Paula H. Song

1.2k total citations
59 papers, 849 citations indexed

About

Paula H. Song is a scholar working on General Health Professions, Economics and Econometrics and Health Information Management. According to data from OpenAlex, Paula H. Song has authored 59 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in General Health Professions, 35 papers in Economics and Econometrics and 10 papers in Health Information Management. Recurrent topics in Paula H. Song's work include Healthcare Policy and Management (29 papers), Primary Care and Health Outcomes (15 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). Paula H. Song is often cited by papers focused on Healthcare Policy and Management (29 papers), Primary Care and Health Outcomes (15 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). Paula H. Song collaborates with scholars based in United States, South Africa and Switzerland. Paula H. Song's co-authors include Ann Scheck McAlearney, Julie Robbins, Andrew N. Garman, Kristin L. Reiter, Emily C. O’Brien, Brystana G. Kaufman, Sally C. Stearns, Steven B. Spivack, S. R. Singh and Michael I. Harrison and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and American Journal of Public Health.

In The Last Decade

Paula H. Song

54 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula H. Song United States 15 486 343 163 111 94 59 849
Andrea Hassol United States 12 434 0.9× 224 0.7× 187 1.1× 208 1.9× 132 1.4× 33 925
Rushika Fernandopulle United States 8 443 0.9× 326 1.0× 259 1.6× 84 0.8× 108 1.1× 13 805
Alison Powell United Kingdom 16 542 1.1× 125 0.4× 126 0.8× 168 1.5× 101 1.1× 40 1.1k
Askar Chukmaitov United States 17 322 0.7× 364 1.1× 134 0.8× 37 0.3× 61 0.6× 45 866
Kathryn L. Coltin United States 12 572 1.2× 381 1.1× 73 0.4× 71 0.6× 86 0.9× 22 783
Kristin L. Reiter United States 18 543 1.1× 482 1.4× 76 0.5× 88 0.8× 44 0.5× 69 862
Reza Dehnavieh Iran 13 330 0.7× 218 0.6× 92 0.6× 113 1.0× 42 0.4× 105 816
Milena M Santric-Milicevic Serbia 17 337 0.7× 134 0.4× 73 0.4× 111 1.0× 50 0.5× 99 849
Jennifer N. Edwards United States 11 443 0.9× 247 0.7× 115 0.7× 112 1.0× 49 0.5× 26 802
Kristof Stremikis United States 11 488 1.0× 375 1.1× 82 0.5× 76 0.7× 67 0.7× 35 697

Countries citing papers authored by Paula H. Song

Since Specialization
Citations

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

Fields of papers citing papers by Paula H. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula H. Song. 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 Paula H. Song. The network helps show where Paula H. Song may publish in the future.

Co-authorship network of co-authors of Paula H. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Paula H. Song. A scholar is included among the top collaborators of Paula H. Song 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 Paula H. Song. Paula H. Song 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.
Mittler, Jessica, Jean Abraham, Julie Robbins, & Paula H. Song. (2023). To Be or Not to Be Compliant? Hospital Strategic Responses to the Federal Price Transparency Rule. Academy of Management Proceedings. 2023(1). 1 indexed citations
2.
Song, Paula H., et al.. (2022). Medicine resident perceptions regarding β-lactam antibiotic prescribing in patients with penicillin allergy. The Journal of Allergy and Clinical Immunology In Practice. 11(2). 638–641.e1. 1 indexed citations
3.
4.
Song, Paula H., et al.. (2020). The effect of an accountable care organization on dental care for children with disabilities. Journal of Public Health Dentistry. 80(3). 244–249. 5 indexed citations
5.
Song, Paula H., Wendy Xu, Deena J. Chisolm, et al.. (2019). How does being part of a pediatric accountable care organization impact health service use for children with disabilities?. Health Services Research. 54(5). 1007–1015. 10 indexed citations
6.
Hilligoss, Brian, et al.. (2019). What makes health services usable?: Insights from a qualitative study of caregivers of children with disabilities. Health Care Management Review. 46(2). 111–122. 6 indexed citations
7.
Chisolm, Deena J., Sean Gleeson, Kelly J. Kelleher, et al.. (2019). Implications of eligibility category churn for pediatric payment in Medicaid.. PubMed. 25(3). 114–118. 2 indexed citations
8.
Sheftall, Arielle H., Deena J. Chisolm, Laura J. Chavez, et al.. (2018). Satisfaction With Care Coordination for Families of Children With Disabilities. Journal of Pediatric Health Care. 33(3). 255–262. 5 indexed citations
9.
Valenzuela, Antonia, Paula H. Song, & Leland W.K. Chung. (2018). Calcinosis in scleroderma. Current Opinion in Rheumatology. 30(6). 554–561. 45 indexed citations
10.
Song, Paula H., et al.. (2018). Gender Differences in Hospital CEO Compensation: A National Investigation of Not-for-Profit Hospitals. Medical Care Research and Review. 76(6). 830–846. 7 indexed citations
11.
Tanenbaum, Sandra J., Brian Hilligoss, & Paula H. Song. (2018). Health Care innovation and children in poverty: lived experiences of caregivers of children with disabilities in a medicaid-serving ACO. Journal of Children and Poverty. 25(1). 3–20. 2 indexed citations
12.
McAlearney, Ann Scheck, Brian Hilligoss, & Paula H. Song. (2017). Private sector accountable care organization development: a qualitative study.. PubMed. 23(3). 151–158. 2 indexed citations
13.
Hilligoss, Brian, Ann Scheck McAlearney, & Paula H. Song. (2017). Coping with interdependencies related to patient choice: Boundary-spanning at four accountable care organizations. Health Care Management Review. 44(2). 115–126. 7 indexed citations
14.
Song, Paula H., Hadi Beyhaghi, Josh Sommer, & Antonia V. Bennett. (2017). Symptom burden and life challenges reported by adult chordoma patients and their caregivers. Quality of Life Research. 26(8). 2237–2244. 12 indexed citations
15.
Song, Paula H., Brian Hilligoss, & Sean Gleeson. (2016). How a Pediatric ACO Coordinates Care for Children with Disabilities. 1 indexed citations
16.
Song, Paula H., Shoou-Yih D. Lee, Jeffrey A. Alexander, & Eric E. Seiber. (2013). Hospital Ownership and Community Benefit: Looking Beyond Uncompensated Care. Journal of Healthcare Management. 58(2). 126–141. 17 indexed citations
17.
McAlearney, Ann Scheck, Andrew N. Garman, Paula H. Song, et al.. (2011). High-performance work systems in health care management, Part 2. Health Care Management Review. 36(3). 214–226. 46 indexed citations
18.
19.
McAlearney, Ann Scheck, Jill M. Oliveri, Douglas M. Post, et al.. (2011). Trust and distrust among Appalachian women regarding cervical cancer screening: A qualitative study. Patient Education and Counseling. 86(1). 120–126. 40 indexed citations
20.
Mortensen, Karoline & Paula H. Song. (2008). Minding the Gap. Medical Care. 46(10). 1099–1107. 34 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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