Kenneth Quinto
Impact in
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
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- Meta-analysis and systematic reviews
Papers in
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- Advanced Causal Inference Techniques 2
- Statistical Methods in Clinical Trials 1
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- COVID-19 Clinical Research Studies 1
- Co-authors
- Elizabeth M. Garry (3 shared papers)Robert J. Glynn (1 shared paper)Hemin Lee (1 shared paper)David Martin (1 shared paper)Sebastian Schneeweiß (2 shared papers)Jessica M. Franklin (1 shared paper)Elisabetta Patorno (1 shared paper)Nileesa Gautam (1 shared paper)
- Journals
- Pharmacoepidemiology and Drug Safety (1 paper)Circulation (1 paper)JNCI Cancer Spectrum (1 paper)Clinical Trials (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United States
In The Last Decade
Kenneth Quinto
9 papers receiving 259 citations
Kenneth Quinto's Hit Papers
Peers
Comparison fields: 5 of 58
- Statistics and Probability 63
- Statistics, Probability and Uncertainty 15
- Endocrinology, Diabetes and Metabolism 31
- Economics and Econometrics 53
- Cardiology and Cardiovascular Medicine 21
Countries citing papers authored by Kenneth Quinto
This map shows the geographic impact of Kenneth Quinto'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 Kenneth Quinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Quinto more than expected).
Fields of papers citing papers by Kenneth Quinto
This network shows the impact of papers produced by Kenneth Quinto. 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 Kenneth Quinto. The network helps show where Kenneth Quinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Quinto, 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 | Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies Hit paper breakdown → | 2020 | 186 |
| 2 | 2021 | 30 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 0 |
About Kenneth Quinto
Kenneth Quinto is a scholar working on Statistics and Probability, Infectious Diseases, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Speech and Hearing, having authored 10 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Adolescent and Pediatric Healthcare (1 paper), COVID-19 Clinical Research Studies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Prostate Cancer Treatment and Research (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Statistical Methods in Clinical Trials (1 paper) and Pediatric Pain Management Techniques (1 paper). The work is most often cited by research in Statistics and Probability (63 citations), Statistics, Probability and Uncertainty (15 citations), Endocrinology, Diabetes and Metabolism (31 citations), Economics and Econometrics (53 citations) and Cardiology and Cardiovascular Medicine (21 citations). Kenneth Quinto has collaborated with scholars based in United States. Frequent co-authors include Elizabeth M. Garry, Robert J. Glynn, Hemin Lee, David Martin, Sebastian Schneeweiß, Jessica M. Franklin, Elisabetta Patorno, Nileesa Gautam, Rishi Desai and Lily G. Bessette. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Circulation, JNCI Cancer Spectrum, Clinical Trials and JAMA Network 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.