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
- Metabolism, Diabetes, and Cancer 2
- Genetics 8
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Hunter B. Fraser (4 shared papers)Andrew Kasarskis (4 shared papers)Alan M Moses (2 shared papers)Chen-Shan Chin (1 shared paper)Catherine C. Smith (2 shared papers)Sara Salerno (2 shared papers)Patrick P. Zarrinkar (1 shared paper)Kevin Travers (2 shared papers)
- Journals
- Cell Metabolism (2 papers)Proceedings of the National Academy of Sciences (2 papers)Pharmacogenomics (1 paper)Clinical Pharmacology & Therapeutics (1 paper)BMC Cancer (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Eric E. Schadt
21 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 452
- Genetics 197
- Molecular Biology 918
- Hepatology 83
- Cancer Research 135
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 | 542 |
| 2 | 2001 | 268 | |
| 3 | 2010 | 117 | |
| 4 | 2011 | 94 | |
| 5 | 2011 | 83 | |
| 6 | 2009 | 58 | |
| 7 | 2011 | 58 | |
| 8 | 2011 | 55 | |
| 9 | 2010 | 54 | |
| 10 | 2010 | 48 | |
| 11 | 2010 | 47 | |
| 12 | 2011 | 25 | |
| 13 | 2010 | 23 | |
| 14 | 2019 | 20 | |
| 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 Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic and phenotypic traits in livestock (3 papers), Adipose Tissue and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Computational Drug Discovery Methods (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (452 citations), Genetics (197 citations), Molecular Biology (918 citations), Hepatology (83 citations) and Cancer Research (135 citations). Eric E. Schadt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Hunter B. Fraser, Andrew Kasarskis, Alan M Moses, Chen-Shan Chin, Catherine C. Smith, Sara Salerno, Patrick P. Zarrinkar, Kevin Travers, Qi Wang and Susana Wang. Their work appears in journals such as Cell Metabolism, Proceedings of the National Academy of Sciences, Pharmacogenomics, Clinical Pharmacology & Therapeutics and BMC Cancer.
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.