Marjan Askari

1.3k total citations
55 papers, 868 citations indexed

About

Marjan Askari is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marjan Askari has authored 55 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in General Health Professions, 13 papers in Health Information Management and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marjan Askari's work include Mobile Health and mHealth Applications (13 papers), Electronic Health Records Systems (10 papers) and Technology Use by Older Adults (8 papers). Marjan Askari is often cited by papers focused on Mobile Health and mHealth Applications (13 papers), Electronic Health Records Systems (10 papers) and Technology Use by Older Adults (8 papers). Marjan Askari collaborates with scholars based in Netherlands, Iran and Brazil. Marjan Askari's co-authors include Ameen Abu‐Hanna, Stephanie Medlock, Evert de Jonge, Saeid Eslami, Joris van de Klundert, Danielle Sent, Derk L. Arts, Saied Eslami, Peter C. Wierenga and Mohsen Nikbakht and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Clinical Gastroenterology and Hepatology.

In The Last Decade

Marjan Askari

51 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjan Askari Netherlands 16 317 149 114 103 85 55 868
Mary Etta Mills United States 19 439 1.4× 96 0.6× 176 1.5× 25 0.2× 199 2.3× 89 1.2k
Shira H. Fischer United States 16 596 1.9× 176 1.2× 452 4.0× 126 1.2× 151 1.8× 54 1.3k
Yang Gong United States 17 257 0.8× 53 0.4× 139 1.2× 76 0.7× 340 4.0× 132 979
Derk L. Arts Netherlands 12 184 0.6× 58 0.4× 83 0.7× 24 0.2× 51 0.6× 25 713
Lisa P. Newmark United States 14 430 1.4× 57 0.4× 156 1.4× 79 0.8× 284 3.3× 25 889
Joshua E. Richardson United States 19 485 1.5× 68 0.5× 263 2.3× 36 0.3× 346 4.1× 52 1.1k
Laurie L. Novak United States 19 374 1.2× 45 0.3× 219 1.9× 45 0.4× 357 4.2× 67 1.3k
Ben-Tzion Karsh United States 7 256 0.8× 50 0.3× 96 0.8× 35 0.3× 254 3.0× 8 798
Suleman Atique Taiwan 15 98 0.3× 43 0.3× 129 1.1× 59 0.6× 56 0.7× 34 791

Countries citing papers authored by Marjan Askari

Since Specialization
Citations

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

Fields of papers citing papers by Marjan Askari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan Askari

This figure shows the co-authorship network connecting the top 25 collaborators of Marjan Askari. A scholar is included among the top collaborators of Marjan Askari 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 Marjan Askari. Marjan Askari 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.
Sanders‐Pinheiro, Helady, et al.. (2023). Evaluación del uso de la Aplicación Renal Health por parte de los receptores de trasplante renal. Revista Latino-Americana de Enfermagem. 31.
2.
Sanders‐Pinheiro, Helady, et al.. (2023). Evaluation of the use of a Renal Health application by kidney transplant recipients. Revista Latino-Americana de Enfermagem. 31. e3822–e3822. 4 indexed citations
3.
Klundert, Joris van de, et al.. (2023). The intention to use mHealth applications among Dutch older adults prior and during the COVID pandemic. Frontiers in Public Health. 11. 1130570–1130570. 4 indexed citations
4.
Nieboer, Anna P., et al.. (2022). Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study. BMC Geriatrics. 22(1). 449–449. 32 indexed citations
5.
6.
Elten, Hilco J. van, et al.. (2021). eHealth Applications to Support Independent Living of Older Persons: Scoping Review of Costs and Benefits Identified in Economic Evaluations. Journal of Medical Internet Research. 23(3). e24363–e24363. 27 indexed citations
7.
Kong, Qingxia, et al.. (2021). Factors Affecting Portal Usage Among Chronically Ill Patients During the COVID-19 Pandemic in the Netherlands: Cross-sectional Study. JMIR Human Factors. 8(3). e26003–e26003. 6 indexed citations
8.
Silva, Geraldo Bezerra da, et al.. (2020). The Renal Health Instagram: An Analysis of Comments. Studies in health technology and informatics. 270. 781–785. 4 indexed citations
9.
Askari, Marjan, et al.. (2019). Chronic Kidney Disease and the Use of Social Media as Strategy for Health Education in Brazil. Studies in health technology and informatics. 264. 1945–1946. 1 indexed citations
10.
11.
Askari, Marjan, et al.. (2019). Perceived effectiveness of clinical pathway software: A before-after study in the Netherlands. International Journal of Medical Informatics. 135. 104052–104052. 10 indexed citations
12.
Medlock, Stephanie, Juliette L. Parlevliet, Danielle Sent, et al.. (2017). An email-based intervention to improve the number and timeliness of letters sent from the hospital outpatient clinic to the general practitioner: A pair-randomized controlled trial. PLoS ONE. 12(10). e0185812–e0185812. 2 indexed citations
13.
Medlock, Stephanie, Saeid Eslami, Marjan Askari, et al.. (2015). Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research. 17(1). e10–e10. 174 indexed citations
14.
Askari, Marjan, Saeid Eslami, Marjon van Rijn, et al.. (2015). Assessment of the quality of fall detection and management in primary care in the Netherlands based on the ACOVE quality indicators. Osteoporosis International. 27(2). 569–576. 14 indexed citations
15.
16.
Askari, Marjan, et al.. (2013). ASSESSMENT OF REQUISITION AND CONSUMPTION INDICES OF BLOOD IN EDUCATIONAL HOSPITALS IN KERMAN CITY. Scientific Journal of Iran Blood Transfus Organ. 10(138). 12–19. 3 indexed citations
17.
Askari, Marjan, et al.. (2013). Promoter hypermethylation of tumour suppressor genes (p14/ARF and p16/INK4a): case–control study in North Indian population. Molecular Biology Reports. 40(8). 4921–4928. 17 indexed citations
18.
Askari, Marjan, et al.. (2013). A combined disease management and process modeling approach for assessing and improving care processes: A fall management case-study. International Journal of Medical Informatics. 82(10). 1022–1033. 15 indexed citations
19.
Askari, Marjan, Peter C. Wierenga, Saied Eslami, et al.. (2011). Studies pertaining to the ACOVE quality criteria: a systematic review. International Journal for Quality in Health Care. 24(1). 80–87. 6 indexed citations
20.
Medlock, Stephanie, Dedan Opondo, Saeid Eslami, et al.. (2011). LERM (Logical Elements Rule Method): A method for assessing and formalizing clinical rules for decision support. International Journal of Medical Informatics. 80(4). 286–295. 22 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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