Michael H Preuss
Impact in
- Genetics top 0.05%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
- Nephrology top 0.5%
Papers in
- Genetics 80
- Genetic Associations and Epidemiology 77
- Genomics and Rare Diseases 13
- Genetic and phenotypic traits in livestock 10
- Genetic Mapping and Diversity in Plants and Animals 8
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- Epigenetics and DNA Methylation 13
- RNA modifications and cancer 11
- Bioinformatics and Genomic Networks 9
- RNA Research and Splicing 7
- Co-authors
- Burkert Mathias Pieske (4 shared papers)Wolfgang Schillinger (4 shared papers)Gerd P Hasenfuss (4 shared papers)Stephan E. Lehnart (2 shared papers)Lars Siegfried Maier (2 shared papers)Kazutomo Minami (1 shared paper)Hanjörg Just (1 shared paper)Jürgen Prestle (1 shared paper)
- Journals
- Nature Genetics (24 papers)Nature Communications (15 papers)Nature (14 papers)The American Journal of Human Genetics (9 papers)Cell Genomics (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael H Preuss
132 papers receiving 23.0k citations
Michael H Preuss's Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 10.0k
- Nephrology 869
- Cancer Research 1.4k
- Molecular Biology 6.6k
- Cardiology and Cardiovascular Medicine 1.9k
Countries citing papers authored by Michael H Preuss
This map shows the geographic impact of Michael H Preuss'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 Michael H Preuss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H Preuss more than expected).
Fields of papers citing papers by Michael H Preuss
This network shows the impact of papers produced by Michael H Preuss. 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 Michael H Preuss. The network helps show where Michael H Preuss may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael H Preuss, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2419 |
| 2 | Hundreds of variants clustered in genomic loci and biological pathways affect human height Hit paper breakdown → | 2010 | 1546 |
| 3 | Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease Hit paper breakdown → | 2011 | 1541 |
| 4 | Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program Hit paper breakdown → | 2021 | 1281 |
| 5 | Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps Hit paper breakdown → | 2018 | 1275 |
| 6 | Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants Hit paper breakdown → | 2009 | 914 |
| 7 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 761 |
| 8 | Genetic analyses of diverse populations improves discovery for complex traits Hit paper breakdown → | 2019 | 681 |
| 9 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 10 | A catalog of genetic loci associated with kidney function from analyses of a million individuals Hit paper breakdown → | 2019 | 605 |
| 11 | The power of genetic diversity in genome-wide association studies of lipids Hit paper breakdown → | 2021 | 583 |
| 12 | Inherited causes of clonal haematopoiesis in 97,691 whole genomes Hit paper breakdown → | 2020 | 544 |
| 13 | Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture Hit paper breakdown → | 2013 | 512 |
| 14 | The trans-ancestral genomic architecture of glycemic traits Hit paper breakdown → | 2021 | 490 |
| 15 | A saturated map of common genetic variants associated with human height Hit paper breakdown → | 2022 | 456 |
| 16 | The Polygenic and Monogenic Basis of Blood Traits and Diseases Hit paper breakdown → | 2020 | 447 |
| 17 | Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function Hit paper breakdown → | 2016 | 426 |
| 18 | Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations Hit paper breakdown → | 2020 | 419 |
| 19 | 2009 | 383 | |
| 20 | 1999 | 360 |
About Michael H Preuss
Michael H Preuss is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Hematology, having authored 138 papers that have together received 23.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (77 papers), Genomics and Rare Diseases (13 papers), Epigenetics and DNA Methylation (13 papers), RNA modifications and cancer (11 papers), Genetic and phenotypic traits in livestock (10 papers), Bioinformatics and Genomic Networks (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Genetics (10.0k citations), Nephrology (869 citations), Cancer Research (1.4k citations), Molecular Biology (6.6k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Michael H Preuss has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Burkert Mathias Pieske, Wolfgang Schillinger, Gerd P Hasenfuss, Stephan E. Lehnart, Lars Siegfried Maier, Kazutomo Minami, Hanjörg Just, Jürgen Prestle, Markus Meyer and Hanjörg Just. Their work appears in journals such as Nature Genetics, Nature Communications, Nature, The American Journal of Human Genetics and Cell Genomics.
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.