Erik C. Thorland
- Genetics top 0.5%
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Epidemiology top 5%
- Oncology top 5%
- Co-authors
- Hutton M. KearneySarah T. SouthKerry K. BrownFabiola Quintero‐RiveraJeremy C. SmithBobbie S. GostoutErin Rooney RiggsErica Andersen
- Topics
- Genomic variations and chromosomal abnormalities (23 papers)Genomics and Rare Diseases (10 papers)Epigenetics and DNA Methylation (9 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Erik C. Thorland
59 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 2.1k
- Molecular Biology 1.8k
- Pediatrics, Perinatology and Child Health 843
- Epidemiology 775
- Oncology 542
Countries citing papers authored by Erik C. Thorland
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
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 of co-authors of Erik C. Thorland
This figure shows the co-authorship network connecting the top 25 collaborators of Erik C. Thorland. A scholar is included among the top collaborators of Erik C. Thorland 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 Erik C. Thorland. Erik C. Thorland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 35 | |
| 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 → | 879 |
| 4 | 40 | |
| 5 | 20 | |
| 6 | 208 | |
| 7 | 53 | |
| 8 | American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variantsbreakdown → | 643 |
| 9 | 101 | |
| 10 | 23 | |
| 11 | 90 | |
| 12 | 107 | |
| 13 | 25 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 195 | |
| 18 | 171 | |
| 19 | 74 | |
| 20 | 133 |
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) and Epigenetics and DNA Methylation (9 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.