Anna McGlothlin
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Advanced Causal Inference Techniques 2
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Kert Viele (5 shared papers)Kristine Broglio (6 shared papers)Donald A. Berry (3 shared papers)Margaret Foster (2 shared papers)Alexander Paterson (1 shared paper)Melanie Quintana (1 shared paper)Jean-François Boileau (1 shared paper)Susan Dent (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)JAMA (2 papers)Trials (2 papers)The American Statistician (1 paper)Clinical Trials (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Anna McGlothlin
15 papers receiving 499 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 179
- Statistics and Probability 92
- Oncology 189
- Critical Care and Intensive Care Medicine 25
- Statistics, Probability and Uncertainty 32
Countries citing papers authored by Anna McGlothlin
This map shows the geographic impact of Anna McGlothlin'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 Anna McGlothlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna McGlothlin more than expected).
Fields of papers citing papers by Anna McGlothlin
This network shows the impact of papers produced by Anna McGlothlin. 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 Anna McGlothlin. The network helps show where Anna McGlothlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna McGlothlin, 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 | 2016 | 229 | |
| 2 | 2018 | 69 | |
| 3 | 2019 | 40 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2008 | 16 | |
| 10 | 2021 | 6 | |
| 11 | 2011 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2011 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 |
About Anna McGlothlin
Anna McGlothlin is a scholar working on Statistics and Probability, Genetics, Oncology, Cancer Research and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 504 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Treatment and Pharmacology (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Advanced Causal Inference Techniques (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Cancer Research (179 citations), Statistics and Probability (92 citations), Oncology (189 citations), Critical Care and Intensive Care Medicine (25 citations) and Statistics, Probability and Uncertainty (32 citations). Anna McGlothlin has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Kert Viele, Kristine Broglio, Donald A. Berry, Margaret Foster, Alexander Paterson, Melanie Quintana, Jean-François Boileau, Susan Dent, Stephen Chia and Christine Brezden‐Masley. Their work appears in journals such as Journal of Clinical Oncology, JAMA, Trials, The American Statistician and Clinical Trials.
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.