Alicyn Campbell
Impact in
- Oncology top 5%
- Cancer survivorship and care
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 11
- Oncology 12
- Cancer survivorship and care 10
- Co-authors
- Joseph P. O'Connell (3 shared papers)Ian W. Taylor (3 shared papers)Stephen P. Letrent (3 shared papers)Jane Q. Liang (2 shared papers)Ana Ruiz-Garcı́a (2 shared papers)Dae Seog Heo (2 shared papers)Keunchil Park (2 shared papers)Richard C. Frank (1 shared paper)
- Journals
- The Lancet Oncology (7 papers)BMC Medical Research Methodology (2 papers)Journal of Thoracic Oncology (2 papers)Clinical Trials (2 papers)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Alicyn Campbell
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Oncology 418
- Statistics and Probability 231
- Pulmonary and Respiratory Medicine 380
- Economics and Econometrics 178
- Statistics, Probability and Uncertainty 40
Countries citing papers authored by Alicyn Campbell
This map shows the geographic impact of Alicyn Campbell'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 Alicyn Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicyn Campbell more than expected).
Fields of papers citing papers by Alicyn Campbell
This network shows the impact of papers produced by Alicyn Campbell. 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 Alicyn Campbell. The network helps show where Alicyn Campbell may publish in the future.
Co-authors
The 25 scholars most cited alongside Alicyn Campbell, 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 | 2020 | 252 | |
| 2 | 2012 | 231 | |
| 3 | 2016 | 165 | |
| 4 | 2014 | 128 | |
| 5 | 2018 | 80 | |
| 6 | 2023 | 46 | |
| 7 | 2018 | 45 | |
| 8 | 2023 | 39 | |
| 9 | 2018 | 30 | |
| 10 | 2013 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2014 | 20 | |
| 13 | 2016 | 16 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 3 |
About Alicyn Campbell
Alicyn Campbell is a scholar working on Statistics and Probability, Oncology, Economics and Econometrics, Pulmonary and Respiratory Medicine and Toxicology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (11 papers), Cancer survivorship and care (10 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Lung Cancer Treatments and Mutations (5 papers), Telemedicine and Telehealth Implementation (1 paper), Digital Mental Health Interventions (1 paper), Mobile Health and mHealth Applications (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Oncology (418 citations), Statistics and Probability (231 citations), Pulmonary and Respiratory Medicine (380 citations), Economics and Econometrics (178 citations) and Statistics, Probability and Uncertainty (40 citations). Alicyn Campbell has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Joseph P. O'Connell, Ian W. Taylor, Stephen P. Letrent, Jane Q. Liang, Ana Ruiz-Garcı́a, Dae Seog Heo, Keunchil Park, Richard C. Frank, Fiona Helen Blackhall and Suresh S. Ramalingam. Their work appears in journals such as The Lancet Oncology, BMC Medical Research Methodology, Journal of Thoracic Oncology, Clinical Trials and Breast Cancer Research and Treatment.
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.