Julie Sakowski

607 total citations
18 papers, 446 citations indexed

About

Julie Sakowski is a scholar working on Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Julie Sakowski has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 6 papers in General Health Professions and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Julie Sakowski's work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Patient Safety and Medication Errors (4 papers) and Healthcare Policy and Management (4 papers). Julie Sakowski is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (5 papers), Patient Safety and Medication Errors (4 papers) and Healthcare Policy and Management (4 papers). Julie Sakowski collaborates with scholars based in United States, United Kingdom and India. Julie Sakowski's co-authors include Kathryn A. Phillips, Jeffrey M. Newman, Su‐Ying Liang, David L. Veenstra, Peter J. Neumann, Julia R. Trosman, Michael P. Douglas, Stephanie Van Bebber, Jennifer S. Haas and Charles I. Berul and has published in prestigious journals such as Health Affairs, Genetics in Medicine and Heart Rhythm.

In The Last Decade

Julie Sakowski

18 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie Sakowski United States	13	142	83	81	72	52	18	446
Kim Saverno United States	11	117 0.8×	65 0.8×	30 0.4×	55 0.8×	66 1.3×	29	500
Eli J. Korner United States	11	108 0.8×	88 1.1×	51 0.6×	37 0.5×	102 2.0×	20	651
Susan Andrade United States	9	34 0.2×	36 0.4×	74 0.9×	35 0.5×	74 1.4×	12	519
Jildou Sijbrandij Netherlands	8	78 0.5×	151 1.8×	19 0.2×	29 0.4×	13 0.3×	13	423
John Valgus United States	14	111 0.8×	59 0.7×	52 0.6×	5 0.1×	88 1.7×	36	643
Aarthi Iyer United States	10	81 0.6×	34 0.4×	11 0.1×	34 0.5×	85 1.6×	15	411
Helen Blumen United States	7	96 0.7×	48 0.6×	32 0.4×	9 0.1×	105 2.0×	8	357
R Fitzpatrick United Kingdom	11	182 1.3×	68 0.8×	8 0.1×	12 0.2×	31 0.6×	28	440
Carole Chambers Canada	17	102 0.7×	35 0.4×	45 0.6×	18 0.3×	205 3.9×	58	677
Anna Bergkvist Sweden	8	64 0.5×	42 0.5×	125 1.5×	30 0.4×	59 1.1×	11	627

Countries citing papers authored by Julie Sakowski

Since Specialization

Citations

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

Fields of papers citing papers by Julie Sakowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Sakowski

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

All Works

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18 of 18 papers shown

Sakowski, Julie, et al.. (2020). Implementing an Incremental Approach for Developing Leadership and Professionalism Skills Among Early Careerists in the Health Administration Curriculum. 37(1). 89–104. 2 indexed citations

Phillips, Kathryn A., Julie Sakowski, Julia R. Trosman, et al.. (2013). The economic value of personalized medicine tests: what we know and what we need to know. Genetics in Medicine. 16(3). 251–257. 76 indexed citations

Phillips, Kathryn A., Julie Sakowski, Su‐Ying Liang, & Ninez A. Ponce. (2013). Economic Perspectives on Personalized Health Care and Prevention. Forum for Health Economics & Policy. 16(2). S23–S52. 13 indexed citations

Sakowski, Julie, et al.. (2013). The cost of implementing inpatient bar code medication administration.. PubMed. 19(2). e38–45. 14 indexed citations

Sakowski, Julie, et al.. (2012). Partners Advancing Clinical Excellence: Building Professional Councils for Quality Improvement at Six Community Hospitals. Creative Nursing. 18(4). 177–186. 4 indexed citations

Brody, Abraham A., et al.. (2011). Evidence-Based Practice Councils. JONA The Journal of Nursing Administration. 42(1). 28–33. 26 indexed citations

Sakowski, Julie, et al.. (2011). Improving adherence to best-practice guidelines for venous thromboembolism risk assessment and prevention. American Journal of Health-System Pharmacy. 68(22). 2184–2188. 18 indexed citations

Sakowski, Julie, James G. Kahn, Richard Kronick, Jeffrey M. Newman, & Harold S. Luft. (2009). Peering Into The Black Box: Billing And Insurance Activities In A Medical Group. Health Affairs. 28(Supplement 1). w544–w554. 39 indexed citations

Sakowski, Julie, et al.. (2008). Severity of medication administration errors detected by a bar-code medication administration system. American Journal of Health-System Pharmacy. 65(17). 1661–1666. 40 indexed citations

10.

Sakowski, Julie, et al.. (2005). Using a bar-coded medication administration system to prevent medication errors in a community hospital network. American Journal of Health-System Pharmacy. 62(24). 2619–2625. 37 indexed citations

11.

Phillips, Kathryn A., Michael J. Ackerman, Julie Sakowski, & Charles I. Berul. (2005). Cost-effectiveness analysis of genetic testing for familial long QT syndrome in symptomatic index cases. Heart Rhythm. 2(12). 1294–1300. 34 indexed citations

12.

Sakowski, Julie, et al.. (2005). A qualitative study of insurers' coverage for mifepristone-induced abortion.. PubMed. 18(3). 26–30, 32. 2 indexed citations

13.

Liang, Su‐Ying, et al.. (2004). Does patient cost sharing matter? Its impact on recommended versus controversial cancer screening services.. PubMed. 10(2 Pt 1). 99–107. 24 indexed citations

14.

Phillips, Kathryn A., Jennifer S. Haas, Su‐Ying Liang, et al.. (2004). Are Gatekeeper Requirements Associated with Cancer Screening Utilization?. Health Services Research. 39(1). 153–178. 34 indexed citations

15.

Phillips, Kathryn A., David L. Veenstra, Scott D. Ramsey, Stephanie L. Van Bebber, & Julie Sakowski. (2004). Genetic testing and pharmacogenomics: issues for determining the impact to healthcare delivery and costs.. PubMed. 10(7 Pt 1). 425–32. 37 indexed citations

16.

Sakowski, Julie, Kathryn A. Phillips, Su‐Ying Liang, & Jennifer S. Haas. (2004). Willingness to recommend a health plan: who is dissatisfied and what don't they like?. PubMed. 10(6). 393–400. 4 indexed citations

17.

Phillips, Kathryn E., Stephanie Van Bebber, David L. Veenstra, & Julie Sakowski. (2003). The Economics of Pharmacogenomics. 1(4). 277–284. 6 indexed citations

18.

Phillips, Kathryn A., David L. Veenstra, Stephanie Van Bebber, & Julie Sakowski. (2003). An introduction to cost-effectiveness and cost–benefit analysis of pharmacogenomics. Pharmacogenomics. 4(3). 231–239. 36 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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