Amy B. Dailey
Impact in
- Oncology top 5%
- Global Cancer Incidence and Screening
- Cancer survivorship and care
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- Air Quality and Health Impacts
Papers in
- Oncology 12
- Global Cancer Incidence and Screening 7
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- Statistical Methods in Epidemiology 5
- Survey Sampling and Estimation Techniques 4
- Statistical Methods and Bayesian Inference 3
- Advanced Causal Inference Techniques 3
- Co-authors
- Stanislav V. Kasl (6 shared papers)Beth A. Jones (6 shared papers)Xiaohui Xu (4 shared papers)Evelyn O. Talbott (5 shared papers)Theodore R. Holford (3 shared papers)Lisa Calvocoressi (3 shared papers)Babette Brumback (7 shared papers)Gregory Dale Kearney (3 shared papers)
- Journals
- Statistics in Medicine (3 papers)American Journal of Epidemiology (3 papers)Journal of Women s Health (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)American Journal of Public Health (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Amy B. Dailey
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Oncology 385
- Health, Toxicology and Mutagenesis 150
- Health 97
- Statistics and Probability 83
- Library and Information Sciences 17
Countries citing papers authored by Amy B. Dailey
This map shows the geographic impact of Amy B. Dailey'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 Amy B. Dailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy B. Dailey more than expected).
Fields of papers citing papers by Amy B. Dailey
This network shows the impact of papers produced by Amy B. Dailey. 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 Amy B. Dailey. The network helps show where Amy B. Dailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy B. Dailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2005 | 105 | |
| 3 | 2010 | 85 | |
| 4 | 2009 | 77 | |
| 5 | 2007 | 76 | |
| 6 | 2013 | 66 | |
| 7 | 2005 | 65 | |
| 8 | 2009 | 61 | |
| 9 | 2010 | 52 | |
| 10 | 2007 | 44 | |
| 11 | 2011 | 41 | |
| 12 | 2007 | 38 | |
| 13 | 2009 | 34 | |
| 14 | 2015 | 27 | |
| 15 | 2009 | 25 | |
| 16 | 2009 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2015 | 18 |
About Amy B. Dailey
Amy B. Dailey is a scholar working on Oncology, Statistics and Probability, Health, General Health Professions and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (7 papers), Statistical Methods in Epidemiology (5 papers), Survey Sampling and Estimation Techniques (4 papers), Health disparities and outcomes (4 papers), Statistical Methods and Bayesian Inference (3 papers), Food Security and Health in Diverse Populations (3 papers), Women's cancer prevention and management (3 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Oncology (385 citations), Health, Toxicology and Mutagenesis (150 citations), Health (97 citations), Statistics and Probability (83 citations) and Library and Information Sciences (17 citations). Amy B. Dailey has collaborated with scholars based in United States and China. Frequent co-authors include Stanislav V. Kasl, Beth A. Jones, Xiaohui Xu, Evelyn O. Talbott, Theodore R. Holford, Lisa Calvocoressi, Babette Brumback, Gregory Dale Kearney, Vito A. Ilacqua and Hui Zheng Hu. Their work appears in journals such as Statistics in Medicine, American Journal of Epidemiology, Journal of Women s Health, Cancer Epidemiology Biomarkers & Prevention and American Journal of Public Health.
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.