Charli Armstrong
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Chronic Obstructive Pulmonary Disease (COPD) Research
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Lung Cancer Diagnosis and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Radiation Dose and Imaging 1
- Co-authors
- Daniel S. Reuland (2 shared papers)Max Nagle (2 shared papers)Alison T. Brenner (2 shared papers)Manny Coker‐Schwimmer (2 shared papers)Stephen D. Clark (2 shared papers)Russell Harris (2 shared papers)Christiane Voisin (2 shared papers)Rachel Palmieri Weber (2 shared papers)
- Journals
- JAMA (1 paper)BMJ (1 paper)Europe PMC (PubMed Central) (1 paper)
- Partner nations
- United States
In The Last Decade
Charli Armstrong
3 papers receiving 377 citations
Charli Armstrong's Hit Papers
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 268
- Radiology, Nuclear Medicine and Imaging 129
- Otorhinolaryngology 20
- Oncology 123
- Cancer Research 49
Countries citing papers authored by Charli Armstrong
This map shows the geographic impact of Charli Armstrong'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 Charli Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charli Armstrong more than expected).
Fields of papers citing papers by Charli Armstrong
This network shows the impact of papers produced by Charli Armstrong. 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 Charli Armstrong. The network helps show where Charli Armstrong may publish in the future.
Co-authors
The 13 scholars most cited alongside Charli Armstrong, 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 | Screening for Lung Cancer With Low-Dose Computed Tomography Hit paper breakdown → | 2021 | 358 |
| 2 | Screening for Lung Cancer With Low-Dose Computed Tomography: An Evidence Review for the U.S. Preventive Services Task Force | 2021 | 22 |
| 3 | 1966 | 5 |
About Charli Armstrong
Charli Armstrong is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 385 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Medical Imaging Techniques and Applications (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (268 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Otorhinolaryngology (20 citations), Oncology (123 citations) and Cancer Research (49 citations). Charli Armstrong has collaborated with scholars based in United States. Frequent co-authors include Daniel S. Reuland, Max Nagle, Alison T. Brenner, Manny Coker‐Schwimmer, Stephen D. Clark, Russell Harris, Christiane Voisin, Rachel Palmieri Weber, Chineme Enyioha and Jennifer Cook Middleton. Their work appears in journals such as JAMA, BMJ and Europe PMC (PubMed Central).
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.