Mouhamad Alloosh

2.5k total citations
58 papers, 1.9k citations indexed

About

Mouhamad Alloosh is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Mouhamad Alloosh has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 21 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Mouhamad Alloosh's work include Cardiovascular Disease and Adiposity (17 papers), Coronary Interventions and Diagnostics (8 papers) and Cardiac Imaging and Diagnostics (7 papers). Mouhamad Alloosh is often cited by papers focused on Cardiovascular Disease and Adiposity (17 papers), Coronary Interventions and Diagnostics (8 papers) and Cardiac Imaging and Diagnostics (7 papers). Mouhamad Alloosh collaborates with scholars based in United States, Denmark and France. Mouhamad Alloosh's co-authors include Michael Sturek, Eric A. Mokelke, Johnathan D. Tune, Zachary P. Neeb, Jason Edwards, Naga Chalasani, Melissa C. Dyson, Gregory A. Payne, Léna Borbouse and Romil Saxena and has published in prestigious journals such as Advanced Materials, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Mouhamad Alloosh

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mouhamad Alloosh United States 23 761 523 461 389 358 58 1.9k
William L. Henry United States 16 710 0.9× 335 0.6× 749 1.6× 541 1.4× 320 0.9× 29 2.9k
Takeshi Mitsuhashi Japan 22 1.0k 1.4× 367 0.7× 202 0.4× 384 1.0× 123 0.3× 88 2.0k
Lei Gao China 22 220 0.3× 617 1.2× 164 0.4× 442 1.1× 285 0.8× 129 1.9k
Hongyu Wang China 20 494 0.6× 210 0.4× 144 0.3× 477 1.2× 173 0.5× 114 1.5k
Pascal Knuefermann Germany 28 628 0.8× 240 0.5× 165 0.4× 791 2.0× 465 1.3× 56 2.4k
Jessica Ward United States 20 180 0.2× 298 0.6× 360 0.8× 468 1.2× 362 1.0× 78 1.7k
Nabil E. Boutagy United States 21 259 0.3× 146 0.3× 490 1.1× 600 1.5× 186 0.5× 58 1.4k
Nicolas Schlegel Germany 30 214 0.3× 598 1.1× 312 0.7× 941 2.4× 285 0.8× 120 2.6k
Yuanwen Chen China 22 275 0.4× 324 0.6× 474 1.0× 1.0k 2.6× 737 2.1× 80 2.1k
Keishiro Kawamura Japan 34 2.0k 2.7× 409 0.8× 204 0.4× 885 2.3× 291 0.8× 141 3.0k

Countries citing papers authored by Mouhamad Alloosh

Since Specialization
Citations

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

Fields of papers citing papers by Mouhamad Alloosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mouhamad Alloosh

This figure shows the co-authorship network connecting the top 25 collaborators of Mouhamad Alloosh. A scholar is included among the top collaborators of Mouhamad Alloosh 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 Mouhamad Alloosh. Mouhamad Alloosh 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.
Xian, Sijie, Yuanhui Xiang, Dongping Liu, et al.. (2024). Insulin–Dendrimer Nanocomplex for Multi‐Day Glucose‐Responsive Therapy in Mice and Swine (Adv. Mater. 5/2024). Advanced Materials. 36(5).
2.
Xian, Sijie, Yuanhui Xiang, Dongping Liu, et al.. (2023). Insulin–Dendrimer Nanocomplex for Multi‐Day Glucose‐Responsive Therapy in Mice and Swine. Advanced Materials. 36(5). e2308965–e2308965. 9 indexed citations
3.
Mokelke, Eric A., Mouhamad Alloosh, & Michael Sturek. (2022). Specificity of Ca2+-activated K+ channel modulation in atherosclerosis and aerobic exercise training. Current topics in membranes. 90. 123–139. 2 indexed citations
4.
Heegaard, Peter M. H., Michael Sturek, Mouhamad Alloosh, & Graham J. Belsham. (2020). Animal Models for COVID-19: More to the Picture Than ACE2, Rodents, Ferrets, and Non-human Primates. A Case for Porcine Respiratory Coronavirus and the Obese Ossabaw Pig. Frontiers in Microbiology. 11. 573756–573756. 15 indexed citations
5.
Alloosh, Mouhamad, et al.. (2019). Effect of Age on Diabetogenicity of Alloxan in Ossabaw Miniature Swine. Comparative Medicine. 69(2). 114–122. 3 indexed citations
6.
Alloosh, Mouhamad, et al.. (2019). Effect of Age on Diabetogenicity of Alloxan in Ossabaw Miniature Swine. PMC. 1 indexed citations
7.
Cao, Yingchun, Ayeeshik Kole, Jie Hui, et al.. (2018). Fast assessment of lipid content in arteries in vivo by intravascular photoacoustic tomography. Scientific Reports. 8(1). 2400–2400. 53 indexed citations
8.
Kole, Ayeeshik, et al.. (2018). Alloxan-induced diabetes exacerbates coronary atherosclerosis and calcification in Ossabaw miniature swine with metabolic syndrome. Journal of Translational Medicine. 16(1). 58–58. 20 indexed citations
9.
Bruning, Rebecca S., et al.. (2017). Epicardial Adipose Tissue Removal Potentiates Outward Remodeling and Arrests Coronary Atherogenesis. The Annals of Thoracic Surgery. 103(5). 1622–1630. 33 indexed citations
10.
Li, Wennan, Xingjuan Chen, Constance J. Temm, et al.. (2017). Long-term spironolactone treatment reduces coronary TRPC expression, vasoconstriction, and atherosclerosis in metabolic syndrome pigs. Basic Research in Cardiology. 112(5). 54–54. 33 indexed citations
11.
12.
Liang, Tiebing, Mouhamad Alloosh, Lauren N. Bell, et al.. (2015). Liver injury and fibrosis induced by dietary challenge in the Ossabaw miniature Swine. Purdue e-Pubs (Purdue University System). 3 indexed citations
13.
Simianu, Vlad V., Jonathan G. Sham, Andrew S. Wright, et al.. (2015). A Large Animal Survival Model to Evaluate Bariatric Surgery Mechanisms. Surgical Science. 6(8). 337–345. 3 indexed citations
14.
Newell‐Fugate, Annie E., Mouhamad Alloosh, Michael Sturek, et al.. (2015). Effects of Obesity and Metabolic Syndrome on Steroidogenesis and Folliculogenesis in the Female Ossabaw Mini-Pig. PLoS ONE. 10(6). e0128749–e0128749. 27 indexed citations
15.
Owen, Meredith K., Frank A. Witzmann, Xianyin Lai, et al.. (2013). Perivascular Adipose Tissue Potentiates Contraction of Coronary Vascular Smooth Muscle. Circulation. 128(1). 9–18. 116 indexed citations
16.
Pedersen, Rebecca, Hans-Christian Ingerslev, Michael Sturek, et al.. (2013). Characterisation of Gut Microbiota in Ossabaw and Göttingen Minipigs as Models of Obesity and Metabolic Syndrome. PLoS ONE. 8(2). e56612–e56612. 107 indexed citations
17.
Wang, Exing, Ruben M. Sandoval, Barrak M. Pressler, et al.. (2012). A portable fiberoptic ratiometric fluorescence analyzer provides rapid point-of-care determination of glomerular filtration rate in large animals. PMC.
18.
Ziegler, Matthew A., Matthew R. Distasi, Steven J. Miller, et al.. (2010). Marvels, Mysteries, and Misconceptions of Vascular Compensation to Peripheral Artery Occlusion. Microcirculation. 17(1). 3–20. 71 indexed citations
19.
Lee, Lydia, Mouhamad Alloosh, Romil Saxena, et al.. (2009). Nutritional model of steatohepatitis and metabolic syndrome in the Ossabaw miniature swine #. Hepatology. 50(1). 56–67. 164 indexed citations
20.
Edwards, Jason, Mouhamad Alloosh, Xin Long, et al.. (2008). Adenosine A1 receptors in neointimal hyperplasia and in-stent stenosis in Ossabaw miniature swine. Coronary Artery Disease. 19(1). 27–31. 31 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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