Erin E. Gabriel
Impact in
- Virology top 5%
- HIV Research and Treatment
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
Papers in
-
- Advanced Causal Inference Techniques 23
- Statistical Methods and Inference 16
- Statistical Methods and Bayesian Inference 11
- Statistical Methods in Clinical Trials 10
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- HIV/AIDS Research and Interventions 6
- Co-authors
- Peter B. Gilbert (7 shared papers)Michael C. Sachs (20 shared papers)Ivan S. F. Chan (2 shared papers)Xiaoming Li (1 shared paper)Janie Parrino (1 shared paper)Xiaopeng Miao (1 shared paper)Arvid Sjölander (17 shared papers)Donald N. Forthal (2 shared papers)
- Journals
- Statistics in Medicine (8 papers)Biostatistics (6 papers)PLoS ONE (4 papers)American Journal of Tropical Medicine and Hygiene (3 papers)Biometrics (3 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Erin E. Gabriel
67 papers receiving 753 citations
Peers
Comparison fields: 5 of 98
- Virology 147
- Statistics and Probability 111
- Emergency Medicine 81
- Immunology 142
- Infectious Diseases 119
Countries citing papers authored by Erin E. Gabriel
This map shows the geographic impact of Erin E. Gabriel'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 Erin E. Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin E. Gabriel more than expected).
Fields of papers citing papers by Erin E. Gabriel
This network shows the impact of papers produced by Erin E. Gabriel. 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 Erin E. Gabriel. The network helps show where Erin E. Gabriel may publish in the future.
Co-authors
The 25 scholars most cited alongside Erin E. Gabriel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2014 | 74 | |
| 3 | 2021 | 55 | |
| 4 | 2012 | 43 | |
| 5 | 2013 | 41 | |
| 6 | 2016 | 34 | |
| 7 | 2009 | 31 | |
| 8 | 2012 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2011 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2017 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2017 | 11 | |
| 20 | 2020 | 10 |
About Erin E. Gabriel
Erin E. Gabriel is a scholar working on Statistics and Probability, Infectious Diseases, Immunology, Virology and Epidemiology, having authored 73 papers that have together received 758 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (23 papers), Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (11 papers), Statistical Methods in Clinical Trials (10 papers), HIV Research and Treatment (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), HIV/AIDS Research and Interventions (6 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Virology (147 citations), Statistics and Probability (111 citations), Emergency Medicine (81 citations), Immunology (142 citations) and Infectious Diseases (119 citations). Erin E. Gabriel has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Peter B. Gilbert, Michael C. Sachs, Ivan S. F. Chan, Xiaoming Li, Janie Parrino, Xiaopeng Miao, Arvid Sjölander, Donald N. Forthal, Angela Yee‐Moon Wang and Tran B. Phan. Their work appears in journals such as Statistics in Medicine, Biostatistics, PLoS ONE, American Journal of Tropical Medicine and Hygiene and Biometrics.
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.