Susan E. Scanlon
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Cancer, Hypoxia, and Metabolism 2
- Cancer Genomics and Diagnostics 1
- Carcinogens and Genotoxicity Assessment 1
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- DNA Repair Mechanisms 6
- Mitochondrial Function and Pathology 4
- RNA modifications and cancer 1
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Peter M. Glazer (8 shared papers)Parker L. Sulkowski (3 shared papers)Denise Campisi Hegan (3 shared papers)Eric J. Song (1 shared paper)Elias Quijano (1 shared paper)Danith H. Ly (1 shared paper)Yanfeng Liu (1 shared paper)W. Mark Saltzman (1 shared paper)
- Journals
- Molecular Cancer Research (2 papers)Molecular Therapy — Nucleic Acids (1 paper)Oncotarget (1 paper)Science Translational Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Susan E. Scanlon
10 papers receiving 827 citations
Susan E. Scanlon's Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 205
- Cancer Research 262
- Oncology 217
- Molecular Biology 494
- Structural Biology 7
Countries citing papers authored by Susan E. Scanlon
This map shows the geographic impact of Susan E. Scanlon'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 Susan E. Scanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan E. Scanlon more than expected).
Fields of papers citing papers by Susan E. Scanlon
This network shows the impact of papers produced by Susan E. Scanlon. 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 Susan E. Scanlon. The network helps show where Susan E. Scanlon may publish in the future.
Co-authors
The 17 scholars most cited alongside Susan E. Scanlon, 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 | 2-Hydroxyglutarate produced by neomorphic IDH mutations suppresses homologous recombination and induces PARP inhibitor sensitivity Hit paper breakdown → | 2017 | 472 |
| 2 | 2015 | 122 | |
| 3 | 2017 | 67 | |
| 4 | 2017 | 51 | |
| 5 | 2014 | 34 | |
| 6 | 2017 | 26 | |
| 7 | 2013 | 22 | |
| 8 | 2018 | 21 | |
| 9 | Hypoxia and DNA repair. | 2013 | 20 |
| 10 | 2013 | 3 |
About Susan E. Scanlon
Susan E. Scanlon is a scholar working on Cancer Research, Molecular Biology, Small Animals, Genetics and Nutrition and Dietetics, having authored 10 papers that have together received 838 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Mitochondrial Function and Pathology (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Genomics and Diagnostics (1 paper), RNA modifications and cancer (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Trace Elements in Health (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Genetics (205 citations), Cancer Research (262 citations), Oncology (217 citations), Molecular Biology (494 citations) and Structural Biology (7 citations). Susan E. Scanlon has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Peter M. Glazer, Parker L. Sulkowski, Denise Campisi Hegan, Eric J. Song, Elias Quijano, Danith H. Ly, Yanfeng Liu, W. Mark Saltzman, Anisha Gupta and Raman Bahal. Their work appears in journals such as Molecular Cancer Research, Molecular Therapy — Nucleic Acids, Oncotarget, Science Translational Medicine 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.