Mohammed Mamdani

789 total citations
17 papers, 551 citations indexed

About

Mohammed Mamdani is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Mohammed Mamdani has authored 17 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Mohammed Mamdani's work include Cancer-related molecular mechanisms research (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and MicroRNA in disease regulation (2 papers). Mohammed Mamdani is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and MicroRNA in disease regulation (2 papers). Mohammed Mamdani collaborates with scholars based in United States, Canada and United Kingdom. Mohammed Mamdani's co-authors include Andreas Laupacis, Ross T. Tsuyuki, David R. Anderson, Joel G. Ray, Erik Yeo, Silviu‐Alin Bacanu, Gowon O. McMichael, Vladimir I. Vladimirov, Khaled Qanud and David N. Juurlink and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Mohammed Mamdani

16 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Mamdani United States 12 170 165 135 97 88 17 551
Xianmin Meng China 16 195 1.1× 288 1.7× 84 0.6× 42 0.4× 85 1.0× 42 597
Felix Mehrhof Germany 10 225 1.3× 303 1.8× 113 0.8× 38 0.4× 57 0.6× 23 630
Luís Azcona Spain 14 110 0.6× 396 2.4× 217 1.6× 29 0.3× 41 0.5× 38 680
Leena E. Viiri Finland 16 225 1.3× 143 0.9× 144 1.1× 20 0.2× 100 1.1× 30 574
Hongjie Wang China 15 146 0.9× 140 0.8× 98 0.7× 67 0.7× 34 0.4× 31 823
Kazuko Tajiri Japan 17 222 1.3× 616 3.7× 72 0.5× 39 0.4× 64 0.7× 74 1.1k
Yoshitane Seino Japan 13 200 1.2× 393 2.4× 204 1.5× 30 0.3× 56 0.6× 26 861
Steffen Sandmann Germany 16 245 1.4× 392 2.4× 41 0.3× 136 1.4× 30 0.3× 26 789
Christian Zellner United States 11 105 0.6× 167 1.0× 192 1.4× 19 0.2× 55 0.6× 22 542
Craig R. Hampton United States 8 239 1.4× 216 1.3× 113 0.8× 16 0.2× 85 1.0× 11 746

Countries citing papers authored by Mohammed Mamdani

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Mamdani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Mamdani

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

All Works

17 of 17 papers shown
1.
Mamdani, Mohammed, et al.. (2023). Cribriform adenocarcinoma of the minor salivary glands: a case report. Journal of Medical Case Reports. 17(1). 142–142.
2.
Mamdani, Mohammed, et al.. (2023). Osseointegration and Bone Resorption of Scapula Tip Free Flaps in Mandibular Reconstruction. The Laryngoscope. 133(10). 2597–2602. 3 indexed citations
3.
Drake, John W., Mohammed Mamdani, Gowon O. McMichael, et al.. (2021). Identifying a novel biological mechanism for alcohol addiction associated with circRNA networks acting as potential miRNA sponges. Addiction Biology. 26(6). e13071–e13071. 21 indexed citations
4.
Drake, John W., Gowon O. McMichael, Kellen G. Cresswell, et al.. (2020). Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence. Alcoholism Clinical and Experimental Research. 44(12). 2468–2480. 15 indexed citations
5.
Basu, Saikat, Landon T. Holbrook, Jihong Wu, et al.. (2020). Numerical evaluation of spray position for improved nasal drug delivery. Scientific Reports. 10(1). 10568–10568. 68 indexed citations
6.
Drake, John W., Mohammed Mamdani, Gowon O. McMichael, et al.. (2020). Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in NAc and PFC. PLoS ONE. 15(12). e0243857–e0243857. 10 indexed citations
7.
Stepp, Wesley H., Douglas Farquhar, Siddharth Sheth, et al.. (2018). RNA Oncoimmune Phenotyping of HPV-Positive p16-Positive Oropharyngeal Squamous Cell Carcinomas by Nodal Status. JAMA Otolaryngology–Head & Neck Surgery. 144(11). 967–967. 15 indexed citations
8.
Coelho, Daniel H., et al.. (2017). MRI surveillance of vestibular schwannomas without contrast enhancement: Clinical and economic evaluation. The Laryngoscope. 128(1). 202–209. 33 indexed citations
9.
Mamdani, Mohammed, Vernell Williamson, Gowon O. McMichael, et al.. (2015). Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence. PLoS ONE. 10(9). e0137671–e0137671. 66 indexed citations
10.
Williamson, Vernell, Mohammed Mamdani, Gowon O. McMichael, et al.. (2015). Expression quantitative trait loci (eQTLs) in microRNA genes are enriched for schizophrenia and bipolar disorder association signals. Psychological Medicine. 45(12). 2557–2569. 12 indexed citations
11.
Mamdani, Mohammed. (2014). A Systems Biology Approach to Detect eQTLs Associated with miRNA and mRNA Co-expression Networks in the Nucleus Accumbens of Chronic Alcoholic Patients. VCU Scholars Compass (Virginia Commonwealth University). 1 indexed citations
12.
Zhou, Siyuan, Mohammed Mamdani, Khaled Qanud, et al.. (2010). Treatment of Heart Failure by a Methanocarba Derivative of Adenosine Monophosphate: Implication for a Role of Cardiac Purinergic P2X Receptors. Journal of Pharmacology and Experimental Therapeutics. 333(3). 920–928. 14 indexed citations
13.
Pepe, Martino, Mohammed Mamdani, Lorena Zentilin, et al.. (2010). Intramyocardial VEGF-B 167 Gene Delivery Delays the Progression Towards Congestive Failure in Dogs With Pacing-Induced Dilated Cardiomyopathy. Circulation Research. 106(12). 1893–1903. 72 indexed citations
14.
Qanud, Khaled, Mohammed Mamdani, Martino Pepe, et al.. (2008). Reverse changes in cardiac substrate oxidation in dogs recovering from heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 295(5). H2098–H2105. 31 indexed citations
15.
Tran, Chau, Andreas Laupacis, Mohammed Mamdani, & Jack V. Tu. (2005). Effect of age on the use of evidence-based therapies for acute myocardial infarction. ACC Current Journal Review. 14(3). 16–16. 3 indexed citations
17.
Ray, Joel G., Mohammed Mamdani, Ross T. Tsuyuki, et al.. (2001). Use of Statins and the Subsequent Development of Deep Vein Thrombosis. Archives of Internal Medicine. 161(11). 1405–1405. 159 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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