Danielle Murphy
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 6
- Colorectal Cancer Treatments and Studies 2
-
- Renal cell carcinoma treatment 2
- Ferroptosis and cancer prognosis 1
- Co-authors
- Jeff H. Tsai (1 shared paper)Joana Liu Donaher (1 shared paper)Jing Yang (1 shared paper)Ravit Geva (1 shared paper)Kevin Litwiler (1 shared paper)Eric Van Cutsem (3 shared papers)Van K. Morris (1 shared paper)Elena Garralda (1 shared paper)
- Journals
- The Oncologist (2 papers)Journal of Clinical Oncology (2 papers)Future Oncology (1 paper)Trials (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Danielle Murphy
12 papers receiving 957 citations
Danielle Murphy's Hit Papers
Peers
Comparison fields: 5 of 67
- Oncology 634
- Cancer Research 286
- Molecular Biology 524
- Cell Biology 116
- Biotechnology 43
Countries citing papers authored by Danielle Murphy
This map shows the geographic impact of Danielle Murphy'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 Danielle Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Murphy more than expected).
Fields of papers citing papers by Danielle Murphy
This network shows the impact of papers produced by Danielle Murphy. 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 Danielle Murphy. The network helps show where Danielle Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Murphy, 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 | Spatiotemporal Regulation of Epithelial-Mesenchymal Transition Is Essential for Squamous Cell Carcinoma Metastasis Hit paper breakdown → | 2012 | 881 |
| 2 | 2023 | 35 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 13 | |
| 5 | 2024 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2023 | 0 |
About Danielle Murphy
Danielle Murphy is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Epidemiology and Hematology, having authored 13 papers that have together received 970 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Renal cell carcinoma treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Digestive system and related health (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Oncology (634 citations), Cancer Research (286 citations), Molecular Biology (524 citations), Cell Biology (116 citations) and Biotechnology (43 citations). Danielle Murphy has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Jeff H. Tsai, Joana Liu Donaher, Jing Yang, Ravit Geva, Kevin Litwiler, Eric Van Cutsem, Van K. Morris, Elena Garralda, Katia Dotti and Filippo de Braud. Their work appears in journals such as The Oncologist, Journal of Clinical Oncology, Future Oncology, Trials and Cancer Cell.
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.