Laura M. Sack
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
-
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
Papers in
-
- Gene expression and cancer classification 1
- FOXO transcription factor regulation 1
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Virus-based gene therapy research 1
- Genomics and Rare Diseases 1
- Co-authors
- Stephen J. Elledge (7 shared papers)Teresa Davoli (3 shared papers)John C. Yoon (2 shared papers)Kristen E. Mengwasser (1 shared paper)Andrew Wei Xu (1 shared paper)Peter J. Park (1 shared paper)Qikai Xu (3 shared papers)Mamie Z. Li (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell (2 papers)Genetics in Medicine (2 papers)G3 Genes Genomes Genetics (1 paper)Clinical Chemistry (1 paper)
- Partner nations
- United StatesHungaryChina
In The Last Decade
Laura M. Sack
9 papers receiving 922 citations
Laura M. Sack's Hit Papers
Peers
Comparison fields: 5 of 70
- Cancer Research 294
- Molecular Biology 590
- Cell Biology 140
- Genetics 178
- Oncology 138
Countries citing papers authored by Laura M. Sack
This map shows the geographic impact of Laura M. Sack'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 Laura M. Sack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura M. Sack more than expected).
Fields of papers citing papers by Laura M. Sack
This network shows the impact of papers produced by Laura M. Sack. 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 Laura M. Sack. The network helps show where Laura M. Sack may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura M. Sack, 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 | Cumulative Haploinsufficiency and Triplosensitivity Drive Aneuploidy Patterns and Shape the Cancer Genome Hit paper breakdown → | 2013 | 572 |
| 2 | 2018 | 137 | |
| 3 | 2019 | 92 | |
| 4 | 2016 | 52 | |
| 5 | 2014 | 30 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Laura M. Sack
Laura M. Sack is a scholar working on Molecular Biology, Genetics, Physiology, Aging and Cancer Research, having authored 10 papers that have together received 931 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Virus-based gene therapy research (1 paper), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Cancer Research (294 citations), Molecular Biology (590 citations), Cell Biology (140 citations), Genetics (178 citations) and Oncology (138 citations). Laura M. Sack has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Stephen J. Elledge, Teresa Davoli, John C. Yoon, Kristen E. Mengwasser, Andrew Wei Xu, Peter J. Park, Qikai Xu, Mamie Z. Li, Yumei Leng and Kwok‐Kin Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Genetics in Medicine, G3 Genes Genomes Genetics and Clinical Chemistry.
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.