Barbara Tabak
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 1
- Oncology 2
- Viral-associated cancers and disorders 2
- Co-authors
- Manuel Garber (6 shared papers)Nicola A. Kearns (1 shared paper)Ryan M. Genga (1 shared paper)Hannah Pham (1 shared paper)René Maehr (1 shared paper)Noah J. Silverstein (1 shared paper)Matthew Meyerson (2 shared papers)Cheng‐Zhong Zhang (1 shared paper)
- Journals
- Journal of Virology (2 papers)Bioinformatics (1 paper)Cell Systems (1 paper)Nature Genetics (1 paper)Mathematische Annalen (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Barbara Tabak
10 papers receiving 2.6k citations
Barbara Tabak's Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 695
- Aging 58
- Molecular Biology 1.8k
- Business and International Management 52
- Virology 93
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 | 1293 |
| 2 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus Hit paper breakdown → | 2018 | 595 |
| 3 | Functional annotation of native enhancers with a Cas9–histone demethylase fusion Hit paper breakdown → | 2015 | 533 |
| 4 | 2014 | 110 | |
| 5 | 2016 | 23 | |
| 6 | 2014 | 20 | |
| 7 | 2018 | 14 | |
| 8 | 2022 | 4 | |
| 9 | 1985 | 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, Oncology, Genetics, Pathology and Forensic Medicine and Virology, having authored 10 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Viral-associated cancers and disorders (2 papers), Point processes and geometric inequalities (1 paper), Risk and Safety Analysis (1 paper), Cancer Genomics and Diagnostics (1 paper), Analytic and geometric function theory (1 paper), BRCA gene mutations in cancer (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cancer Research (695 citations), Aging (58 citations), Molecular Biology (1.8k citations), Business and International Management (52 citations) and Virology (93 citations). Barbara Tabak has collaborated with scholars based in United States, India and France. Frequent co-authors include Manuel Garber, Nicola A. Kearns, Ryan M. Genga, Hannah Pham, René Maehr, Noah J. Silverstein, Matthew Meyerson, Cheng‐Zhong Zhang, Gordon Saksena and Stacey Gabriel. Their work appears in journals such as Journal of Virology, Bioinformatics, Cell Systems, Nature Genetics 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.