Matt Vassar

6.2k total citations · 1 hit paper
358 papers, 4.0k citations indexed

About

Matt Vassar is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Matt Vassar has authored 358 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Statistics, Probability and Uncertainty, 132 papers in Public Health, Environmental and Occupational Health and 86 papers in Economics and Econometrics. Recurrent topics in Matt Vassar's work include Meta-analysis and systematic reviews (185 papers), Health Systems, Economic Evaluations, Quality of Life (74 papers) and Clinical practice guidelines implementation (55 papers). Matt Vassar is often cited by papers focused on Meta-analysis and systematic reviews (185 papers), Health Systems, Economic Evaluations, Quality of Life (74 papers) and Clinical practice guidelines implementation (55 papers). Matt Vassar collaborates with scholars based in United States, Japan and Canada. Matt Vassar's co-authors include H C G Matthew, Cole Wayant, Jake X. Checketts, Denna Wheeler, Jody A. Worley, Lisa L. Barnes, Jared Scott, Micah Hartwell, Chase Meyer and Ryan Ottwell and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Matt Vassar

330 papers receiving 3.9k citations

Hit Papers

The retrospective chart review: important methodological ... 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The retrospective chart review: important methodological considerations
    2013 377 citations Matt Vassar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Vassar United States 30 1.2k 975 833 592 468 358 4.0k
Jeremy Howick United Kingdom 34 437 0.4× 1.1k 1.1× 1.5k 1.8× 527 0.9× 294 0.6× 135 5.3k
Klaus‐Peter Schulz Germany 10 997 0.8× 696 0.7× 399 0.5× 581 1.0× 771 1.6× 14 4.9k
Michael L. Callaham United States 38 996 0.8× 679 0.7× 753 0.9× 414 0.7× 549 1.2× 95 4.7k
Iveta Simera United Kingdom 21 1.1k 0.9× 1.1k 1.1× 2.2k 2.7× 835 1.4× 409 0.9× 35 5.6k
Virginia Barbour United Kingdom 19 595 0.5× 1.6k 1.6× 2.1k 2.5× 538 0.9× 603 1.3× 94 7.8k
Gerd Antes Germany 30 816 0.7× 877 0.9× 444 0.5× 329 0.6× 612 1.3× 94 3.6k
Jamie J Kirkham United Kingdom 39 1.5k 1.3× 1.5k 1.6× 855 1.0× 1.5k 2.5× 1.1k 2.4× 136 7.7k
Lucy Turner Canada 20 917 0.8× 594 0.6× 625 0.8× 434 0.7× 308 0.7× 37 3.0k
Rebecca Turner United Kingdom 34 1.0k 0.9× 373 0.4× 277 0.3× 563 1.0× 605 1.3× 66 4.9k
Fredric M. Wolf United States 32 327 0.3× 1.6k 1.6× 2.1k 2.5× 442 0.7× 570 1.2× 101 6.3k

Countries citing papers authored by Matt Vassar

Since Specialization
Citations

This map shows the geographic impact of Matt Vassar'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 Matt Vassar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Vassar more than expected).

Fields of papers citing papers by Matt Vassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Vassar. 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 Matt Vassar. The network helps show where Matt Vassar may publish in the future.

Co-authorship network of co-authors of Matt Vassar

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

All Works

20 of 20 papers shown
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Furr-Holden, Debra, et al.. (2024). A scoping review of health inequities in alcohol use disorder. The American Journal of Drug and Alcohol Abuse. 50(1). 27–41. 1 indexed citations
3.
Vassar, Matt, et al.. (2024). Treatment in persistent genital arousal disorder: a scoping review. Baylor University Medical Center Proceedings. 37(6). 970–975.
4.
Johnson, Austin, et al.. (2024). Reporting of Complications in Rhinoplasty Randomized Controlled Trials: An Analysis Using the CONSORT Extension for Harms Checklist. Otolaryngology. 171(1). 81–89. 1 indexed citations
5.
Vassar, Matt, et al.. (2023). Assessing uptake of the core outcome set in randomized controlled trials for Parkinson’s disease: A systematic review. Ageing Research Reviews. 91. 102081–102081. 6 indexed citations
6.
Vassar, Matt, et al.. (2023). ASSESSING THE UPTAKE OF CORE OUTCOME SETS IN RANDOMIZED CONTROLLED TRIALS FOR PARKINSON’S DISEASE. Innovation in Aging. 7(Supplement_1). 990–990. 1 indexed citations
7.
Vassar, Matt, et al.. (2023). Health Inequities in Coronary Artery Bypass Grafting Literature: A Scoping Review. Current Problems in Cardiology. 48(6). 101640–101640.
8.
Vassar, Matt, et al.. (2023). Inequities in Epilepsy. Neurology Clinical Practice. 13(6). e200211–e200211. 6 indexed citations
9.
Johnson, Austin, et al.. (2023). Obesity, stigma, and person‐centered language: A serial cross‐sectional analysis of scientific literature. Obesity. 31(6). 1505–1509. 2 indexed citations
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Ottwell, Ryan, et al.. (2021). Evaluation of spin in the abstracts of systematic reviews and meta-analyses focused on treatments of alcohol use disorder. The American Journal of Drug and Alcohol Abuse. 47(4). 476–485. 1 indexed citations
12.
Meyer, Chase, et al.. (2021). An analysis of the rates of discontinuation and non-publication of colorectal cancer clinical trials. International Journal of Colorectal Disease. 36(11). 2529–2532. 8 indexed citations
13.
Anderson, Jon, et al.. (2021). Publication Trends and Their Relationship With Academic Success Among Dermatology Residents: Cross-sectional Analysis. JMIR Dermatology. 4(2). e30015–e30015. 1 indexed citations
14.
Shepard, Samuel, et al.. (2021). Examining the Public’s Most Frequently Asked Questions Regarding COVID-19 Vaccines Using Search Engine Analytics in the United States: Observational Study. SHILAP Revista de lepidopterología. 1(1). e28740–e28740. 22 indexed citations
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Shepard, Samuel, et al.. (2021). The influence of industry sponsorship and conflict of interest on results and conclusions of systematic reviews regarding treatment of knee osteoarthritis. SHILAP Revista de lepidopterología. 3(1). 100142–100142. 2 indexed citations
17.
Anderson, Jon, et al.. (2021). Financial Conflicts of Interest Among Systematic Review Authors Investigating Interventions for Achilles Tendon Ruptures. Foot & Ankle Orthopaedics. 6(2). 1758297037–1758297037. 1 indexed citations
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Vassar, Matt, et al.. (2019). Evaluation of selective outcome reporting and trial registration practices among addiction clinical trials. Addiction. 115(6). 1172–1179. 15 indexed citations
20.
Ross, Andrew, et al.. (2018). Evaluation of spin in the abstracts of otolaryngology randomized controlled trials. The Laryngoscope. 129(9). 2036–2040. 44 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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