Majaz Moonis

3.5k total citations
84 papers, 1.2k citations indexed

About

Majaz Moonis is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Majaz Moonis has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 23 papers in Cardiology and Cardiovascular Medicine and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Majaz Moonis's work include Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (19 papers) and Atrial Fibrillation Management and Outcomes (9 papers). Majaz Moonis is often cited by papers focused on Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (19 papers) and Atrial Fibrillation Management and Outcomes (9 papers). Majaz Moonis collaborates with scholars based in United States, India and United Kingdom. Majaz Moonis's co-authors include Marc Fisher, Nils Henninger, Yeliz Karaca, Richard Goddeau, Kevin Kane, Yudong Zhang, Eugene Lin, Joan M. Swearer, Deepak Takhtani and Bobby W. Sandage and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Majaz Moonis

77 papers receiving 1.1k citations

Peers

Majaz Moonis
Ying Kuen Cheung United States
Jeffrey Shuren United States
Ken Cheung United States
Sharyl Martini United States
Jerry D. Cavallerano United States
Willy Chou Taiwan
Suzie El‐Saden United States
Ying Kuen Cheung United States
Majaz Moonis
Citations per year, relative to Majaz Moonis Majaz Moonis (= 1×) peers Ying Kuen Cheung

Countries citing papers authored by Majaz Moonis

Since Specialization
Citations

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

Fields of papers citing papers by Majaz Moonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majaz Moonis

This figure shows the co-authorship network connecting the top 25 collaborators of Majaz Moonis. A scholar is included among the top collaborators of Majaz Moonis 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 Majaz Moonis. Majaz Moonis 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.
Srichawla, Bahadar S., et al.. (2025). Fazekas score predicts cognitive decline & frailty in older adults: insights from the SAGE-AF cohort study. Neurological Research and Practice. 7(1). 78–78.
2.
Srichawla, Bahadar S., et al.. (2024). Is catheter ablation associated with preservation of cognitive function? An analysis from the SAGE-AF observational cohort study. Frontiers in Neurology. 14. 1302020–1302020. 1 indexed citations
3.
Karaca, Yeliz, Dumitru Bǎleanu, Majaz Moonis, Yudong Zhang, & Osvaldo Gervasi. (2023). EDITORIAL SPECIAL ISSUE: PART IV-III-II-I SERIES. Fractals. 31(10). 1 indexed citations
4.
Jun-O’Connell, Adalia, et al.. (2023). Stroke nurse navigator utilization reduces unplanned 30-day readmission in stroke patients treated with thrombolysis. Frontiers in Neurology. 14. 1205487–1205487. 3 indexed citations
5.
Jun-O’Connell, Adalia, et al.. (2022). Association between the LACE+ index and unplanned 30-day hospital readmissions in hospitalized patients with stroke. Frontiers in Neurology. 13. 963733–963733. 3 indexed citations
6.
Ghasemi, Mehdi, et al.. (2020). Prevalence of a Multiple Territory Stroke Pattern After Intravenous Thrombolysis. Journal of Stroke and Cerebrovascular Diseases. 29(5). 104700–104700. 1 indexed citations
7.
Ding, Eric, Dong Han, Syed Khairul Bashar, et al.. (2019). Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study. JMIR Cardio. 3(1). e13850–e13850. 36 indexed citations
8.
Lowe, Jessica, Muhib Khan, Susanne Muehlschlegel, et al.. (2019). Clinical and Radiological Characteristics of Vitamin K Versus Non-Vitamin K Antagonist Oral Anticoagulation-Related Intracerebral Hemorrhage. Neurocritical Care. 31(1). 56–65. 3 indexed citations
9.
Adhish, VivekS, et al.. (2018). Depression effects on hospital cost of heart failure patients in California: An analysis by ethnicity and gender. Indian Journal of Community Medicine. 43(1). 49–49. 15 indexed citations
10.
Mayasi, Yunis, Richard Goddeau, Majaz Moonis, et al.. (2017). Leukoaraiosis Attenuates Diagnostic Accuracy of Large-Vessel Occlusion Scales. American Journal of Neuroradiology. 39(2). 317–322. 6 indexed citations
11.
Husaini, Baqar A., et al.. (2016). Heart Failure Hospitalization by Race/Ethnicity, Gender and Age in California: Implications for Prevention. Ethnicity & Disease. 26(3). 345–345. 16 indexed citations
12.
Husaini, Baqar A., Robert S. Levine, Linda Sharp, et al.. (2013). Depression Increases Stroke Hospitalization Cost: An Analysis of 17,010 Stroke Patients in 2008 by Race and Gender. Stroke Research and Treatment. 2013. 1–7. 41 indexed citations
13.
Fisher, Marc & Majaz Moonis. (2012). Neuroprotective Effects of Statins: Evidence from Preclinical and Clinical Studies. Current Treatment Options in Cardiovascular Medicine. 14(3). 252–259. 27 indexed citations
14.
Cachia, David, Joan M. Swearer, Warren J. Ferguson, & Majaz Moonis. (2011). Selective cognitive patterns resulting from bilateral hippocampal ischemia. Archives of Medical Science. 1(1). 168–172. 5 indexed citations
15.
Pollen, Daniel A., Stephen P. Baker, Douglas Hinerfeld, et al.. (2010). Prevention of Alzheimer's disease in high risk groups: statin therapy in subjects with PSEN1 mutations or heterozygosity for apolipoprotein E epsilon 4. Alzheimer s Research & Therapy. 2(5). 31–31. 7 indexed citations
16.
Patel, Darshana & Majaz Moonis. (2007). Clinical implications of aspirin resistance. Expert Review of Cardiovascular Therapy. 5(5). 969–975. 15 indexed citations
17.
Álvarez, Sergio A., et al.. (2006). Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data. IEEE Transactions on Information Technology in Biomedicine. 10(3). 440–450. 11 indexed citations
18.
Moonis, Majaz & Marc Fisher. (2003). Antiplatelet treatment for secondary prevention of acute ischemic stroke and transient ischemic attacks: mechanisms, choices and possible emerging patterns of use. Expert Review of Cardiovascular Therapy. 1(4). 611–615. 5 indexed citations
19.
Husaini, Baqar A., Darren E. Sherkat, Majaz Moonis, et al.. (2002). Racial Differences in the Diagnosis of Dementia and in Its Effects on the Use and Costs of Health Care Services. Psychiatric Services. 54(1). 92–96. 56 indexed citations
20.
Moonis, Majaz, Sanjeev Jain, Kameshwar Prasad, et al.. (1988). Left thalamic hypertensive haemorrhage presenting as transient global amnesia. Acta Neurologica Scandinavica. 77(4). 331–334. 7 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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