Marguerite Daus

647 total citations
24 papers, 429 citations indexed

About

Marguerite Daus is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Family Practice. According to data from OpenAlex, Marguerite Daus has authored 24 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Family Practice. Recurrent topics in Marguerite Daus's work include Geriatric Care and Nursing Homes (6 papers), Heart Failure Treatment and Management (6 papers) and Medication Adherence and Compliance (4 papers). Marguerite Daus is often cited by papers focused on Geriatric Care and Nursing Homes (6 papers), Heart Failure Treatment and Management (6 papers) and Medication Adherence and Compliance (4 papers). Marguerite Daus collaborates with scholars based in United States, Sweden and Italy. Marguerite Daus's co-authors include Bárbara Riegel, Solim Lee, Claudio Barbaranelli, Kristen A. Sethares, Debra K. Moser, Jennifer Miller, Onome Osokpo, Tiny Jaarsma, Anna Strömberg and Ercole Vellone and has published in prestigious journals such as Circulation, Medical Care and American Heart Journal.

In The Last Decade

Marguerite Daus

20 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marguerite Daus United States 10 171 144 111 71 64 24 429
Onome Osokpo United States 6 165 1.0× 117 0.8× 112 1.0× 94 1.3× 78 1.2× 15 429
Solim Lee United States 6 174 1.0× 118 0.8× 91 0.8× 54 0.8× 51 0.8× 8 387
Valentina Zeffiro Italy 10 170 1.0× 49 0.3× 80 0.7× 27 0.4× 49 0.8× 26 307
Marco Paturzo Italy 13 395 2.3× 107 0.7× 129 1.2× 42 0.6× 65 1.0× 17 584
Maria Liljeroos Sweden 12 276 1.6× 92 0.6× 90 0.8× 21 0.3× 17 0.3× 39 434
Hiba Deek Lebanon 10 112 0.7× 74 0.5× 55 0.5× 24 0.3× 16 0.3× 24 312
Irene D. Bos-Touwen Netherlands 7 69 0.4× 131 0.9× 138 1.2× 146 2.1× 22 0.3× 8 350
Laura M. Hays United States 11 145 0.8× 199 1.4× 74 0.7× 229 3.2× 77 1.2× 13 596
Binu Koirala United States 12 153 0.9× 128 0.9× 49 0.4× 26 0.4× 17 0.3× 51 431
Francesco Pittella Italy 12 83 0.5× 212 1.5× 68 0.6× 69 1.0× 15 0.2× 36 500

Countries citing papers authored by Marguerite Daus

Since Specialization
Citations

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

Fields of papers citing papers by Marguerite Daus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marguerite Daus

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

All Works

20 of 20 papers shown
1.
Daus, Marguerite, Meaghan A. Kennedy, Kirstin Manges, et al.. (2025). An Innovative Nurse Navigator Approach to Screen For and Address Social Needs in a Veterans Health Administration Women’s Health Clinic. Medical Care. 64(1S). S82–S90.
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Cornell, Portia Y., et al.. (2024). Using social risks to predict unplanned hospital readmission and emergency care among hospitalized Veterans. Health Services Research. 60(1). e14353–e14353. 1 indexed citations
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6.
Salahuddin, Taufiq, Marguerite Daus, Utibe R. Essien, et al.. (2023). Trends and site-level variation of novel cardiovascular medication utilization among patients admitted for heart failure or coronary artery disease in the US Veterans Affairs System: 2017-2021. American Heart Journal. 268. 68–79. 2 indexed citations
7.
Hess, Edward, et al.. (2023). Conducting health services research during the COVID-19 pandemic: experiences from the veterans health administration. BMC Health Services Research. 23(1). 1267–1267. 1 indexed citations
8.
Daus, Marguerite, Karen Albright, & Christine D. Jones. (2023). Disseminating results to participants: An obligation to those who make research possible. Journal of Hospital Medicine. 18(9). 853–855. 1 indexed citations
9.
Carthon, J. Margo Brooks, Heather Brom, Matthew D. McHugh, et al.. (2021). Racial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing. Nursing Research. 71(1). 33–42. 11 indexed citations
10.
Baah, Foster Osei, Jesse Chittams, Beverly Carlson, et al.. (2021). Sociodemographic Indicators of Social Position and Self-care Maintenance in Adults with Heart Failure. Clinical Nursing Research. 30(6). 847–854. 11 indexed citations
11.
Giordano, Nicholas A., Rachel French, Marguerite Daus, et al.. (2021). Comparing medication adherence using a smartphone application and electronic monitoring among patients with acute coronary syndrome. Applied Nursing Research. 60. 151448–151448. 2 indexed citations
12.
Riegel, Bárbara, et al.. (2020). A behavioral economics‐based telehealth intervention to improve aspirin adherence following hospitalization for acute coronary syndrome. Pharmacoepidemiology and Drug Safety. 29(5). 513–517. 18 indexed citations
13.
Carthon, J. Margo Brooks, Heather Brom, Lusine Poghosyan, et al.. (2020). Supportive Clinical Practice Environments Associated With Patient-Centered Care. The Journal for Nurse Practitioners. 16(4). 294–298. 26 indexed citations
14.
Maria, Maddalena De, Maria Matarese, Anna Strömberg, et al.. (2019). Cross-cultural assessment of the Self-Care of Chronic Illness Inventory: A psychometric evaluation. International Journal of Nursing Studies. 116. 103422–103422. 50 indexed citations
15.
Riegel, Bárbara, Solim Lee, Julia Hill, et al.. (2019). Patterns of adherence to diuretics, dietary sodium and fluid intake recommendations in adults with heart failure. Heart & Lung. 48(3). 179–185. 34 indexed citations
16.
Riegel, Bárbara, Marguerite Daus, Alicia Lozano, et al.. (2019). Shift Workers Have Higher Blood Pressure Medicine Use, But Only When They Are Short Sleepers: A Longitudinal UK Biobank Study. Journal of the American Heart Association. 8(20). e013269–e013269. 20 indexed citations
17.
Riegel, Bárbara, Claudio Barbaranelli, Kristen A. Sethares, et al.. (2018). Development and initial testing of the self‐care of chronic illness inventory. Journal of Advanced Nursing. 74(10). 2465–2476. 96 indexed citations
18.
Riegel, Bárbara, Victoria Vaughan Dickson, Christopher S. Lee, et al.. (2018). A mixed methods study of symptom perception in patients with chronic heart failure. Heart & Lung. 47(2). 107–114. 37 indexed citations
19.
Riegel, Bárbara, Claudio Barbaranelli, Beverly Carlson, et al.. (2018). Psychometric Testing of the Revised Self-Care of Heart Failure Index. The Journal of Cardiovascular Nursing. 34(2). 183–192. 104 indexed citations
20.
Lee, Solim, et al.. (2017). Abstract 17102: Why Don’t Heart Failure Patients Respond to Early Symptoms? Determinants of Symptom Perception. Circulation. 1 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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