Eric Rappaport
Impact in
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- Neuroblastoma Research and Treatments
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- Microtubule and mitosis dynamics
Papers in
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- RNA Research and Splicing 1
- Gene expression and cancer classification 1
- Protein Degradation and Inhibitors 1
- Mitochondrial Function and Pathology 1
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- Neuroblastoma Research and Treatments 3
- Co-authors
- John M. Maris (3 shared papers)Barbara L. Weber (1 shared paper)Richard Wooster (1 shared paper)Andrew Wood (1 shared paper)Patrick A. Mayes (2 shared papers)Naomi Balamuth (1 shared paper)Zhongxue Chen (1 shared paper)Donna M. McDonald‐McGinn (1 shared paper)
- Journals
- Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)American Journal of Medical Genetics Part A (1 paper)Collection of Biostatistics Research Archive (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Eric Rappaport
4 papers receiving 81 citations
Peers
Comparison fields: 5 of 28
- Neurology 32
- Cell Biology 20
- Cancer Research 16
- Molecular Biology 53
- Genetics 18
Countries citing papers authored by Eric Rappaport
This map shows the geographic impact of Eric Rappaport'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 Rappaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rappaport more than expected).
Fields of papers citing papers by Eric Rappaport
This network shows the impact of papers produced by Eric Rappaport. 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 Rappaport. The network helps show where Eric Rappaport may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rappaport, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 42 | |
| 2 | 2009 | 28 | |
| 3 | 2011 | 11 | |
| 4 | 2010 | 1 | |
| 5 | Incorporation of Genetic Pathway Information into Analysis of Multivariate Gene Expression Data | 2008 | 0 |
About Eric Rappaport
Eric Rappaport is a scholar working on Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine, Genetics and Plant Science, having authored 5 papers that have together received 82 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (3 papers), RNA Research and Splicing (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Gene expression and cancer classification (1 paper), Protein Degradation and Inhibitors (1 paper), Mitochondrial Function and Pathology (1 paper), Chromosomal and Genetic Variations (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Neurology (32 citations), Cell Biology (20 citations), Cancer Research (16 citations), Molecular Biology (53 citations) and Genetics (18 citations). Eric Rappaport has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include John M. Maris, Barbara L. Weber, Richard Wooster, Andrew Wood, Patrick A. Mayes, Naomi Balamuth, Zhongxue Chen, Donna M. McDonald‐McGinn, Jayanti Jagannathan and Chad Haldeman‐Englert. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, American Journal of Medical Genetics Part A and Collection of Biostatistics Research Archive.
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.