Christopher Quale
Impact in
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
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- Cancer, Lipids, and Metabolism
Papers in
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- Statistical Distribution Estimation and Applications 2
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Oncology 2
- Global Cancer Incidence and Screening 2
- Co-authors
- Rebecca Smith‐Bindman (3 shared papers)Diana B. Cherbavaz (2 shared papers)Audrey D. Goddard (2 shared papers)Drew Watson (1 shared paper)Dejan Knezevic (1 shared paper)Eric A. Klein (1 shared paper)Cristina Magi‐Galluzzi (1 shared paper)Sara M. Falzarano (1 shared paper)
- Journals
- American Journal of Epidemiology (2 papers)Lifetime Data Analysis (1 paper)Biometrics (1 paper)American Journal of Preventive Medicine (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher Quale
10 papers receiving 554 citations
Peers
Comparison fields: 5 of 80
- Pulmonary and Respiratory Medicine 211
- Cancer Research 87
- Pharmacy 19
- Oncology 96
- Statistics and Probability 31
Countries citing papers authored by Christopher Quale
This map shows the geographic impact of Christopher Quale'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 Christopher Quale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Quale more than expected).
Fields of papers citing papers by Christopher Quale
This network shows the impact of papers produced by Christopher Quale. 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 Christopher Quale. The network helps show where Christopher Quale may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Quale, 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 | 2013 | 247 | |
| 2 | 2005 | 126 | |
| 3 | 1999 | 60 | |
| 4 | 2006 | 54 | |
| 5 | 2010 | 33 | |
| 6 | 1998 | 29 | |
| 7 | 2002 | 11 | |
| 8 | 2000 | 6 | |
| 9 | 2006 | 6 | |
| 10 | 2009 | 2 |
About Christopher Quale
Christopher Quale is a scholar working on Statistics and Probability, Oncology, Molecular Biology, Pharmacology and Pathology and Forensic Medicine, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (2 papers), Global Cancer Incidence and Screening (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Obesity, Physical Activity, Diet (1 paper), Folate and B Vitamins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (211 citations), Cancer Research (87 citations), Pharmacy (19 citations), Oncology (96 citations) and Statistics and Probability (31 citations). Christopher Quale has collaborated with scholars based in United States. Frequent co-authors include Rebecca Smith‐Bindman, Diana B. Cherbavaz, Audrey D. Goddard, Drew Watson, Dejan Knezevic, Eric A. Klein, Cristina Magi‐Galluzzi, Sara M. Falzarano, Kim M. Clark-Langone and Philip Chu. Their work appears in journals such as American Journal of Epidemiology, Lifetime Data Analysis, Biometrics, American Journal of Preventive Medicine and JNCI Journal of the National Cancer Institute.
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.