Reem AL‐Dossary

738 total citations
27 papers, 485 citations indexed

About

Reem AL‐Dossary is a scholar working on General Health Professions, Clinical Psychology and Research and Theory. According to data from OpenAlex, Reem AL‐Dossary has authored 27 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 9 papers in Clinical Psychology and 5 papers in Research and Theory. Recurrent topics in Reem AL‐Dossary's work include Healthcare professionals’ stress and burnout (6 papers), Patient Safety and Medication Errors (5 papers) and COVID-19 and Mental Health (5 papers). Reem AL‐Dossary is often cited by papers focused on Healthcare professionals’ stress and burnout (6 papers), Patient Safety and Medication Errors (5 papers) and COVID-19 and Mental Health (5 papers). Reem AL‐Dossary collaborates with scholars based in Saudi Arabia, Kazakhstan and United States. Reem AL‐Dossary's co-authors include Panagiota Kitsantas, Fraser Macfarlane, Rawaih Falatah, Majed Alamri, Joseph U. Almazan, Hamdan Albaqawi, Khalid A. Aljohani, Noura Almadani, Mohammed Aljeldah and Turki M Alanzi and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Reem AL‐Dossary

26 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reem AL‐Dossary Saudi Arabia 10 236 128 119 80 63 27 485
Rawaih Falatah Saudi Arabia 9 255 1.1× 177 1.4× 69 0.6× 57 0.7× 89 1.4× 16 453
Marla J. Weston United States 14 308 1.3× 91 0.7× 142 1.2× 74 0.9× 71 1.1× 32 548
Alexandre Pazetto Balsanelli Brazil 15 338 1.4× 136 1.1× 99 0.8× 101 1.3× 78 1.2× 84 642
Robert Lovrić Croatia 14 212 0.9× 172 1.3× 111 0.9× 42 0.5× 34 0.5× 42 566
Ratanawadee Chontawan Thailand 12 324 1.4× 108 0.8× 67 0.6× 44 0.6× 94 1.5× 28 545
Michael Gates United States 13 276 1.2× 57 0.4× 110 0.9× 128 1.6× 53 0.8× 17 538
Mae Squires Canada 9 242 1.0× 58 0.5× 130 1.1× 107 1.3× 95 1.5× 12 464
Marie Carney Ireland 14 315 1.3× 45 0.4× 103 0.9× 79 1.0× 66 1.0× 26 489
Kaitlyn Tate Canada 11 472 2.0× 134 1.0× 226 1.9× 104 1.3× 160 2.5× 27 782
Gail Donner Canada 11 468 2.0× 85 0.7× 133 1.1× 135 1.7× 76 1.2× 40 733

Countries citing papers authored by Reem AL‐Dossary

Since Specialization
Citations

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

Fields of papers citing papers by Reem AL‐Dossary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reem AL‐Dossary. 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 Reem AL‐Dossary. The network helps show where Reem AL‐Dossary may publish in the future.

Co-authorship network of co-authors of Reem AL‐Dossary

This figure shows the co-authorship network connecting the top 25 collaborators of Reem AL‐Dossary. A scholar is included among the top collaborators of Reem AL‐Dossary 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 Reem AL‐Dossary. Reem AL‐Dossary 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.
Albaqawi, Hamdan, Majed Alamri, Reem AL‐Dossary, et al.. (2025). Exploring the impact of self-efficacy social support and learning environment on clinical performance anxiety in student nurses. Scientific Reports. 15(1). 8663–8663. 1 indexed citations
2.
AL‐Dossary, Reem, et al.. (2024). Addressing Malnutrition in Elderly Patients Using Biochemical Markers: The Role of Nurses in Nutrition Screening and Intervention. Egyptian Journal of Chemistry. 67(13). 1631–1643. 1 indexed citations
3.
AL‐Dossary, Reem, et al.. (2023). Proposing a Method Based on Artificial Neural Network for Predicting Alignment between the Saudi Nursing Workforce and the Gig Framework. Sustainability. 15(17). 12728–12728. 1 indexed citations
4.
AL‐Dossary, Reem. (2023). Nurses’ Perceptions of the Clinical Decision Support System Effect on Patient Safety. Safety. 9(4). 86–86. 1 indexed citations
5.
Aljohani, Khalid A., Majed Alamri, Reem AL‐Dossary, et al.. (2022). Scope of Nursing Practice as Perceived by Nurses Working in Saudi Arabia. International Journal of Environmental Research and Public Health. 19(7). 4220–4220. 8 indexed citations
6.
AL‐Dossary, Reem, Maram Banakhar, Majed Alamri, et al.. (2022). The relationship between nurses' risk assessment and management, fear perception, and mental wellbeing during the COVID-19 pandemic in Saudi Arabia. Frontiers in Public Health. 10. 992466–992466. 6 indexed citations
7.
AL‐Dossary, Reem. (2022). Investigating the feasibility of applying the gig economy framework in the nursing profession towards the Saudi Arabian Vision 2030. Informatics in Medicine Unlocked. 30. 100921–100921. 6 indexed citations
8.
9.
AL‐Dossary, Reem. (2022). Leadership Style, Work Engagement and Organizational Commitment Among Nurses in Saudi Arabian Hospitals. Journal of Healthcare Leadership. Volume 14. 71–81. 31 indexed citations
10.
AL‐Dossary, Reem. (2022). The effects of nursing work environment on patient safety in Saudi Arabian hospitals. Frontiers in Medicine. 9. 872091–872091. 7 indexed citations
11.
Alamri, Majed, Mohammed Aljeldah, Reem AL‐Dossary, et al.. (2021). Practice and Attitude of Nursing Students towards Electronic Learning during COVID-19 Pandemic. International Journal of Medical Research & Health Sciences. 10(4). 89–96.
12.
Alanzi, Turki M, et al.. (2021). Evaluation of the Mawid mobile healthcare application in delivering services during the COVID-19 pandemic in Saudi Arabia. International Health. 14(2). 142–151. 21 indexed citations
13.
Alanezi, Fahad, et al.. (2021). Opinions of healthcare leaders on the barriers and challenges of using social media in Saudi Arabian healthcare settings. Informatics in Medicine Unlocked. 23. 100543–100543. 3 indexed citations
14.
Alanezi, Fahad, et al.. (2021). A comparative study of strategies for containing the COVID-19 pandemic in Gulf Cooperation Council countries and the European Union. Informatics in Medicine Unlocked. 23. 100547–100547. 9 indexed citations
15.
Shalaby, Mohammed Nader, et al.. (2020). THE EFFECTS OF EXERCISE PROGRAM AND DIETARY SUPPLEMENT ON THE EFFICIENCY OF THE DYNAMIC SYSTEM IN OLD FEMALES. PalArch's Journal of Archaeology of Egypt / Egyptology. 17(4). 739–756. 1 indexed citations
16.
AL‐Dossary, Reem, Majed Alamri, Hamdan Albaqawi, et al.. (2020). Awareness, Attitudes, Prevention, and Perceptions of COVID-19 Outbreak among Nurses in Saudi Arabia. International Journal of Environmental Research and Public Health. 17(21). 8269–8269. 58 indexed citations
17.
AL‐Dossary, Reem, et al.. (2015). Clinical decision-making among new graduate nurses attending residency programs in Saudi Arabia. Applied Nursing Research. 29. 25–30. 23 indexed citations
18.
AL‐Dossary, Reem, et al.. (2015). Residency Programs and Clinical Leadership Skills Among New Saudi Graduate Nurses. Journal of Professional Nursing. 32(2). 152–158. 21 indexed citations
19.
AL‐Dossary, Reem, et al.. (2013). The impact of residency programs on new nurse graduates' clinical decision-making and leadership skills: A systematic review. Nurse Education Today. 34(6). 1024–1028. 85 indexed citations
20.
AL‐Dossary, Reem, et al.. (2012). Job satisfaction of nurses in a Saudi Arabian university teaching hospital: a cross‐sectional study. International Nursing Review. 59(3). 424–430. 72 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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