Kenneth Quinto

761 total citations
10 papers, 250 citations indexed

About

Kenneth Quinto is a scholar working on Statistics and Probability, Economics and Econometrics and Infectious Diseases. According to data from OpenAlex, Kenneth Quinto has authored 10 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Economics and Econometrics and 2 papers in Infectious Diseases. Recurrent topics in Kenneth Quinto's work include Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Advanced Causal Inference Techniques (3 papers). Kenneth Quinto is often cited by papers focused on Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Advanced Causal Inference Techniques (3 papers). Kenneth Quinto collaborates with scholars based in United States. Kenneth Quinto's co-authors include Sebastian Schneeweiß, Elizabeth M. Garry, Jessica M. Franklin, Hemin Lee, David Martin, Lily G. Bessette, Ajinkya Pawar, Nileesa Gautam, Rishi Desai and Robert J. Glynn and has published in prestigious journals such as Circulation, American Journal of Epidemiology and BMJ.

In The Last Decade

Kenneth Quinto

8 papers receiving 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenneth Quinto United States 5 81 79 39 38 36 10 250
Aimilia Exarchakou United Kingdom 8 44 0.5× 76 1.0× 50 1.3× 24 0.6× 24 0.7× 11 341
Alind Gupta Canada 10 31 0.4× 47 0.6× 49 1.3× 16 0.4× 19 0.5× 20 300
Dimple Patel United States 9 63 0.8× 38 0.5× 33 0.8× 13 0.3× 19 0.5× 20 343
Ping Gao China 11 195 2.4× 59 0.7× 48 1.2× 10 0.3× 32 0.9× 29 350
Cathy Anne Pinto United States 11 35 0.4× 159 2.0× 52 1.3× 86 2.3× 63 1.8× 29 509
Jules T. Mitchel United States 10 63 0.8× 71 0.9× 16 0.4× 32 0.8× 7 0.2× 16 354
Hua Wei China 5 48 0.6× 79 1.0× 23 0.6× 8 0.2× 7 0.2× 11 188
Dinesh Pal Mudaranthakam United States 9 24 0.3× 46 0.6× 28 0.7× 8 0.2× 22 0.6× 51 253
Jack Ishak United States 9 22 0.3× 93 1.2× 49 1.3× 34 0.9× 66 1.8× 20 374
Lesley Wise United Kingdom 9 19 0.2× 49 0.6× 58 1.5× 40 1.1× 9 0.3× 12 480

Countries citing papers authored by Kenneth Quinto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kenneth Quinto

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Quinto. A scholar is included among the top collaborators of Kenneth Quinto 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 Kenneth Quinto. Kenneth Quinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Su, I‐Hsuan, Charles Poole, Jessie K. Edwards, et al.. (2024). Use of sensitivity analyses to assess uncontrolled confounding from unmeasured variables in observational, active comparator pharmacoepidemiologic studies: a systematic review. American Journal of Epidemiology. 194(2). 524–535. 1 indexed citations
2.
Beebe, Elisha, Elizabeth M. Garry, Nicolle M. Gatto, et al.. (2023). A Descriptive Cohort Study of Drug Utilization Patterns Among Patients Hospitalized With Coronavirus Disease 2019 in the United States, January 2021–February 2022. Open Forum Infectious Diseases. 10(7). ofad339–ofad339. 1 indexed citations
3.
Wallach, Joshua D., Yihong Deng, Eric C. Polley, et al.. (2023). Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials. Clinical Trials. 20(6). 689–698. 4 indexed citations
4.
Garry, Elizabeth M., Andrew R. Weckstein, Kenneth Quinto, et al.. (2022). Categorization of COVID‐19 severity to determine mortality risk. Pharmacoepidemiology and Drug Safety. 31(7). 721–728. 13 indexed citations
5.
Schneeweiß, Sebastian, Sushama Kattinakere Sreedhara, Luke E. Zabotka, et al.. (2022). Real-World Evidence Prediction of a Phase IV Oncology Trial: Comparative Degarelix vs Leuprolide Safety. JNCI Cancer Spectrum. 6(4). 5 indexed citations
6.
Deng, Yihong, Eric C. Polley, Joshua D. Wallach, et al.. (2022). Emulating the GRADE trial using real world data: retrospective comparative effectiveness study. BMJ. 379. e070717–e070717. 15 indexed citations
7.
Busch, Rainer, Inna Dashevsky, Marie C. Bradley, et al.. (2022). Utilization Characteristics for COPD Inhaled Medication Users in the Sentinel Distributed Database. A2779–A2779.
8.
Wallach, Joshua D., Yihong Deng, Rozalina G. McCoy, et al.. (2021). Real-world Cardiovascular Outcomes Associated With Degarelix vs Leuprolide for Prostate Cancer Treatment. JAMA Network Open. 4(10). e2130587–e2130587. 29 indexed citations
9.
McMahon, Ann, Kenneth Quinto, Amy P. Abernethy, & Jacqueline Corrigan‐Curay. (2021). Summary of Literature on Pediatric Real-world Evidence and Effectiveness. JAMA Pediatrics. 175(10). 1077–1077. 2 indexed citations
10.
Franklin, Jessica M., Elisabetta Patorno, Rishi Desai, et al.. (2020). Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies. Circulation. 143(10). 1002–1013. 180 indexed citations

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.

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