Erik C. Thorland

10.9k citations
61 papers · 4.2k indexed · 2 hit papers · h-index 28

Erik C. Thorland

59 papers receiving 4.1k citations

Hit Papers

Technical standards for the interpretat...8792011202620162021250500750

Peers

Erik C. Thorland
Comparison fields: 5 of 106
  • Genetics 2.1k
  • Pediatrics, Perinatology and Child Health 843
  • Molecular Biology 1.8k
  • Cancer Research 360
  • Epidemiology 775
Replace Ying Qi with:
Ying Qi China
Sarah T. South United States
Koh-ichiro Yoshiura Japan
Corry M.R. Weemaes Netherlands
Jian‐Min Chen France
Miguel N. Rivera United States
Graham F. Kay Australia
Eric Seboun United States
Yoshihide Ueda Japan
K Ozawa Japan
Erik C. Thorland relative to Ying Qi China Ying Qi's profile →
Citations per field
00.5×2.9×
Ying Qi · 1×
Citations per year

Countries citing papers authored by Erik C. Thorland

Since Specialization
Citations

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

Fields of papers citing papers by Erik C. Thorland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik C. Thorland. 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 Erik C. Thorland. The network helps show where Erik C. Thorland may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202135
3
Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)breakdown →
2019879
4 201840
5 201420
6 2013208
7 201153
8
American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variantsbreakdown →
2011643
9 2009101
10 200923
11 200890
12 2008107
13 200825
14 20078
15 200713
16 200513
17 2003195
18 2003171
19 200274
20 1997133

About Erik C. Thorland

Erik C. Thorland is a scholar working on Genetics, Genetics and Hematology, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (23 papers), Genomics and Rare Diseases (10 papers), Epigenetics and DNA Methylation (9 papers), Prenatal Screening and Diagnostics (9 papers), Cancer-related gene regulation (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Hemophilia Treatment and Research (5 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Genetics (2.1k citations), Pediatrics, Perinatology and Child Health (843 citations) and Molecular Biology (1.8k citations). Erik C. Thorland has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hutton M. Kearney, Sarah T. South, Kerry K. Brown, Fabiola Quintero‐Rivera, Jeremy C. Smith, Bobbie S. Gostout, Erin Rooney Riggs, Erica Andersen, Swaroop Aradhya and Ankita Patel. Their work appears in journals such as Journal of Clinical Investigation, 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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