Dafna Bar‐Sagi
- Cell Biology top 0.05%
- Cellular transport and secretion 26
- Oncology top 0.1%
- Pancreatic and Hepatic Oncology Research 27
- Cancer-related Molecular Pathways 20
- Cancer Immunotherapy and Biomarkers 16
- Molecular Biology top 0.05%
- Protein Kinase Regulation and GTPase Signaling 75
- Cell death mechanisms and regulation 18
- PI3K/AKT/mTOR signaling in cancer 17
- Melanoma and MAPK Pathways 13
- Cancer Research top 0.2%
- Immunology top 0.2%
- Co-authors
- Elda GrabockaJames R. FeramiscoJoseph SchlessingerYuliya Pylayeva‐GuptaAnjaruwee S. NimnualLaura TaylorJohn KuriyanAnke Sparmann
- Journals
- Cell (11 papers)Proceedings of the National Academy of Sciences (11 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Dafna Bar‐Sagi
184 papers receiving 30.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cell Biology 5.6k
- Oncology 9.1k
- Molecular Biology 22.1k
- Cancer Research 3.9k
- Immunology 4.7k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | Exercise-induced engagement of the IL-15/IL-15Rα axis promotes anti-tumor immunity in pancreatic cancerbreakdown → | 2022 | 146 |
| 3 | 2020 | 250 | |
| 4 | 2020 | 116 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 24 | |
| 7 | 2017 | 114 | |
| 8 | Human Pancreatic Cancer Tumors Are Nutrient Poor and Tumor Cells Actively Scavenge Extracellular Proteinbreakdown → | 2015 | 644 |
| 9 | 2015 | 260 | |
| 10 | 2015 | 11 | |
| 11 | 2013 | 41 | |
| 12 | 2012 | 116 | |
| 13 | 2012 | 231 | |
| 14 | 2006 | 116 | |
| 15 | 2005 | 52 | |
| 16 | 2004 | 240 | |
| 17 | 2002 | 42 | |
| 18 | 2002 | 418 | |
| 19 | 2001 | 66 | |
| 20 | 1990 | 5 |
About Dafna Bar‐Sagi
Dafna Bar‐Sagi is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 185 papers that have together received 30.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (75 papers), Pancreatic and Hepatic Oncology Research (27 papers), Cellular transport and secretion (26 papers), Cancer-related Molecular Pathways (20 papers), Cell death mechanisms and regulation (18 papers), PI3K/AKT/mTOR signaling in cancer (17 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Melanoma and MAPK Pathways (13 papers). The work is most often cited by research in Cell Biology (5.6k citations), Oncology (9.1k citations) and Molecular Biology (22.1k citations). Dafna Bar‐Sagi has collaborated with scholars based in United States, Canada 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 Cell, Proceedings of the National Academy of Sciences, 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.