Dafna Bar‐Sagi
Impact in
- Oncology top 0.05%
- Cancer-related Molecular Pathways
- Pancreatic and Hepatic Oncology Research
- Cell Biology top 0.05%
- Cellular transport and secretion
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 75
- PI3K/AKT/mTOR signaling in cancer 17
- Cell death mechanisms and regulation 17
- Melanoma and MAPK Pathways 13
- Oncology 66
- Pancreatic and Hepatic Oncology Research 26
- Cancer-related Molecular Pathways 19
- Cancer Immunotherapy and Biomarkers 15
- Co-authors
- Elda Grabocka (9 shared papers)James R. Feramisco (5 shared papers)Joseph Schlessinger (7 shared papers)Yuliya Pylayeva‐Gupta (7 shared papers)Anjaruwee S. Nimnual (9 shared papers)Laura Taylor (12 shared papers)John Kuriyan (11 shared papers)Anke Sparmann (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Cell (11 papers)Journal of Biological Chemistry (10 papers)Science (8 papers)Nature (8 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Dafna Bar‐Sagi
186 papers receiving 30.4k citations
Dafna Bar‐Sagi's Hit Papers
Peers
Comparison fields: 5 of 149
- Oncology 8.6k
- Cell Biology 5.5k
- Molecular Biology 21.5k
- Cancer Research 3.6k
- Immunology 4.4k
Countries citing papers authored by Dafna Bar‐Sagi
This map shows the geographic impact of Dafna Bar‐Sagi'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 Dafna Bar‐Sagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dafna Bar‐Sagi more than expected).
Fields of papers citing papers by Dafna Bar‐Sagi
This network shows the impact of papers produced by Dafna Bar‐Sagi. 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 Dafna Bar‐Sagi. The network helps show where Dafna Bar‐Sagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dafna Bar‐Sagi, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Requirement of JNK for Stress- Induced Activation of the Cytochrome c-Mediated Death Pathway Hit paper breakdown → | 2000 | 1509 |
| 2 | The SH2 and SH3 domain-containing protein GRB2 links receptor tyrosine kinases to ras signaling Hit paper breakdown → | 1992 | 1397 |
| 3 | RAS oncogenes: weaving a tumorigenic web Hit paper breakdown → | 2011 | 1347 |
| 4 | Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells Hit paper breakdown → | 2013 | 1275 |
| 5 | Overexpression of mouse D-type cyclins accelerates G1 phase in rodent fibroblasts. Hit paper breakdown → | 1993 | 946 |
| 6 | Guanine-nucleotide-releasing factor hSos1 binds to Grb2 and links receptor tyrosine kinases to Ras signalling Hit paper breakdown → | 1993 | 850 |
| 7 | Nucleolar Arf sequesters Mdm2 and activates p53 Hit paper breakdown → | 1999 | 774 |
| 8 | A Lipid-Anchored Grb2-Binding Protein That Links FGF-Receptor Activation to the Ras/MAPK Signaling Pathway Hit paper breakdown → | 1997 | 736 |
| 9 | Human Sos1: a Guanine Nucleotide Exchange Factor for Ras that Binds to GRB2 Hit paper breakdown → | 1993 | 700 |
| 10 | Ras and Rho GTPases Hit paper breakdown → | 2000 | 679 |
| 11 | Ras-induced interleukin-8 expression plays a critical role in tumor growth and angiogenesis Hit paper breakdown → | 2004 | 667 |
| 12 | Human Pancreatic Cancer Tumors Are Nutrient Poor and Tumor Cells Actively Scavenge Extracellular Protein Hit paper breakdown → | 2015 | 659 |
| 13 | The structural basis of the activation of Ras by Sos Hit paper breakdown → | 1998 | 651 |
| 14 | Microinjection of the ras oncogene protein into PC12 cells induces morphological differentiation Hit paper breakdown → | 1985 | 651 |
| 15 | Induction of Membrane Ruffling and Fluid-Phase Pinocytosis in Quiescent Fibroblasts by ras Proteins Hit paper breakdown → | 1986 | 628 |
| 16 | Phospholipase D2, a distinct phospholipase D isoform with novel regulatory properties that provokes cytoskeletal reorganization Hit paper breakdown → | 1997 | 609 |
| 17 | Oncogenic Kras-Induced GM-CSF Production Promotes the Development of Pancreatic Neoplasia Hit paper breakdown → | 2012 | 541 |
| 18 | Grb2 mediates the EGF-dependent activation of guanine nucleotide exchange on Ras Hit paper breakdown → | 1993 | 509 |
| 19 | EMT Subtype Influences Epithelial Plasticity and Mode of Cell Migration Hit paper breakdown → | 2018 | 484 |
| 20 | 2003 | 444 |
About Dafna Bar‐Sagi
Dafna Bar‐Sagi is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Surgery, having authored 186 papers that have together received 31.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (75 papers), Cellular transport and secretion (27 papers), Pancreatic and Hepatic Oncology Research (26 papers), Cancer-related Molecular Pathways (19 papers), PI3K/AKT/mTOR signaling in cancer (17 papers), Cell death mechanisms and regulation (17 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Melanoma and MAPK Pathways (13 papers). The work is most often cited by research in Oncology (8.6k citations), Cell Biology (5.5k citations), Molecular Biology (21.5k citations), Cancer Research (3.6k citations) and Immunology (4.4k citations). Dafna Bar‐Sagi has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Elda Grabocka, James R. Feramisco, Joseph Schlessinger, Yuliya Pylayeva‐Gupta, Anjaruwee S. Nimnual, Laura Taylor, John Kuriyan, Anke Sparmann, Alan Hall and Andreas Batzer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Journal of Biological Chemistry, Science and Nature.
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.