Eric E. Schadt
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Metabolism, Diabetes, and Cancer 2
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Hunter B. Fraser (4 shared papers)Andrew Kasarskis (4 shared papers)Alan M Moses (2 shared papers)Susana Wang (2 shared papers)Sara Salerno (2 shared papers)Jeremy P. Hunt (2 shared papers)Kevin Travers (2 shared papers)Neil P. Shah (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell Metabolism (2 papers)Genes and Immunity (1 paper)Journal of Lipid Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Eric E. Schadt
21 papers receiving 1.5k citations
Eric E. Schadt's Hit Papers
Peers
Comparison fields: 5 of 116
- Hematology 441
- Genetics 177
- Molecular Biology 856
- Cancer Research 126
- Genetics 228
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Validation of ITD mutations in FLT3 as a therapeutic target in human acute myeloid leukaemia Hit paper breakdown → | 2012 | 546 |
| 2 | 2001 | 268 | |
| 3 | 2010 | 120 | |
| 4 | 2011 | 96 | |
| 5 | 2011 | 83 | |
| 6 | 2011 | 59 | |
| 7 | 2009 | 58 | |
| 8 | 2011 | 55 | |
| 9 | 2010 | 54 | |
| 10 | 2010 | 48 | |
| 11 | 2010 | 47 | |
| 12 | 2011 | 25 | |
| 13 | 2010 | 23 | |
| 14 | 2019 | 21 | |
| 15 | 2011 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2009 | 13 | |
| 18 | 2012 | 10 | |
| 19 | 2011 | 8 | |
| 20 | 2011 | 4 |
About Eric E. Schadt
Eric E. Schadt is a scholar working on Molecular Biology, Genetics, Epidemiology, Physiology and Computational Theory and Mathematics, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Adipose Tissue and Metabolism (3 papers), Gene expression and cancer classification (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Computational Drug Discovery Methods (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Hematology (441 citations), Genetics (177 citations), Molecular Biology (856 citations), Cancer Research (126 citations) and Genetics (228 citations). Eric E. Schadt has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Hunter B. Fraser, Andrew Kasarskis, Alan M Moses, Susana Wang, Sara Salerno, Jeremy P. Hunt, Kevin Travers, Neil P. Shah, John Kuriyan and Mark J. Levis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Metabolism, Genes and Immunity, Journal of Lipid Research 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.