Eric E. Schadt
Impact in
Papers in
-
- Bioinformatics and Genomic Networks 62
- Gene expression and cancer classification 32
- RNA modifications and cancer 14
- Genetics 97
- Genetic Mapping and Diversity in Plants and Animals 43
- Genetic Associations and Epidemiology 42
- Genetic and phenotypic traits in livestock 16
- Co-authors
- Aldons J. Lusis (28 shared papers)Thomas A. Drake (18 shared papers)Jun Zhu (40 shared papers)Claudia Giambartolomei (2 shared papers)Vincent Plagnol (1 shared paper)Aroon D. Hingorani (1 shared paper)Lude Franke (1 shared paper)Damjan Vukcevic (1 shared paper)
- Journals
- PLoS Genetics (16 papers)Nature Communications (12 papers)Genome Research (11 papers)PLoS Computational Biology (9 papers)PLoS ONE (8 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Eric E. Schadt
293 papers receiving 26.9k citations
Eric E. Schadt's Hit Papers
Peers
Comparison fields: 5 of 207
- Aging 706
- Genetics 6.5k
- Biological Psychiatry 469
- Molecular Biology 12.7k
- Immunology 2.8k
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 301 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics Hit paper breakdown → | 2014 | 1926 |
| 2 | Geroscience: Linking Aging to Chronic Disease Hit paper breakdown → | 2014 | 1794 |
| 3 | Gene-microarray analysis of multiple sclerosis lesions yields new targets validated in autoimmune encephalomyelitis Hit paper breakdown → | 2002 | 1357 |
| 4 | Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays Hit paper breakdown → | 2003 | 1116 |
| 5 | Genetics of gene expression surveyed in maize, mouse and man Hit paper breakdown → | 2003 | 1106 |
| 6 | An integrative genomics approach to infer causal associations between gene expression and disease Hit paper breakdown → | 2005 | 741 |
| 7 | Tissue-specific expression and regulation of sexually dimorphic genes in mice Hit paper breakdown → | 2006 | 676 |
| 8 | Molecular networks as sensors and drivers of common human diseases Hit paper breakdown → | 2009 | 544 |
| 9 | The Origin of the Haitian Cholera Outbreak Strain Hit paper breakdown → | 2010 | 526 |
| 10 | CD47-blocking antibodies restore phagocytosis and prevent atherosclerosis Hit paper breakdown → | 2016 | 510 |
| 11 | Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus Hit paper breakdown → | 2018 | 485 |
| 12 | 2005 | 409 | |
| 13 | 2010 | 408 | |
| 14 | variancePartition: interpreting drivers of variation in complex gene expression studies Hit paper breakdown → | 2016 | 401 |
| 15 | 2008 | 391 | |
| 16 | 2006 | 337 | |
| 17 | 2000 | 308 | |
| 18 | 2004 | 290 | |
| 19 | 2004 | 280 | |
| 20 | 2008 | 279 |
About Eric E. Schadt
Eric E. Schadt is a scholar working on Molecular Biology, Genetics, Physiology, Cancer Research and Immunology, having authored 301 papers that have together received 27.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (62 papers), Genetic Mapping and Diversity in Plants and Animals (43 papers), Genetic Associations and Epidemiology (42 papers), Gene expression and cancer classification (32 papers), Adipose Tissue and Metabolism (19 papers), Genetic and phenotypic traits in livestock (16 papers), Cancer Genomics and Diagnostics (14 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Aging (706 citations), Genetics (6.5k citations), Biological Psychiatry (469 citations), Molecular Biology (12.7k citations) and Immunology (2.8k citations). Eric E. Schadt has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Aldons J. Lusis, Thomas A. Drake, Jun Zhu, Claudia Giambartolomei, Vincent Plagnol, Aroon D. Hingorani, Lude Franke, Damjan Vukcevic, Chris Wallace and Gabriel E. Hoffman. Their work appears in journals such as PLoS Genetics, Nature Communications, Genome Research, PLoS Computational Biology and PLoS ONE.
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.