Mona Alotaibi

1.2k total citations
43 papers, 555 citations indexed

About

Mona Alotaibi is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Mona Alotaibi has authored 43 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 13 papers in Cardiology and Cardiovascular Medicine and 12 papers in Molecular Biology. Recurrent topics in Mona Alotaibi's work include Pulmonary Hypertension Research and Treatments (18 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Mona Alotaibi is often cited by papers focused on Pulmonary Hypertension Research and Treatments (18 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Mona Alotaibi collaborates with scholars based in United States, Saudi Arabia and Myanmar. Mona Alotaibi's co-authors include Francesco Blasi, Nicholas S. Hill, Giulia Spoletini, Timothy M. Fernandes, Nick H. Kim, Mohit Jain, Timothy A. Morris, Jenny Yang, Stefano Nava and Susan Cheng and has published in prestigious journals such as Circulation, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mona Alotaibi

33 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Alotaibi United States 11 421 156 95 94 63 43 555
René Gust Germany 9 173 0.4× 76 0.5× 146 1.5× 79 0.8× 193 3.1× 11 519
Mikkel Allingstrup Denmark 8 80 0.2× 245 1.6× 176 1.9× 133 1.4× 27 0.4× 9 539
Joseph L. Nates United States 14 119 0.3× 62 0.4× 41 0.4× 57 0.6× 43 0.7× 32 497
Daniel J. Johnson United States 11 136 0.3× 75 0.5× 51 0.5× 91 1.0× 38 0.6× 18 469
Thomas C. Mutter Canada 8 123 0.3× 54 0.3× 148 1.6× 225 2.4× 95 1.5× 20 648
Pasi Pohjanjousi Finland 10 212 0.5× 73 0.5× 357 3.8× 74 0.8× 55 0.9× 22 622
H. Werner Canada 15 259 0.6× 44 0.3× 95 1.0× 39 0.4× 81 1.3× 29 586
Massimiliano Guglielmi United States 9 201 0.5× 51 0.3× 119 1.3× 166 1.8× 108 1.7× 17 715
Wioletta Sawicka Poland 15 167 0.4× 118 0.8× 222 2.3× 29 0.3× 32 0.5× 33 532
Pierre Andrivet France 16 572 1.4× 34 0.2× 269 2.8× 84 0.9× 72 1.1× 31 916

Countries citing papers authored by Mona Alotaibi

Since Specialization
Citations

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

Fields of papers citing papers by Mona Alotaibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Alotaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Alotaibi. A scholar is included among the top collaborators of Mona Alotaibi 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 Mona Alotaibi. Mona Alotaibi 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
2.
Fernandes, Timothy M., et al.. (2025). Pulmonary Hypertension Patients With Antiphospholipid Syndrome Undergoing Pulmonary Thromboendarterectomy: Single-volume Center Experience. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7617–A7617.
3.
Strome, Scott E., Songdi Wu, Demosthenes G. Papamatheakis, et al.. (2025). Patients With History of Methamphetamine Use Are More Likely to Have Risk Evaluation and Mitigation Strategy Medications for Pulmonary Arterial Hypertension Stopped Due to Non-adherence. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A6403–A6403.
4.
Heianza, Yoriko, Xuan Wang, Minghao Kou, et al.. (2024). Circulating dimethylguanidino valeric acid, dietary factors, and risk of coronary heart disease. Cardiovascular Research. 120(16). 2147–2154. 2 indexed citations
5.
Heianza, Yoriko, Saumya Tiwari, Xuan Wang, et al.. (2024). Gut-Microbiota-Related Metabolite Phenylacetylglutamine and Risk of Incident Coronary Heart Disease Among Women. The Journal of Clinical Endocrinology & Metabolism. 110(5). e1531–e1539. 4 indexed citations
6.
Highland, Heather M., Mona Alotaibi, Barrett M. Welch, et al.. (2024). Genome-wide association study reveals shared and distinct genetic architecture of fatty acids and oxylipins in the Hispanic Community Health Study/Study of Latinos. Human Genetics and Genomics Advances. 6(1). 100390–100390.
8.
Alotaibi, Mona, et al.. (2024). Emerging Trends in mRNA Vaccine Technology: Beyond Infectious Diseases. Egyptian Journal of Chemistry. 67(13). 1567–1574. 3 indexed citations
10.
11.
Heianza, Yoriko, Qi Sun, Xuan Wang, et al.. (2024). Plasma levels of polyols erythritol, mannitol, and sorbitol and incident coronary heart disease among women. European Journal of Preventive Cardiology. 32(5). 404–414. 2 indexed citations
12.
Alotaibi, Mona, Yunxian Liu, Alan C. Kwan, et al.. (2023). Deriving Convergent and Divergent Metabolomic Correlates of Pulmonary Arterial Hypertension. Metabolites. 13(7). 802–802. 3 indexed citations
13.
Rhee, Eugene P., Aditya Surapaneni, Pascal Schlosser, et al.. (2023). A genome-wide association study identifies 41 loci associated with eicosanoid levels. Communications Biology. 6(1). 792–792. 8 indexed citations
14.
Lau, Emily S., Dongyu Wang, J. Sawalla Guseh, et al.. (2023). Eicosanoid and eicosanoid-related inflammatory mediators and exercise intolerance in heart failure with preserved ejection fraction. Nature Communications. 14(1). 7557–7557. 22 indexed citations
15.
Yang, Jenny, Nick H. Kim, Timothy M. Fernandes, et al.. (2023). Outcomes Associated With Catheter-Directed Therapies in Chronic Thromboembolic Pulmonary Hypertension. 1(2). 100009–100009. 1 indexed citations
17.
McNeill, Jenna, Mona Alotaibi, Mohit Jain, et al.. (2023). The association of eicosanoids and eicosanoid-related metabolites with pulmonary hypertension. European Respiratory Journal. 62(4). 2300561–2300561. 10 indexed citations
18.
Jeong, Ina, Mona Alotaibi, Timothy M. Fernandes, et al.. (2022). Direct oral anticoagulants in patients with chronic thromboembolic pulmonary hypertension and the presence of recent thrombus during pulmonary endarterectomy. Pulmonary Circulation. 12(3). e12110–e12110. 18 indexed citations
19.
Yang, Jenny, Demosthenes G. Papamatheakis, David Poch, et al.. (2022). Drug-Drug Interactions in the Management of Patients With Pulmonary Arterial Hypertension. CHEST Journal. 162(6). 1360–1372. 18 indexed citations
20.
Hepokoski, Mark, Jing Wang, Kefeng Li, et al.. (2021). Altered lung metabolism and mitochondrial DAMPs in lung injury due to acute kidney injury. American Journal of Physiology-Lung Cellular and Molecular Physiology. 320(5). L821–L831. 42 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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