Erica E. M. Moodie
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques 88
- Statistical Methods and Inference 62
- Statistical Methods in Clinical Trials 40
- Statistical Methods and Bayesian Inference 36
- Hepatology top 2%
- Hepatitis C virus research 21
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 22
- Virology top 5%
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 16
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- Health Systems, Economic Evaluations, Quality of Life 19
- Co-authors
- David A. StephensBibhas ChakrabortyMarina B. KleinRobert W. PlattThomas S. RichardsonMichael P. WallaceMichał AbrahamowiczSamy Suissa
- Journals
- Journal of the American Statistical Association (5 papers)Annals of Internal Medicine (1 paper)PLoS ONE (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Erica E. M. Moodie
186 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 171
- Statistics and Probability 1.2k
- Hepatology 303
- Infectious Diseases 542
- Virology 120
- Epidemiology 702
Countries citing papers authored by Erica E. M. Moodie
This map shows the geographic impact of Erica E. M. Moodie'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 Erica E. M. Moodie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erica E. M. Moodie more than expected).
Fields of papers citing papers by Erica E. M. Moodie
This network shows the impact of papers produced by Erica E. M. Moodie. 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 Erica E. M. Moodie. The network helps show where Erica E. M. Moodie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erica E. M. Moodie, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 22 | |
| 18 | 2020 | 8 | |
| 19 | 2017 | 3 | |
| 20 | 2010 | 7 |
About Erica E. M. Moodie
Erica E. M. Moodie is a scholar working on Statistics and Probability, Hepatology and Virology, having authored 200 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (88 papers), Statistical Methods and Inference (62 papers), Statistical Methods in Clinical Trials (40 papers), Statistical Methods and Bayesian Inference (36 papers), HIV/AIDS Research and Interventions (22 papers), Hepatitis C virus research (21 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers) and Liver Disease Diagnosis and Treatment (16 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Hepatology (303 citations) and Infectious Diseases (542 citations). Erica E. M. Moodie has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David A. Stephens, Bibhas Chakraborty, Marina B. Klein, Robert W. Platt, Thomas S. Richardson, Michael P. Wallace, Michał Abrahamowicz, Samy Suissa, Yongling Xiao and Ashley I. Naimi. Their work appears in journals such as Journal of the American Statistical Association, Annals of Internal Medicine and PLoS ONE.
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.