Patricia Greninger
- Molecular Biology top 2%
- Oncology top 2%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 1%
- Computational Theory and Mathematics top 1%
- Co-authors
- Cyril H. BenesUltan McDermottDaniel A. HaberMathew J. GarnettElena J. EdelmanJorge SoaresP. Andrew FutrealSimon Forbes
- Topics
- Protein Degradation and Inhibitors (7 papers)Neuroblastoma Research and Treatments (6 papers)Lung Cancer Treatments and Mutations (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Patricia Greninger
32 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 3.7k
- Oncology 1.6k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 1.4k
- Computational Theory and Mathematics 529
Countries citing papers authored by Patricia Greninger
This map shows the geographic impact of Patricia Greninger'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 Patricia Greninger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Greninger more than expected).
Fields of papers citing papers by Patricia Greninger
This network shows the impact of papers produced by Patricia Greninger. 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 Patricia Greninger. The network helps show where Patricia Greninger may publish in the future.
Co-authorship network of co-authors of Patricia Greninger
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Greninger. A scholar is included among the top collaborators of Patricia Greninger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Greninger. Patricia Greninger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 55 | |
| 5 | 36 | |
| 6 | 93 | |
| 7 | 41 | |
| 8 | 104 | |
| 9 | 23 | |
| 10 | 22 | |
| 11 | 55 | |
| 12 | Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibitionbreakdown → | 457 |
| 13 | 35 | |
| 14 | 54 | |
| 15 | Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cellsbreakdown → | 2597 |
| 16 | 222 | |
| 17 | 83 | |
| 18 | 60 | |
| 19 | A Gene Expression Signature Associated with “K-Ras Addiction” Reveals Regulators of EMT and Tumor Cell Survivalbreakdown → | 630 |
| 20 | 312 |
About Patricia Greninger
Patricia Greninger is a scholar working on Oncology, Cancer Research and Neurology, having authored 33 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Neuroblastoma Research and Treatments (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.6k citations) and Molecular Biology (3.7k citations). Patricia Greninger has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Cyril H. Benes, Ultan McDermott, Daniel A. Haber, Mathew J. Garnett, Elena J. Edelman, Jorge Soares, P. Andrew Futreal, Simon Forbes, Sridhar Ramaswamy and Nidhi Bindal. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.