Anniek Corveleyn

3.3k citations
44 papers · 1.3k indexed · h-index 17

Anniek Corveleyn

43 papers receiving 1.3k citations

Peers

Anniek Corveleyn
Comparison fields: 5 of 99
  • Genetics 430
  • Genetics 133
  • Cancer Research 157
  • Neurology 143
  • Hematology 103
Replace Adriano Angioni with:
Adriano Angioni Italy
Jean McGowan‐Jordan Canada
Chela James United Kingdom
Shalini C. Reshmi United States
Norimichi Nemoto Japan
Walter W. Noll United States
Salma M. Wakil Saudi Arabia
Pamela S. Karnes United States
Janet M. Cowan United States
Irene Bottillo Italy
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Citations per field
00.5×3.0×
Adriano Angioni · 1×
Citations per year

Countries citing papers authored by Anniek Corveleyn

Since Specialization
Citations

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

Fields of papers citing papers by Anniek Corveleyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 20233
3 20210
4 202031
5 201961
6 20198
7 201816
8 20189
9 201713
10 201717
11 201540
12 201536
13
EuroGentest guidelines for diagnostic next generation sequencing
20143
14 201418
15 20145
16
Massive parallel Sequencing in non-syndromic familial CHD
20131
17 201313
18 20059
19
The TET RNA-binding proteins, EWSR1 and TAF15, are involved in acute lymphoblastic leukemia, through fusion with a new transcription factor, CIZ/NMP4
20022
20 199929

About Anniek Corveleyn

Anniek Corveleyn is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Genetics, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (8 papers), Genomics and Rare Diseases (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), RNA modifications and cancer (6 papers), Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Ion channel regulation and function (5 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Genetics (430 citations), Genetics (133 citations) and Cancer Research (157 citations). Anniek Corveleyn has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Gert Matthijs, Erika Souche, Hans Scheffer, Marjan M. Weiss, Helger G. Yntema, Mariëlle Alders, Egbert Bakker, Sebastian Eck, Marc Sturm and Erik A. Sistermans. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Neurology.

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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