Thomas R. O’Neill

571 total citations
45 papers, 374 citations indexed

About

Thomas R. O’Neill is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Management Science and Operations Research. According to data from OpenAlex, Thomas R. O’Neill has authored 45 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 16 papers in General Health Professions and 8 papers in Management Science and Operations Research. Recurrent topics in Thomas R. O’Neill's work include Innovations in Medical Education (22 papers), Diversity and Career in Medicine (8 papers) and Psychometric Methodologies and Testing (8 papers). Thomas R. O’Neill is often cited by papers focused on Innovations in Medical Education (22 papers), Diversity and Career in Medicine (8 papers) and Psychometric Methodologies and Testing (8 papers). Thomas R. O’Neill collaborates with scholars based in United States, United Kingdom and Finland. Thomas R. O’Neill's co-authors include Michael R. Peabody, James C. Puffer, Lars E. Peterson, Andrew Bazemore, Elizabeth G. Baxley, Brenna E. Blackburn, Warren P. Newton, Mary E. Lunz, Kenneth D. Royal and Hao Song and has published in prestigious journals such as Academic Medicine, The Annals of Family Medicine and The Journal of the American Board of Family Medicine.

In The Last Decade

Thomas R. O’Neill

42 papers receiving 326 citations

Peers

Thomas R. O’Neill
D C Lynch United States
Susan Starr United States
Kimberly A. Swygert United States
Terri Cameron United States
Joshua Freeman United States
Benjamin C. M. Boerebach Netherlands
Marco Roos Germany
Colin Coles United Kingdom
Kathleen Z. Holtzman United States
Lee Coombes United Kingdom
D C Lynch United States
Thomas R. O’Neill
Citations per year, relative to Thomas R. O’Neill Thomas R. O’Neill (= 1×) peers D C Lynch

Countries citing papers authored by Thomas R. O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. O’Neill. 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 Thomas R. O’Neill. The network helps show where Thomas R. O’Neill may publish in the future.

Co-authorship network of co-authors of Thomas R. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. O’Neill. A scholar is included among the top collaborators of Thomas R. O’Neill 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 Thomas R. O’Neill. Thomas R. O’Neill 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
1.
Wang, Ting, et al.. (2024). Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination. The Journal of the American Board of Family Medicine. 37(4). 528–582. 4 indexed citations
2.
O’Neill, Thomas R., et al.. (2024). COVID-19 Impact on Family Medicine Residents Exam Performance. Family Medicine. 56(3). 163–168.
3.
O’Neill, Thomas R., et al.. (2024). Examining the Construct Stability of the Family Medicine Certification Scale Between One-Day Exam and Longitudinal Assessment. The Journal of the American Board of Family Medicine. 37(5). 900–908.
4.
Price, David W., et al.. (2024). The Effect of Spaced Repetition on Learning and Knowledge Transfer in a Large Cohort of Practicing Physicians. Academic Medicine. 100(1). 94–102. 4 indexed citations
5.
Newton, Warren P., et al.. (2023). The Decline in Family Medicine in-Training Examination Scores: What We Know and Why It Matters. The Journal of the American Board of Family Medicine. 36(3). 523–526. 3 indexed citations
6.
Price, David W., et al.. (2023). Differences in Physician Performance and Self-rated Confidence on High- and Low-Stakes Knowledge Assessments in Board Certification. Journal of Continuing Education in the Health Professions. 44(1). 2–10. 3 indexed citations
7.
Newton, Warren P., et al.. (2022). HIGH-STAKES KNOWLEDGE ASSESSMENT AT ABFM: WHAT WE HAVE LEARNED AND HOW IT IS USEFUL. The Annals of Family Medicine. 20(2). 186–188.
8.
O’Neill, Thomas R., Ting Wang, & Warren P. Newton. (2022). The American Board of Family Medicine's 8 Years of Experience with Differential Item Functioning. The Journal of the American Board of Family Medicine. 35(1). 18–25. 5 indexed citations
9.
Newton, Warren P., Thomas R. O’Neill, & David W. Price. (2021). THE EVOLUTION OF KNOWLEDGE ASSESSMENT: ABFM’S STRATEGY GOING FORWARD. The Annals of Family Medicine. 19(4). 377–379. 1 indexed citations
10.
Newton, Warren P., Elizabeth G. Baxley, Lars E. Peterson, et al.. (2020). HOW THE ABFM WILL ADDRESS HEALTH EQUITY. The Annals of Family Medicine. 18(5). 468–470. 2 indexed citations
11.
Peabody, Michael R., Aaron Young, Lars E. Peterson, et al.. (2019). The Relationship Between Board Certification and Disciplinary Actions Against Board-Eligible Family Physicians. Academic Medicine. 94(6). 847–852. 12 indexed citations
12.
Phillips, Julie, et al.. (2019). Family Medicine Residents' Debt and Certification Examination Performance. PRiMER. 3. 7–7. 5 indexed citations
13.
Puffer, James C., et al.. (2017). Prevalence of Burnout in Board Certified Family Physicians. The Journal of the American Board of Family Medicine. 30(2). 125–126. 54 indexed citations
14.
O’Neill, Thomas R. & Michael R. Peabody. (2017). Impact of One Versus Two Content-Specific Modules on American Board of Family Medicine Certification Examination Scores. The Journal of the American Board of Family Medicine. 30(1). 85–90. 2 indexed citations
15.
O’Neill, Thomas R., Michael R. Peabody, & James C. Puffer. (2016). Differences in Canadian and US Medical Student Preparation for Family Medicine.. PubMed. 48(10). 770–774. 4 indexed citations
16.
O’Neill, Thomas R., Michael R. Peabody, & Hao Song. (2016). The Predictive Validity of the National Board of Osteopathic Medical Examiners’ COMLEX-USA Examinations With Regard to Outcomes on American Board of Family Medicine Examinations. Academic Medicine. 91(11). 1568–1575. 11 indexed citations
17.
O’Neill, Thomas R., et al.. (2015). The Impact of Repeated Exposure to Items. Teaching and Learning in Medicine. 27(4). 404–409. 10 indexed citations
18.
O’Neill, Thomas R. & James C. Puffer. (2013). Maintenance of Certification and Its Association With the Clinical Knowledge of Family Physicians. Academic Medicine. 88(6). 780–787. 24 indexed citations
19.
O’Neill, Thomas R., et al.. (2005). Re-Evaluating the NCLEX-RN® Passing Standard. Journal of Nursing Measurement. 13(2). 147–167. 17 indexed citations
20.
O’Neill, Thomas R., et al.. (2005). Recommending a Minimum English Proficiency Standard for Entry-Level Nursing. PubMed. 7(2). 56–58. 3 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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