Christina Daw

1.0k total citations · 1 hit paper
8 papers, 800 citations indexed

About

Christina Daw is a scholar working on General Health Professions, Economics and Econometrics and Radiological and Ultrasound Technology. According to data from OpenAlex, Christina Daw has authored 8 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 4 papers in Economics and Econometrics and 2 papers in Radiological and Ultrasound Technology. Recurrent topics in Christina Daw's work include Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (4 papers) and Global Health Care Issues (2 papers). Christina Daw is often cited by papers focused on Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (4 papers) and Global Health Care Issues (2 papers). Christina Daw collaborates with scholars based in United States. Christina Daw's co-authors include Laura A. Petersen, Tracy Urech, LeChauncy Woodard, Margaret M. Byrne, Kenneth Pietz, Xuanwen Wang, Xiuwen Sue Dong, Brian Reis, Knut Ringen and Z. Rosenwaks and has published in prestigious journals such as Annals of Internal Medicine, Fertility and Sterility and Medical Care.

In The Last Decade

Christina Daw

8 papers receiving 745 citations

Hit Papers

Does Pay-for-Performance ... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Daw United States 6 582 513 87 71 61 8 800
Kevin Kenward United States 13 384 0.7× 232 0.5× 82 0.9× 39 0.5× 86 1.4× 20 689
Douglas McCarthy United States 17 635 1.1× 397 0.8× 194 2.2× 34 0.5× 126 2.1× 73 957
Carol VanDeusen Lukas United States 17 550 0.9× 160 0.3× 69 0.8× 40 0.6× 155 2.5× 27 883
Carolyn W. Madden United States 10 319 0.5× 347 0.7× 46 0.5× 26 0.4× 29 0.5× 18 608
Steven Garfinkel United States 15 488 0.8× 231 0.5× 209 2.4× 20 0.3× 82 1.3× 42 827
Daniel J. Niven Canada 14 413 0.7× 251 0.5× 51 0.6× 78 1.1× 103 1.7× 37 680
Maulik Joshi United States 15 453 0.8× 236 0.5× 82 0.9× 49 0.7× 117 1.9× 30 994
Sally K. Holmes United States 13 590 1.0× 121 0.2× 75 0.9× 28 0.4× 128 2.1× 19 848
Maureen Bisognano United States 12 617 1.1× 361 0.7× 81 0.9× 25 0.4× 167 2.7× 31 1.0k
Janet Tomcavage United States 13 510 0.9× 353 0.7× 280 3.2× 16 0.2× 65 1.1× 25 794

Countries citing papers authored by Christina Daw

Since Specialization
Citations

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

Fields of papers citing papers by Christina Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Daw

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

All Works

8 of 8 papers shown
1.
Byrne, Margaret M., et al.. (2013). Creating peer groups for assessing and comparing nursing home performance.. PubMed Central. 19(11). 933–9. 5 indexed citations
2.
Dong, Xiuwen Sue, Xuanwen Wang, Christina Daw, & Knut Ringen. (2011). Chronic Diseases and Functional Limitations Among Older Construction Workers in the United States. Journal of Occupational and Environmental Medicine. 53(4). 372–380. 54 indexed citations
3.
Daw, Christina, et al.. (2011). Semen hyperviscosity treatment and IUI outcome. Fertility and Sterility. 96(3). S266–S267. 2 indexed citations
4.
Dong, Xiuwen Sue, Xuanwen Wang, & Christina Daw. (2011). Fatal Falls Among Older Construction Workers. Human Factors The Journal of the Human Factors and Ergonomics Society. 54(3). 303–315. 35 indexed citations
5.
Petersen, Laura A., et al.. (2010). Relationship between Clinical Conditions and Use of Veterans Affairs Health Care among Medicare‐Enrolled Veterans. Health Services Research. 45(3). 762–791. 126 indexed citations
6.
Byrne, Margaret M., et al.. (2008). Method to Develop Health Care Peer Groups for Quality and Financial Comparisons Across Hospitals. Health Services Research. 44(2p1). 577–592. 21 indexed citations
7.
Pietz, Kenneth, Margaret M. Byrne, Christina Daw, & Laura A. Petersen. (2007). The Effect of Referral and Transfer Patients on Hospital Funding in a Capitated Health Care Delivery System. Medical Care. 45(10). 951–958. 8 indexed citations
8.
Petersen, Laura A., et al.. (2006). Does Pay-for-Performance Improve the Quality of Health Care?. Annals of Internal Medicine. 145(4). 265–272. 549 indexed citations breakdown →

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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