Laura E. Bothwell
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
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- Meta-analysis and systematic reviews
Papers in
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- Statistical Methods in Clinical Trials 3
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- Health and Medical Research Impacts 3
- Ethics in Clinical Research 2
- Co-authors
- Scott H. Podolsky (3 shared papers)David Shumway Jones (3 shared papers)Jeremy A. Greene (1 shared paper)Aaron Seth Kesselheim (2 shared papers)Nazleen F. Khan (1 shared paper)Jerry Avorn (1 shared paper)Susan Canny (1 shared paper)Charles M. Lovett (1 shared paper)
- Journals
- New England Journal of Medicine (2 papers)Annals of Surgery (1 paper)The Hastings Center Report (1 paper)Journal of Bacteriology (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesNew ZealandTaiwan
In The Last Decade
Laura E. Bothwell
8 papers receiving 866 citations
Laura E. Bothwell's Hit Papers
Peers
Comparison fields: 5 of 136
- Statistics and Probability 160
- Statistics, Probability and Uncertainty 61
- Health Informatics 9
- Economics and Econometrics 150
- Genetics 138
Countries citing papers authored by Laura E. Bothwell
This map shows the geographic impact of Laura E. Bothwell'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 Laura E. Bothwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura E. Bothwell more than expected).
Fields of papers citing papers by Laura E. Bothwell
This network shows the impact of papers produced by Laura E. Bothwell. 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 Laura E. Bothwell. The network helps show where Laura E. Bothwell may publish in the future.
Co-authors
The 14 scholars most cited alongside Laura E. Bothwell, 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 | Assessing the Gold Standard — Lessons from the History of RCTs Hit paper breakdown → | 2016 | 447 |
| 2 | 2005 | 173 | |
| 3 | 2016 | 132 | |
| 4 | 2018 | 129 | |
| 5 | 2017 | 20 | |
| 6 | 2019 | 12 | |
| 7 | 2014 | 3 | |
| 8 | 2020 | 3 |
About Laura E. Bothwell
Laura E. Bothwell is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Economics and Econometrics, Physiology and Neurology, having authored 8 papers that have together received 919 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Health and Medical Research Impacts (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Ethics in Clinical Research (2 papers), Biomedical Ethics and Regulation (2 papers), Healthcare cost, quality, practices (1 paper), History of Medical Practice (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Statistics and Probability (160 citations), Statistics, Probability and Uncertainty (61 citations), Health Informatics (9 citations), Economics and Econometrics (150 citations) and Genetics (138 citations). Laura E. Bothwell has collaborated with scholars based in United States, New Zealand and Taiwan. Frequent co-authors include Scott H. Podolsky, David Shumway Jones, Jeremy A. Greene, Aaron Seth Kesselheim, Nazleen F. Khan, Jerry Avorn, Susan Canny, Charles M. Lovett, Alexi I. Goranov and Theresa C. O’Brien. Their work appears in journals such as New England Journal of Medicine, Annals of Surgery, The Hastings Center Report, Journal of Bacteriology and BMJ Open.
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.