Barbara Tabak
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Aging top 5%
Papers in
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- Genomics and Chromatin Dynamics 3
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- Lymphoma Diagnosis and Treatment 2
- Genetic factors in colorectal cancer 1
- Co-authors
- Manuel Garber (6 shared papers)Noah J. Silverstein (1 shared paper)René Maehr (1 shared paper)Hannah Pham (1 shared paper)Nicola A. Kearns (1 shared paper)Ryan M. Genga (1 shared paper)Steven E. Schumacher (2 shared papers)Craig H. Mermel (1 shared paper)
- Journals
- Journal of Virology (2 papers)Nature Methods (1 paper)Nature Genetics (1 paper)Bioinformatics (1 paper)Mathematische Annalen (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Barbara Tabak
10 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 761
- Aging 56
- Molecular Biology 1.9k
- Business and International Management 49
- Virology 111
Countries citing papers authored by Barbara Tabak
This map shows the geographic impact of Barbara Tabak'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 Barbara Tabak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Tabak more than expected).
Fields of papers citing papers by Barbara Tabak
This network shows the impact of papers produced by Barbara Tabak. 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 Barbara Tabak. The network helps show where Barbara Tabak may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Tabak, 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 | Pan-cancer patterns of somatic copy number alteration Hit paper breakdown → | 2013 | 1243 |
| 2 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus Hit paper breakdown → | 2018 | 568 |
| 3 | Functional annotation of native enhancers with a Cas9–histone demethylase fusion Hit paper breakdown → | 2015 | 504 |
| 4 | 2014 | 105 | |
| 5 | 2016 | 23 | |
| 6 | 2014 | 19 | |
| 7 | 2018 | 14 | |
| 8 | 1985 | 4 | |
| 9 | 2022 | 4 | |
| 10 | Procedures for Validation and Calibration of Human Fatigue Models: The Fatigue Audit InterDyne Tool | 2010 | 2 |
About Barbara Tabak
Barbara Tabak is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Cancer Research, having authored 10 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), interferon and immune responses (1 paper), HIV Research and Treatment (1 paper), Geometric Analysis and Curvature Flows (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (761 citations), Aging (56 citations), Molecular Biology (1.9k citations), Business and International Management (49 citations) and Virology (111 citations). Barbara Tabak has collaborated with scholars based in United States and India. Frequent co-authors include Manuel Garber, Noah J. Silverstein, René Maehr, Hannah Pham, Nicola A. Kearns, Ryan M. Genga, Steven E. Schumacher, Craig H. Mermel, Gordon Saksena and Michael S. Lawrence. Their work appears in journals such as Journal of Virology, Nature Methods, Nature Genetics, Bioinformatics and Mathematische Annalen.
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.