Janet Wittes
- Cardiology and Cardiovascular Medicine top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Surgery top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Molecular Biology top 5%
- Co-authors
- A CastaigneBertram PittRobert CodyFaı̈ez ZannadA.J. Pérez PérezWillem J. RemmeTimothy J WiltSander J. Robins
- Topics
- Statistical Methods in Clinical Trials (7 papers)Health Systems, Economic Evaluations, Quality of Life (6 papers)Meta-analysis and systematic reviews (4 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Janet Wittes
29 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Cardiology and Cardiovascular Medicine 5.4k
- Endocrinology, Diabetes and Metabolism 4.4k
- Surgery 2.9k
- Pulmonary and Respiratory Medicine 1.9k
- Molecular Biology 1.5k
Countries citing papers authored by Janet Wittes
This map shows the geographic impact of Janet Wittes'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 Janet Wittes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Wittes more than expected).
Fields of papers citing papers by Janet Wittes
This network shows the impact of papers produced by Janet Wittes. 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 Janet Wittes. The network helps show where Janet Wittes may publish in the future.
Co-authorship network of co-authors of Janet Wittes
This figure shows the co-authorship network connecting the top 25 collaborators of Janet Wittes. A scholar is included among the top collaborators of Janet Wittes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janet Wittes. Janet Wittes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 128 | |
| 5 | 11 | |
| 6 | 75 | |
| 7 | 20 | |
| 8 | 13 | |
| 9 | 197 | |
| 10 | 286 | |
| 11 | 5 | |
| 12 | 340 | |
| 13 | Gemfibrozil for the Secondary Prevention of Coronary Heart Disease in Men with Low Levels of High-Density Lipoprotein Cholesterolbreakdown → | 2568 |
| 14 | 208 | |
| 15 | 302 | |
| 16 | 130 | |
| 17 | 13 | |
| 18 | 37 | |
| 19 | 12 | |
| 20 | Discussion: Stephen George, a survey of monitoring practices in cancer clinical trials: Stephanie Green and John Crowley, data monitoring committees for Southwest Oncology Group clinical trials | 2 |
About Janet Wittes
Janet Wittes is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Urology, having authored 29 papers that have together received 11.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.4k citations), Cardiology and Cardiovascular Medicine (5.4k citations) and Surgery (2.9k citations). Janet Wittes has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include A Castaigne, Bertram Pitt, Robert Cody, Faı̈ez Zannad, A.J. Pérez Pérez, Willem J. Remme, Timothy J Wilt, Sander J. Robins, Fred H. Faas and Dorothea Collins. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.
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.