Ellen M. Schmidt
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Genetics 32
- Genetic Associations and Epidemiology 30
- Genomics and Rare Diseases 7
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- Lipid metabolism and biosynthesis 3
- Co-authors
- Gonçalo R. Abecasis (7 shared papers)Seunggeun Lee (2 shared papers)Cristen J. Willer (5 shared papers)Wei Zhou (3 shared papers)Lars G. Fritsche (4 shared papers)Rounak Dey (1 shared paper)Annalisa Buniello (1 shared paper)Jeffrey C. Barrett (1 shared paper)
- Journals
- Nature Genetics (11 papers)The American Journal of Human Genetics (7 papers)Nature Communications (5 papers)Nature (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ellen M. Schmidt
48 papers receiving 15.1k citations
Ellen M. Schmidt's Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 6.4k
- Endocrinology, Diabetes and Metabolism 1.5k
- Cancer Research 1.0k
- Cardiology and Cardiovascular Medicine 1.5k
- Molecular Biology 3.9k
Countries citing papers authored by Ellen M. Schmidt
This map shows the geographic impact of Ellen M. Schmidt'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 Ellen M. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen M. Schmidt more than expected).
Fields of papers citing papers by Ellen M. Schmidt
This network shows the impact of papers produced by Ellen M. Schmidt. 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 Ellen M. Schmidt. The network helps show where Ellen M. Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen M. Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3477 |
| 2 | Discovery and refinement of loci associated with lipid levels Hit paper breakdown → | 2013 | 2380 |
| 3 | Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps Hit paper breakdown → | 2018 | 1275 |
| 4 | New genetic loci link adipose and insulin biology to body fat distribution Hit paper breakdown → | 2015 | 1228 |
| 5 | Common variants associated with plasma triglycerides and risk for coronary artery disease Hit paper breakdown → | 2013 | 727 |
| 6 | Biobank-driven genomic discovery yields new insight into atrial fibrillation biology Hit paper breakdown → | 2018 | 626 |
| 7 | The power of genetic diversity in genome-wide association studies of lipids Hit paper breakdown → | 2021 | 583 |
| 8 | Inherited causes of clonal haematopoiesis in 97,691 whole genomes Hit paper breakdown → | 2020 | 544 |
| 9 | Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease Hit paper breakdown → | 2016 | 469 |
| 10 | Exome-wide association study of plasma lipids in >300,000 individuals Hit paper breakdown → | 2017 | 437 |
| 11 | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation Hit paper breakdown → | 2022 | 435 |
| 12 | Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics Hit paper breakdown → | 2020 | 386 |
| 13 | An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci Hit paper breakdown → | 2021 | 325 |
| 14 | The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals Hit paper breakdown → | 2016 | 324 |
| 15 | 2014 | 253 | |
| 16 | 2016 | 229 | |
| 17 | 2014 | 186 | |
| 18 | 2020 | 161 | |
| 19 | 2020 | 144 | |
| 20 | 2018 | 129 |
About Ellen M. Schmidt
Ellen M. Schmidt is a scholar working on Genetics, Biochemistry, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 50 papers that have together received 15.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Genomics and Rare Diseases (7 papers), Bioinformatics and Genomic Networks (5 papers), Liver Disease Diagnosis and Treatment (5 papers), RNA Research and Splicing (5 papers), Cancer-related gene regulation (4 papers), Lipid metabolism and biosynthesis (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Genetics (6.4k citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Cancer Research (1.0k citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Molecular Biology (3.9k citations). Ellen M. Schmidt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gonçalo R. Abecasis, Seunggeun Lee, Cristen J. Willer, Wei Zhou, Lars G. Fritsche, Rounak Dey, Annalisa Buniello, Jeffrey C. Barrett, Alfredo Miranda and Sachin Kheterpal. Their work appears in journals such as Nature Genetics, The American Journal of Human Genetics, Nature Communications, Nature and Clinical Chemistry and Laboratory Medicine (CCLM).
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.