A Stone
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Colorectal Cancer Treatments and Studies
- PARP inhibition in cancer therapy
Papers in
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- Statistical Methods in Clinical Trials 5
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- Acute Myeloid Leukemia Research 1
- Co-authors
- Ohad Amit (2 shared papers)Jeffrey D. Helterbrand (2 shared papers)Jonathan S. Denne (2 shared papers)Hans-Ulrich Burger (1 shared paper)Frank Mannino (1 shared paper)Renee Bailey Iacona (2 shared papers)C. Tyrrell (1 shared paper)J. Ramon (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)British Journal of Clinical Pharmacology (1 paper)Annals of Oncology (1 paper)British Journal of Cancer (1 paper)Pharmaceutical Statistics (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
A Stone
11 papers receiving 306 citations
Peers
Comparison fields: 5 of 38
- Statistics and Probability 115
- Oncology 63
- Pulmonary and Respiratory Medicine 81
- Statistics, Probability and Uncertainty 22
- Hematology 26
Countries citing papers authored by A Stone
This map shows the geographic impact of A Stone'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 A Stone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Stone more than expected).
Fields of papers citing papers by A Stone
This network shows the impact of papers produced by A Stone. 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 A Stone. The network helps show where A Stone may publish in the future.
Co-authors
The 25 scholars most cited alongside A Stone, 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 | 2011 | 94 | |
| 2 | 2001 | 62 | |
| 3 | 2011 | 47 | |
| 4 | 2013 | 39 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 20 | |
| 7 | 2013 | 12 | |
| 8 | 2012 | 10 | |
| 9 | 2000 | 8 | |
| 10 | 2008 | 3 | |
| 11 | 2023 | 3 |
About A Stone
A Stone is a scholar working on Statistics and Probability, Hematology, Oncology, Physiology and Genetics, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Estrogen and related hormone effects (1 paper), Acute Myeloid Leukemia Research (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Pain Mechanisms and Treatments (1 paper), Prostate Cancer Treatment and Research (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Statistics and Probability (115 citations), Oncology (63 citations), Pulmonary and Respiratory Medicine (81 citations), Statistics, Probability and Uncertainty (22 citations) and Hematology (26 citations). A Stone has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ohad Amit, Jeffrey D. Helterbrand, Jonathan S. Denne, Hans-Ulrich Burger, Frank Mannino, Renee Bailey Iacona, C. Tyrrell, J. Ramon, Francisco Pina and Manuel Sánchez‐Chapado. Their work appears in journals such as European Journal of Cancer, British Journal of Clinical Pharmacology, Annals of Oncology, British Journal of Cancer and Pharmaceutical Statistics.
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.