Jane Staunton
Impact in
- Aging top 1%
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Todd R. GolubEric S. LanderMonique L. den BoerStephen E. SallanMark D. MindenScott A. ArmstrongLewis B. SilvermanStanley J. Korsmeyer
- Journals
- Assay and Drug Development Technologies (2 papers)Journal of Neuroscience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Genetics (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesRussiaNetherlands
In The Last Decade
Jane Staunton
16 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Aging 276
- Hematology 908
- Molecular Biology 3.9k
- Cancer Research 676
- Oncology 843
Countries citing papers authored by Jane Staunton
This map shows the geographic impact of Jane Staunton'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 Jane Staunton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Staunton more than expected).
Fields of papers citing papers by Jane Staunton
This network shows the impact of papers produced by Jane Staunton. 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 Jane Staunton. The network helps show where Jane Staunton may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Staunton, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2010 | 19 | |
| 4 | 2010 | 11 | |
| 5 | Synergistic drug combinations tend to improve therapeutically relevant selectivity Hit paper breakdown → | 2009 | 742 |
| 6 | Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia Hit paper breakdown → | 2002 | 819 |
| 7 | MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia Hit paper breakdown → | 2001 | 1283 |
| 8 | Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses Hit paper breakdown → | 2001 | 1953 |
| 9 | 2001 | 44 | |
| 10 | Chemosensitivity prediction by transcriptional profiling Hit paper breakdown → | 2001 | 532 |
| 11 | 1997 | 129 | |
| 12 | 1997 | 309 | |
| 13 | 1995 | 7 | |
| 14 | 1994 | 17 | |
| 15 | Identification of two distinct microtubule binding domains on recombinant rat MAP 1B. | 1992 | 50 |
| 16 | 1988 | 119 |
About Jane Staunton
Jane Staunton is a scholar working on Aging, Immunology, Cell Biology, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 16 papers that have together received 6.0k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (3 papers), Cystic Fibrosis Research Advances (2 papers), Computational Drug Discovery Methods (2 papers), CAR-T cell therapy research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), DNA Repair Mechanisms (2 papers), Neonatal Respiratory Health Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Aging (276 citations), Hematology (908 citations), Molecular Biology (3.9k citations), Cancer Research (676 citations) and Oncology (843 citations). Jane Staunton has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Todd R. Golub, Eric S. Lander, Monique L. den Boer, Stephen E. Sallan, Mark D. Minden, Eric S. Lander, Scott A. Armstrong, Lewis B. Silverman, Stanley J. Korsmeyer and Rob Pieters. Their work appears in journals such as Assay and Drug Development Technologies, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Nature Genetics 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.