Sara Wang

777 total citations
17 papers, 613 citations indexed

About

Sara Wang is a scholar working on Economics and Econometrics, General Health Professions and Family Practice. According to data from OpenAlex, Sara Wang has authored 17 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 6 papers in General Health Professions and 4 papers in Family Practice. Recurrent topics in Sara Wang's work include Healthcare Policy and Management (5 papers), Medication Adherence and Compliance (4 papers) and Primary Care and Health Outcomes (3 papers). Sara Wang is often cited by papers focused on Healthcare Policy and Management (5 papers), Medication Adherence and Compliance (4 papers) and Primary Care and Health Outcomes (3 papers). Sara Wang collaborates with scholars based in United States, Switzerland and Canada. Sara Wang's co-authors include Kevin Hawkins, Marcia F.T. Rupnow, Ron Z. Goetzel, Teresa B. Gibson, Tracy Li, Pantelis Panopalis, Ginger Smith Carls, Ronald J. Ozminkowski, Davina C. Ling and Fikry Isaac and has published in prestigious journals such as SHILAP Revista de lepidopterología, Health Affairs and Annals of Surgical Oncology.

In The Last Decade

Sara Wang

17 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Wang United States 11 219 147 137 102 93 17 613
T. Michelle Brown United States 17 107 0.5× 55 0.4× 83 0.6× 63 0.6× 84 0.9× 46 862
Krista Payne United States 14 106 0.5× 53 0.4× 86 0.6× 85 0.8× 66 0.7× 21 893
Julie Birt United States 22 214 1.0× 83 0.6× 223 1.6× 226 2.2× 455 4.9× 61 1.2k
Jiat Ling Poon United States 19 82 0.4× 67 0.5× 74 0.5× 109 1.1× 28 0.3× 73 974
Kafi N. Sanders United States 10 203 0.9× 96 0.7× 36 0.3× 79 0.8× 25 0.3× 17 641
Gerardo Machnicki United States 15 188 0.9× 83 0.6× 66 0.5× 93 0.9× 18 0.2× 42 790
Niklas Bergvall Switzerland 17 178 0.8× 112 0.8× 333 2.4× 80 0.8× 90 1.0× 32 1.1k
Vanessa Cox United States 12 109 0.5× 158 1.1× 61 0.4× 40 0.4× 244 2.6× 12 683
Dasha Cherepanov United States 15 166 0.8× 82 0.6× 50 0.4× 69 0.7× 40 0.4× 32 766
Yvonne van Eijk‐Hustings Netherlands 11 84 0.4× 120 0.8× 72 0.5× 50 0.5× 379 4.1× 31 660

Countries citing papers authored by Sara Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sara Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Wang

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

All Works

17 of 17 papers shown
1.
Parvez, Elena, Farzin Khosrow‐Khavar, Carolyn Nessim, et al.. (2022). Multicenter Adoption and Outcomes of Nodal Observation for Patients with Melanoma and Sentinel Lymph Node Metastases. Annals of Surgical Oncology. 30(2). 1195–1205. 7 indexed citations
2.
Manwani, Deepa, Arthur L. Burnett, Jincy Paulose, et al.. (2022). Treatment patterns and burden of complications associated with sickle cell disease: A US retrospective claims analysis. SHILAP Revista de lepidopterología. 3(4). 1135–1144. 10 indexed citations
3.
Hawkins, Kevin, Ronald J. Ozminkowski, Timothy S. Wells, et al.. (2015). Propensity to Succeed: Prioritizing Individuals Most Likely to Benefit from Care Coordination. Population Health Management. 18(6). 402–411. 9 indexed citations
4.
Hawkins, Kevin, Shirley Musich, Sara Wang, & Charlotte S. Yeh. (2015). The Impact of Loneliness on Quality-of-Life and Patient Satisfaction Among Sicker, Older Adults. American Journal of Geriatric Psychiatry. 23(3). S168–S169. 8 indexed citations
5.
Musich, Shirley, et al.. (2015). An Evaluation of the Well at Dell Health Management Program: Health Risk Change and Financial Return on Investment. American Journal of Health Promotion. 29(3). 147–157. 23 indexed citations
6.
Musich, Shirley, Sara Wang, & Kevin Hawkins. (2014). The Impact of a Value-Based Insurance Design Plus Health Coaching on Medication Adherence and Medical Spending. Population Health Management. 18(3). 151–158. 10 indexed citations
7.
Musich, Shirley, et al.. (2014). Personalized preventive care reduces healthcare expenditures among Medicare Advantage beneficiaries.. PubMed. 20(8). 613–20. 13 indexed citations
8.
Mahaffy, Joseph M., et al.. (2014). Geometry of Basins of Attraction and Heteroclinic Connections in Coupled Bistable Systems. International Journal of Bifurcation and Chaos. 24(10). 1430029–1430029. 3 indexed citations
9.
Hawkins, Kevin, Ronald J. Ozminkowski, Timothy S. Wells, et al.. (2013). Propensity to Succeed: A New Method to Identify Individuals Most Likely to Benefit from a Depression Management Program. American Journal of Geriatric Psychiatry. 21(3). S152–S153. 2 indexed citations
10.
Gibson, Teresa B., et al.. (2011). Regional Variation in Medication Adherence. Forum for Health Economics & Policy. 14(1). 3 indexed citations
11.
Gibson, Teresa B., et al.. (2011). A Value-Based Insurance Design Program At A Large Company Boosted Medication Adherence For Employees With Chronic Illnesses. Health Affairs. 30(1). 109–117. 54 indexed citations
12.
Gibson, Teresa B., Yonghua Jing, Edward Kim, et al.. (2010). Cost-sharing effects on adherence and persistence for second-generation antipsychotics in commercially insured patients.. PubMed. 19(8). 40–7. 21 indexed citations
13.
Li, Tracy, Ginger Smith Carls, Pantelis Panopalis, et al.. (2009). Long‐term medical costs and resource utilization in systemic lupus erythematosus and lupus nephritis: A five‐year analysis of a large medicaid population. Arthritis Care & Research. 61(6). 755–763. 95 indexed citations
14.
Hawkins, Kevin, Sara Wang, & Marcia F.T. Rupnow. (2008). Direct Cost Burden Among Insured US Employees With Migraine. Headache The Journal of Head and Face Pain. 48(4). 553–563. 128 indexed citations
15.
Foster, Shonda A., Kathleen A. Foley, Eric S. Meadows, et al.. (2008). Characteristics of patients initiating raloxifene compared to those initiating bisphosphonates. BMC Women s Health. 8(1). 18 indexed citations
16.
Hawkins, Kevin, Sara Wang, & Marcia F.T. Rupnow. (2007). Indirect Cost Burden of Migraine in the United States. Journal of Occupational and Environmental Medicine. 49(4). 368–374. 113 indexed citations
17.
Ozminkowski, Ronald J., et al.. (2002). Long-Term Impact of Johnson & Johnson???s Health & Wellness Program on Health Care Utilization and Expenditures. Journal of Occupational and Environmental Medicine. 44(1). 21–29. 96 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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