Don Berry
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Optimal Experimental Design Methods
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 4
- PARP inhibition in cancer therapy 3
- Cancer Treatment and Pharmacology 1
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Michael Krams (3 shared papers)Peter Müller (2 shared papers)Andrew P. Grieve (2 shared papers)Michael K. Smith (1 shared paper)José Paulo Pinheiro (1 shared paper)Alun Bedding (1 shared paper)Larry Norton (2 shared papers)Smita Asare (4 shared papers)
- Journals
- Cancer Research (5 papers)European Journal of Cancer (2 papers)Blood (1 paper)Journal of Clinical Oncology (1 paper)Investigational New Drugs (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Don Berry
15 papers receiving 185 citations
Peers
Comparison fields: 5 of 57
- Statistics and Probability 78
- Management Science and Operations Research 64
- Statistics, Probability and Uncertainty 28
- Cancer Research 32
- Oncology 55
Countries citing papers authored by Don Berry
This map shows the geographic impact of Don Berry'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 Don Berry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Berry more than expected).
Fields of papers citing papers by Don Berry
This network shows the impact of papers produced by Don Berry. 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 Don Berry. The network helps show where Don Berry may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Berry, 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 | 2007 | 49 | |
| 2 | 2006 | 34 | |
| 3 | 2006 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2003 | 12 | |
| 6 | 2019 | 10 | |
| 7 | 2008 | 9 | |
| 8 | 2019 | 7 | |
| 9 | 2014 | 7 | |
| 10 | 2005 | 5 | |
| 11 | 2017 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2016 | 2 | |
| 14 | DNA repair deficiency biomarkers and identification of ER-positive breast cancer patients who may benefit from veliparib/carboplatin: Results from the I-SPY 2 trial. | 2015 | 1 |
| 15 | 2012 | 1 |
About Don Berry
Don Berry is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Statistics and Probability, having authored 15 papers that have together received 194 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), PARP inhibition in cancer therapy (3 papers), Statistical Methods in Clinical Trials (3 papers), DNA Repair Mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Optimal Experimental Design Methods (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Statistics and Probability (78 citations), Management Science and Operations Research (64 citations), Statistics, Probability and Uncertainty (28 citations), Cancer Research (32 citations) and Oncology (55 citations). Don Berry has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael Krams, Peter Müller, Andrew P. Grieve, Michael K. Smith, José Paulo Pinheiro, Alun Bedding, Larry Norton, Smita Asare, Laura van ‘t Veer and Lamorna Brown Swigart. Their work appears in journals such as Cancer Research, European Journal of Cancer, Blood, Journal of Clinical Oncology and Investigational New Drugs.
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.