Mayde Rosen

1.5k total citations
19 papers, 1.2k citations indexed

About

Mayde Rosen is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Mayde Rosen has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Epidemiology. Recurrent topics in Mayde Rosen's work include Health Policy Implementation Science (4 papers), Chronic Disease Management Strategies (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Mayde Rosen is often cited by papers focused on Health Policy Implementation Science (4 papers), Chronic Disease Management Strategies (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Mayde Rosen collaborates with scholars based in United States. Mayde Rosen's co-authors include Kitty S. Chan, Rita Mangione‐Smith, Emmett B. Keeler, Jill A. Marsteller, Stephen M. Shortell, Marjorie L. Pearson, Peter Mendel, Matthias Schonlau, James W. Varni and Tasha M. Burwinkle and has published in prestigious journals such as Medical Care, Journal of Pharmaceutical Sciences and Journal of General Internal Medicine.

In The Last Decade

Mayde Rosen

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mayde Rosen United States	12	599	272	182	145	128	19	1.2k
Jim Bellows United States	19	717 1.2×	357 1.3×	60 0.3×	258 1.8×	214 1.7×	33	1.4k
Marcia Vervloet Netherlands	14	615 1.0×	118 0.4×	216 1.2×	139 1.0×	145 1.1×	51	1.5k
Geva Greenfield United Kingdom	19	857 1.4×	196 0.7×	87 0.5×	89 0.6×	191 1.5×	76	1.5k
Marjorie L. Pearson United States	22	1.1k 1.9×	324 1.2×	99 0.5×	148 1.0×	263 2.1×	53	2.0k
Sharifa Ezat Wan Puteh Malaysia	18	215 0.4×	155 0.6×	110 0.6×	130 0.9×	108 0.8×	103	1.1k
John Litt Australia	18	632 1.1×	223 0.8×	89 0.5×	80 0.6×	81 0.6×	51	1.3k
Valerie Overton United States	12	688 1.1×	368 1.4×	59 0.3×	310 2.1×	156 1.2×	16	1.2k
Jennifer Newbould United Kingdom	17	588 1.0×	170 0.6×	80 0.4×	126 0.9×	116 0.9×	47	911
Paul Nutting United States	11	698 1.2×	181 0.7×	43 0.2×	89 0.6×	167 1.3×	19	1.3k
Christine Walker Australia	22	358 0.6×	326 1.2×	155 0.9×	235 1.6×	99 0.8×	94	1.3k

Countries citing papers authored by Mayde Rosen

Since Specialization

Citations

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

Fields of papers citing papers by Mayde Rosen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayde Rosen

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Wenger, Neil S., Carol P. Roth, William J. Hall, et al.. (2010). Practice Redesign to Improve Care for Falls and Urinary Incontinence. Archives of Internal Medicine. 170(19). 3 indexed citations

Wenger, Neil S., Carol P. Roth, William J. Hall, et al.. (2010). Practice redesign to improve care for falls and urinary incontinence: primary care intervention for older patients.. PubMed. 170(19). 1765–72. 28 indexed citations

Marsteller, Jill A., Stephen M. Shortell, Michael Lin, et al.. (2007). How Do Teams in Quality Improvement Collaboratives Interact?. The Joint Commission Journal on Quality and Patient Safety. 33(5). 267–276. 20 indexed citations

Vargas, Roberto, Carol M. Mangione, Steven M. Asch, et al.. (2007). Can a Chronic Care Model Collaborative Reduce Heart Disease Risk in Patients with Diabetes?. Journal of General Internal Medicine. 22(2). 215–222. 80 indexed citations

Pearson, Marjorie L., Shinyi Wu, Judith Schaefer, et al.. (2005). Assessing the Implementation of the Chronic Care Model in Quality Improvement Collaboratives. Health Services Research. 40(4). 978–996. 166 indexed citations

Chan, Kitty S., Rita Mangione‐Smith, Tasha M. Burwinkle, Mayde Rosen, & James W. Varni. (2005). The PedsQL???. Medical Care. 43(3). 256–265. 218 indexed citations

Mangione‐Smith, Rita, Matthias Schonlau, Kitty S. Chan, et al.. (2005). Measuring the Effectiveness of a Collaborative for Quality Improvement in Pediatric Asthma Care: Does Implementing the Chronic Care Model Improve Processes and Outcomes of Care?. Ambulatory Pediatrics. 5(2). 75–82. 103 indexed citations

Asch, Steven M., David W. Baker, Joan Keesey, et al.. (2005). Does the Collaborative Model Improve Care for Chronic Heart Failure?. Medical Care. 43(7). 667–675. 78 indexed citations

Bell, Douglas S., Shan Cretin, Richard S. Marken, et al.. (2005). Electronic Prescribing Systems. 1 indexed citations

10.

Chan, Kitty S., Emmett B. Keeler, Matthias Schonlau, Mayde Rosen, & Rita Mangione‐Smith. (2005). How Do Ethnicity and Primary Language Spoken at Home Affect Management Practices and Outcomes in Children and Adolescents With Asthma?. Archives of Pediatrics and Adolescent Medicine. 159(3). 283–283. 64 indexed citations

11.

Asch, Steven M., David W. Baker, Joan Keesey, et al.. (2005). Does the Collaborative Model Improve Care for Chronic Heart Failure?. 1 indexed citations

12.

Bell, Douglas S., Shan Cretin, Richard S. Marken, et al.. (2005). Electronic Prescribing Systems: Making It Safer to Take Your Medicine?. RAND Corporation eBooks. 1 indexed citations

13.

Lin, Michael, Jill A. Marsteller, Stephen M. Shortell, et al.. (2005). Motivation to change chronic illness care: results from a national evaluation of quality improvement collaboratives.. PubMed. 30(2). 139–56. 36 indexed citations

14.

Shortell, Stephen M., Jill A. Marsteller, Michael Lin, et al.. (2004). The Role of Perceived Team Effectiveness in Improving Chronic Illness Care. Medical Care. 42(11). 1040–1048. 292 indexed citations

15.

Bell, Douglas S., et al.. (2004). Recommendations For Comparing Electronic Prescribing Systems: Results Of An Expert Consensus Process. Health Affairs. 23(Suppl1). W4–305. 46 indexed citations

16.

Bell, Douglas S., Richard S. Marken, Robin Meili, et al.. (2004). Recommendations for Comparing Electronic Prescribing Systems. 2 indexed citations

17.

Skillman, John J., et al.. (2000). Improving cost efficiency on a vascular surgery service. The American Journal of Surgery. 179(3). 197–200. 9 indexed citations

18.

Pankow, James F. & Mayde Rosen. (1984). The Analysis of volatile compounds by purge and trap with whole column cryotrapping (WCC) on a fused silica capillary column. Journal of High Resolution Chromatography. 7(9). 504–508. 33 indexed citations

19.

Hanna, Suzan K., et al.. (1977). Analysis of Homatropine Methylbromide Dosage Forms. Journal of Pharmaceutical Sciences. 66(1). 123–124. 3 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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