David E. Root
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.05%
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
Papers in
-
- CRISPR and Genetic Engineering 26
- Chromatin Remodeling and Cancer 23
- Melanoma and MAPK Pathways 12
- PI3K/AKT/mTOR signaling in cancer 11
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- Cancer Genomics and Diagnostics 21
- Cancer, Hypoxia, and Metabolism 10
- Co-authors
- John G. Doench (32 shared papers)Benjamin L. Ebert (9 shared papers)Ella Hartenian (4 shared papers)Mudra Hegde (5 shared papers)Meagan E. Sullender (5 shared papers)Ian C. P. Smith (3 shared papers)William C. Hahn (33 shared papers)Zuzana Tóthová (2 shared papers)
- Journals
- Nature Communications (17 papers)Nature (15 papers)Cell (14 papers)Proceedings of the National Academy of Sciences (13 papers)Cell Reports (12 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David E. Root
213 papers receiving 50.1k citations
David E. Root's Hit Papers
Peers
Comparison fields: 5 of 168
- Cancer Research 7.5k
- Molecular Biology 24.2k
- Oncology 6.8k
- Hematology 2.3k
- Genetics 1.4k
Countries citing papers authored by David E. Root
This map shows the geographic impact of David E. Root'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 David E. Root with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Root more than expected).
Fields of papers citing papers by David E. Root
This network shows the impact of papers produced by David E. Root. 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 David E. Root. The network helps show where David E. Root may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Root, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells Hit paper breakdown → | 2013 | 4088 |
| 2 | Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9 Hit paper breakdown → | 2016 | 3285 |
| 3 | Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1 Hit paper breakdown → | 2009 | 2862 |
| 4 | A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles Hit paper breakdown → | 2017 | 2398 |
| 5 | Defining a Cancer Dependency Map Hit paper breakdown → | 2017 | 2212 |
| 6 | lincRNAs act in the circuitry controlling pluripotency and differentiation Hit paper breakdown → | 2011 | 1601 |
| 7 | A Lentiviral RNAi Library for Human and Mouse Genes Applied to an Arrayed Viral High-Content Screen Hit paper breakdown → | 2006 | 1480 |
| 8 | Functional genomics reveal that the serine synthesis pathway is essential in breast cancer Hit paper breakdown → | 2011 | 1405 |
| 9 | Computational correction of copy number effect improves specificity of CRISPR–Cas9 essentiality screens in cancer cells Hit paper breakdown → | 2017 | 1378 |
| 10 | Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation Hit paper breakdown → | 2014 | 1275 |
| 11 | COT drives resistance to RAF inhibition through MAP kinase pathway reactivation Hit paper breakdown → | 2010 | 1232 |
| 12 | In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target Hit paper breakdown → | 2017 | 920 |
| 13 | Acquired Resistance to KRAS G12C Inhibition in Cancer Hit paper breakdown → | 2021 | 914 |
| 14 | The JAK2/STAT3 signaling pathway is required for growth of CD44+CD24– stem cell–like breast cancer cells in human tumors Hit paper breakdown → | 2011 | 799 |
| 15 | Identification of RPS14 as a 5q- syndrome gene by RNA interference screen Hit paper breakdown → | 2008 | 737 |
| 16 | β-Catenin-Driven Cancers Require a YAP1 Transcriptional Complex for Survival and Tumorigenesis Hit paper breakdown → | 2012 | 663 |
| 17 | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities Hit paper breakdown → | 2018 | 661 |
| 18 | KRAS and YAP1 Converge to Regulate EMT and Tumor Survival Hit paper breakdown → | 2014 | 650 |
| 19 | ( R )-2-Hydroxyglutarate Is Sufficient to Promote Leukemogenesis and Its Effects Are Reversible Hit paper breakdown → | 2013 | 616 |
| 20 | Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy Hit paper breakdown → | 2010 | 615 |
About David E. Root
David E. Root is a scholar working on Molecular Biology, Cancer Research, Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 218 papers that have together received 51k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (26 papers), Chromatin Remodeling and Cancer (23 papers), Cancer Genomics and Diagnostics (21 papers), Acute Myeloid Leukemia Research (16 papers), Melanoma and MAPK Pathways (12 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Metal-Catalyzed Oxygenation Mechanisms (11 papers) and Cancer, Hypoxia, and Metabolism (10 papers). The work is most often cited by research in Cancer Research (7.5k citations), Molecular Biology (24.2k citations), Oncology (6.8k citations), Hematology (2.3k citations) and Genetics (1.4k citations). David E. Root has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John G. Doench, Benjamin L. Ebert, Ella Hartenian, Mudra Hegde, Meagan E. Sullender, Ian C. P. Smith, William C. Hahn, Zuzana Tóthová, Tarjei S. Mikkelsen and Ophir Shalem. Their work appears in journals such as Nature Communications, Nature, Cell, Proceedings of the National Academy of Sciences and Cell Reports.
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.