Abigail Altabef
Impact in
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- Cancer-related Molecular Pathways
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- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Protein Degradation and Inhibitors 2
- Kruppel-like factors research 1
- Ubiquitin and proteasome pathways 1
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Kwok‐Kin Wong (6 shared papers)Camilla L. Christensen (3 shared papers)Tinghu Zhang (2 shared papers)Antonio R. Pérez‐Atayde (2 shared papers)Caleb M. Yeung (2 shared papers)Guo‐Cheng Yuan (2 shared papers)Clark M. Hatheway (2 shared papers)Eugenio Marco (2 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Cancer Research (1 paper)Molecular Cancer Therapeutics (1 paper)Cell (1 paper)UNC Libraries (1 paper)
- Partner nations
- United StatesBelgiumSpain
In The Last Decade
Abigail Altabef
6 papers receiving 566 citations
Abigail Altabef's Hit Papers
Peers
Comparison fields: 5 of 43
- Oncology 172
- Molecular Biology 415
- Neurology 74
- Cancer Research 65
- Pulmonary and Respiratory Medicine 91
Countries citing papers authored by Abigail Altabef
This map shows the geographic impact of Abigail Altabef'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 Abigail Altabef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abigail Altabef more than expected).
Fields of papers citing papers by Abigail Altabef
This network shows the impact of papers produced by Abigail Altabef. 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 Abigail Altabef. The network helps show where Abigail Altabef may publish in the future.
Co-authors
The 25 scholars most cited alongside Abigail Altabef, 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 | CDK7 Inhibition Suppresses Super-Enhancer-Linked Oncogenic Transcription in MYCN-Driven Cancer Hit paper breakdown → | 2014 | 466 |
| 2 | 2013 | 51 | |
| 3 | 2014 | 30 | |
| 4 | 2013 | 22 | |
| 5 | 2020 | 3 | |
| 6 | CDK7 Inhibition Suppresses Super-Enhancer-Linked Oncogenic Transcription in MYCN-Driven Cancer | 2014 | 1 |
About Abigail Altabef
Abigail Altabef is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Neurology and Infectious Diseases, having authored 6 papers that have together received 573 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (2 papers), Protein Degradation and Inhibitors (2 papers), Lung Cancer Treatments and Mutations (2 papers), Neuroblastoma Research and Treatments (2 papers), Kruppel-like factors research (1 paper), Cancer-related Molecular Pathways (1 paper), Ubiquitin and proteasome pathways (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (172 citations), Molecular Biology (415 citations), Neurology (74 citations), Cancer Research (65 citations) and Pulmonary and Respiratory Medicine (91 citations). Abigail Altabef has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Kwok‐Kin Wong, Camilla L. Christensen, Tinghu Zhang, Antonio R. Pérez‐Atayde, Caleb M. Yeung, Guo‐Cheng Yuan, Clark M. Hatheway, Eugenio Marco, Bandana Sharma and Brian J. Abraham. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular Cancer Therapeutics, Cell and UNC Libraries.
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.