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Genomics and Rare Diseases 6
    • Genetics and Neurodevelopmental Disorders 4
    • Genomic variations and chromosomal abnormalities 2
    • Congenital heart defects research 2
    • Mitochondrial Function and Pathology 2

Natalie Hauser

26 papers receiving 570 citations

Peers

Natalie Hauser
Comparison fields: 5 of 59
  • Clinical Biochemistry 103
  • Genetics 174
  • Genetics 45
  • Cardiology and Cardiovascular Medicine 85
  • Cell Biology 62
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Citations per field
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Citations per year

Countries citing papers authored by Natalie Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 200874
3 201555
4 201453
5 201550
6 201044
7 201433
8 201430
9 201723
10 201918
11 201818
12 201515
13 201712
14 201811
15 201810
16 202010
17 20189
18 20198
19 20117
20 20195

About Natalie Hauser

Natalie Hauser is a scholar working on Genetics, Molecular Biology, Clinical Biochemistry, Cell Biology and Genetics, having authored 26 papers that have together received 575 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Genomics and Rare Diseases (6 papers), Genetics and Neurodevelopmental Disorders (4 papers), Congenital heart defects research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Clinical Biochemistry (103 citations), Genetics (174 citations), Genetics (45 citations), Cardiology and Cardiovascular Medicine (85 citations) and Cell Biology (62 citations). Natalie Hauser has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Charles P. Venditti, Irini Manoli, Jennifer L. Sloan, Thierry Vilboux, Dale L. Bodian, Abhimanyu Garg, Jonathan C. Cohen, André Bensadoun, Helen H. Hobbs and Jonathan J. Rios. Their work appears in journals such as Molecular Case Studies, Journal of Neurosurgery Pediatrics, American Journal of Neuroradiology, Genetics in Medicine and European Journal of Medical Genetics.

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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