Eric E. Schadt
Impact in
Papers in
- Genetics 159
- Genetic Associations and Epidemiology 102
- Genetic Mapping and Diversity in Plants and Animals 30
- Inflammatory Bowel Disease 22
- Genomics and Rare Diseases 16
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- Bioinformatics and Genomic Networks 57
- Genomics and Phylogenetic Studies 18
- Gene expression and cancer classification 15
- Co-authors
- Claudia Giambartolomei (2 shared papers)Lude Franke (1 shared paper)Damjan Vukcevic (1 shared paper)Christopher Wallace (1 shared paper)Aroon Dinesh Hingorani (1 shared paper)Vincent Plagnol (1 shared paper)Aldons Jake Lusis (26 shared papers)Jun Zhu (36 shared papers)
- Journals
- Nature Communications (24 papers)PLoS Genetics (19 papers)Nature Genetics (15 papers)Cell (13 papers)The American Journal of Human Genetics (12 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Eric E. Schadt
440 papers receiving 63.7k citations
Eric E. Schadt's Hit Papers
Peers
Comparison fields: 5 of 213
- Genetics 20.3k
- Aging 998
- Molecular Biology 18.1k
- Physiology 5.2k
- Cancer Research 2.7k
Countries citing papers authored by Eric E. Schadt
This map shows the geographic impact of Eric E. Schadt'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 Eric E. Schadt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric E. Schadt more than expected).
Fields of papers citing papers by Eric E. Schadt
This network shows the impact of papers produced by Eric E. Schadt. 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 Eric E. Schadt. The network helps show where Eric E. Schadt may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric E. Schadt, 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 442 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease Hit paper breakdown → | 2012 | 3936 |
| 2 | Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics Hit paper breakdown → | 2014 | 2615 |
| 3 | Geroscience: Linking Aging to Chronic Disease Hit paper breakdown → | 2014 | 2043 |
| 4 | An inflammatory cytokine signature predicts COVID-19 severity and survival Hit paper breakdown → | 2020 | 1953 |
| 5 | An integrated map of structural variation in 2,504 human genomes Hit paper breakdown → | 2015 | 1657 |
| 6 | Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease Hit paper breakdown → | 2011 | 1563 |
| 7 | Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis Hit paper breakdown → | 2002 | 1445 |
| 8 | Large-scale association analysis identifies new risk loci for coronary artery disease Hit paper breakdown → | 2012 | 1351 |
| 9 | Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease Hit paper breakdown → | 2013 | 1351 |
| 10 | Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes Hit paper breakdown → | 2018 | 1221 |
| 11 | Genetics of gene expression surveyed in maize, mouse and man Hit paper breakdown → | 2003 | 1191 |
| 12 | Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays Hit paper breakdown → | 2003 | 1120 |
| 13 | Genetics of gene expression and its effect on disease Hit paper breakdown → | 2008 | 1030 |
| 14 | From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus Hit paper breakdown → | 2010 | 894 |
| 15 | The Collaborative Cross, a community resource for the genetic analysis of complex traits Hit paper breakdown → | 2004 | 888 |
| 16 | Gene expression elucidates functional impact of polygenic risk for schizophrenia Hit paper breakdown → | 2016 | 829 |
| 17 | An integrative genomics approach to infer causal associations between gene expression and disease Hit paper breakdown → | 2005 | 826 |
| 18 | Mapping the Genetic Architecture of Gene Expression in Human Liver Hit paper breakdown → | 2008 | 781 |
| 19 | Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap Hit paper breakdown → | 2018 | 776 |
| 20 | Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation Hit paper breakdown → | 2020 | 732 |
About Eric E. Schadt
Eric E. Schadt is a scholar working on Genetics, Molecular Biology, Physiology, Cancer Research and Infectious Diseases, having authored 442 papers that have together received 65.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (102 papers), Bioinformatics and Genomic Networks (57 papers), Alzheimer's disease research and treatments (33 papers), Genetic Mapping and Diversity in Plants and Animals (30 papers), Inflammatory Bowel Disease (22 papers), Genomics and Phylogenetic Studies (18 papers), Genomics and Rare Diseases (16 papers) and Gene expression and cancer classification (15 papers). The work is most often cited by research in Genetics (20.3k citations), Aging (998 citations), Molecular Biology (18.1k citations), Physiology (5.2k citations) and Cancer Research (2.7k citations). Eric E. Schadt has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Claudia Giambartolomei, Lude Franke, Damjan Vukcevic, Christopher Wallace, Aroon Dinesh Hingorani, Vincent Plagnol, Aldons Jake Lusis, Jun Zhu, Gabriel E. Hoffman and Thomas A. Drake. Their work appears in journals such as Nature Communications, PLoS Genetics, Nature Genetics, Cell and The American Journal of Human Genetics.
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.