William V. Padula

5.1k total citations · 1 hit paper
125 papers, 2.5k citations indexed

About

William V. Padula is a scholar working on Economics and Econometrics, Occupational Therapy and Surgery. According to data from OpenAlex, William V. Padula has authored 125 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Economics and Econometrics, 36 papers in Occupational Therapy and 29 papers in Surgery. Recurrent topics in William V. Padula's work include Pressure Ulcer Prevention and Management (36 papers), Health Systems, Economic Evaluations, Quality of Life (31 papers) and Wound Healing and Treatments (15 papers). William V. Padula is often cited by papers focused on Pressure Ulcer Prevention and Management (36 papers), Health Systems, Economic Evaluations, Quality of Life (31 papers) and Wound Healing and Treatments (15 papers). William V. Padula collaborates with scholars based in United States, Australia and United Kingdom. William V. Padula's co-authors include Benjo A. Delarmente, Mary Beth Flynn Makic, Manish Mishra, Jonathan D. Campbell, William H. Crown, Maarten J. IJzerman, Peter J. Pronovost, Kalyan S. Pasupathy, Deborah A. Marshall and Peter K. K. Wong and has published in prestigious journals such as New England Journal of Medicine, Blood and Annals of Internal Medicine.

In The Last Decade

William V. Padula

117 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

The national cost of hospital‐acquired pressure injuries in the United States

2019 387 citations William V. Padula, Benjo A. Delarmente International Wound Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William V. Padula United States	25	891	535	477	469	417	125	2.5k
Michael Clark United Kingdom	30	1.4k 1.5×	815 1.5×	864 1.8×	446 1.0×	658 1.6×	71	3.1k
Min‐Woong Sohn United States	30	243 0.3×	713 1.3×	442 0.9×	410 0.9×	773 1.9×	88	3.5k
Nick Bosanquet United Kingdom	24	325 0.4×	1.0k 2.0×	308 0.6×	342 0.7×	133 0.3×	117	2.7k
Paul Trueman United Kingdom	26	136 0.2×	627 1.2×	213 0.4×	853 1.8×	138 0.3×	72	3.0k
A Hutchinson United Kingdom	18	148 0.2×	240 0.4×	184 0.4×	130 0.3×	357 0.9×	33	1.5k
Dawn Craig United Kingdom	26	99 0.1×	729 1.4×	202 0.4×	250 0.5×	460 1.1×	131	3.1k
Tracy Merlin Australia	26	77 0.1×	573 1.1×	95 0.2×	419 0.9×	117 0.3×	86	2.4k
Joshua Byrnes Australia	24	88 0.1×	259 0.5×	72 0.2×	391 0.8×	72 0.2×	166	2.2k
Stephanie Stock Germany	26	88 0.1×	192 0.4×	56 0.1×	558 1.2×	222 0.5×	190	3.1k
Fernando Antoñanzas Spain	23	52 0.1×	211 0.4×	137 0.3×	768 1.6×	264 0.6×	140	2.3k

Countries citing papers authored by William V. Padula

Since Specialization

Citations

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

Fields of papers citing papers by William V. Padula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William V. Padula. 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 William V. Padula. The network helps show where William V. Padula may publish in the future.

Co-authorship network of co-authors of William V. Padula

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

All Works

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20 of 20 papers shown

Wu, Albert W., Allen Zhang, G. Caleb Alexander, et al.. (2025). Interventions to improve patient safety during the COVID-19 pandemic: a systematic review. BMJ Open Quality. 14(2). e003076–e003076.

Diño, Michael Joseph S., Peter Abadir, Chakra Budhathoki, et al.. (2024). What drives older adults’ acceptance of virtual humans? A conjoint and latent class analysis on virtual exercise coach attributes for a community-based exercise program. Computers in Human Behavior. 164. 108507–108507. 1 indexed citations

Gordon, Aliza S., et al.. (2024). The Burden of Health Care Utilization, Cost, and Mortality Associated with Select Surgical Site Infections. The Joint Commission Journal on Quality and Patient Safety. 50(12). 857–866. 5 indexed citations

Padula, William V., Kenneth R. Ziegler, Laura Shin, et al.. (2024). Evaluating the impact of an interdisciplinary integrated limb preservation service operating concurrently with a single‐specialty service. Journal of Foot and Ankle Research. 17(2). e12013–e12013. 4 indexed citations

Padula, William V., et al.. (2024). Comparative Effectiveness of Placental Allografts in the Treatment of Diabetic Lower Extremity Ulcers and Venous Leg Ulcers in U.S. Medicare Beneficiaries: A Retrospective Observational Cohort Study Using Real-World Evidence. Advances in Wound Care. 13(7). 350–362. 5 indexed citations

Sharma, Nitesh Kumar, Yesha Patel, Hovhannes J. Gukasyan, et al.. (2024). Pioneering Computational Culture Within Pharmacy Schools by Empowering Students With Data Science and Bioinformatics Skills. American Journal of Pharmaceutical Education. 89(2). 101341–101341.

Benjamin, David J., et al.. (2024). Cost effectiveness of immunotherapy combination therapies for endometrial cancer. Gynecologic Oncology Reports. 52. 101351–101351. 2 indexed citations

Pittman, Joyce, et al.. (2023). The Standardized Pressure Injury Prevention Protocol (SPIPP) Checklist 2.0: Content validation. Journal of Advanced Nursing. 80(6). 2584–2591. 5 indexed citations

Padula, William V., et al.. (2023). Cost-effectiveness of nirsevimab and palivizumab for respiratory syncytial virus prophylaxis in preterm infants 29–34 6/7 weeks' gestation in the United States. Pediatrics & Neonatology. 65(2). 152–158. 13 indexed citations

10.

Kapp, Suzanne, Marie Gerdtz, Charne Miller, et al.. (2023). The clinical and cost effectiveness of remote expert wound nurse consultation for healing of pressure injuries among residential aged care patients: A protocol for a prospective pilot parallel cluster randomised controlled trial. International Wound Journal. 20(8). 2953–2963. 2 indexed citations

11.

Kapp, Suzanne, Marie Gerdtz, Amit Gefen, et al.. (2023). Clinical and cost effectiveness of a system for turning and positioning intensive care unit patients, when compared to usual care turning and positioning devices, for the prevention of hospital‐acquired pressure injuries. A randomised controlled trial. International Wound Journal. 20(9). 3567–3579. 2 indexed citations

12.

Pronovost, Peter J., et al.. (2021). PIN21 The Cost-Utility of Remote Pulse-Oximeter Monitoring of COVID19 Patients. Value in Health. 24. S109–S109. 1 indexed citations

13.

Hahnel, Elisabeth, et al.. (2020). Cost‐effectiveness of multi‐layered silicone foam dressings for prevention of sacral and heel pressure ulcers in high‐risk intensive care unit patients: An economic analysis of a randomised controlled trial. International Wound Journal. 17(5). 1291–1299. 14 indexed citations

14.

Padula, William V.. (2019). State and Federal Policy Solutions to Rising Prescription Drug Prices in the U.S.. 22(1). 15. 2 indexed citations

15.

Padula, William V., et al.. (2019). Five‐layer border dressings as part of a quality improvement bundle to prevent pressure injuries in US skilled nursing facilities and Australian nursing homes: A cost‐effectiveness analysis. International Wound Journal. 16(6). 1263–1272. 14 indexed citations

16.

Padula, William V. & Benjo A. Delarmente. (2019). The national cost of hospital‐acquired pressure injuries in the United States. International Wound Journal. 16(3). 634–640. 387 indexed citations breakdown →

17.

Salamone, Salvatore J., R Becker, William V. Padula, & Rena M. Conti. (2017). The Cost-Effectiveness of Therapeutic Drug Monitoring (TDM) of Generic Imatinib for the Treatment of Chronic Myelogenous Leukemia. Blood. 130. 4701–4701. 1 indexed citations

18.

Hong, Jonathan, Ron Blankstein, Leslee J. Shaw, et al.. (2017). Implications of Coronary Artery Calcium Testing for Treatment Decisions Among Statin Candidates According to the ACC/AHA Cholesterol Management Guidelines. JACC. Cardiovascular imaging. 10(8). 938–952. 71 indexed citations

19.

Walia, Gurjot S., Alison Wong, Rachel Pedreira, et al.. (2016). Efficacy of Monitoring Devices in Support of Prevention of Pressure Injuries. Advances in Skin & Wound Care. 29(12). 567–574. 15 indexed citations

20.

Marshall, Deborah A., Maarten J. IJzerman, William H. Crown, et al.. (2015). Selecting a Dynamic Simulation Modeling Method for Health Care Delivery Research—Part 2: Report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force. Value in Health. 18(2). 147–160. 101 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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