Bassam Mahboub

1.7k total citations
81 papers, 1.1k citations indexed

About

Bassam Mahboub is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Infectious Diseases. According to data from OpenAlex, Bassam Mahboub has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 28 papers in Physiology and 21 papers in Infectious Diseases. Recurrent topics in Bassam Mahboub's work include Asthma and respiratory diseases (21 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers) and COVID-19 Clinical Research Studies (15 papers). Bassam Mahboub is often cited by papers focused on Asthma and respiratory diseases (21 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers) and COVID-19 Clinical Research Studies (15 papers). Bassam Mahboub collaborates with scholars based in United Arab Emirates, Canada and United Kingdom. Bassam Mahboub's co-authors include Qutayba Hamid, Mayank Vats, Rifat Hamoudi, Laila Salameh, Rabih Halwani, Audrey H. Poon, Ashraf Alzaabi, Rakhee K. Ramakrishnan, Guan K. Tay and Habiba Alsafar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Bassam Mahboub

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bassam Mahboub United Arab Emirates 20 375 333 278 183 155 81 1.1k
Maryam Noori Iran 16 391 1.0× 135 0.4× 197 0.7× 117 0.6× 128 0.8× 61 1.4k
Fabio Perrotta Italy 19 420 1.1× 193 0.6× 353 1.3× 177 1.0× 159 1.0× 81 1.4k
Raymond Farah Israel 20 153 0.4× 225 0.7× 157 0.6× 623 3.4× 139 0.9× 91 1.4k
Sun-Hee Park South Korea 23 184 0.5× 124 0.4× 175 0.6× 124 0.7× 307 2.0× 120 1.6k
Seung Hun Jang South Korea 22 872 2.3× 210 0.6× 183 0.7× 202 1.1× 256 1.7× 140 1.6k
Xiangcheng Xiao China 20 320 0.9× 70 0.2× 274 1.0× 147 0.8× 405 2.6× 71 1.4k
Yahya Mahamat‐Saleh France 18 141 0.4× 93 0.3× 222 0.8× 153 0.8× 110 0.7× 41 1.1k
Chi‐Huei Chiang Taiwan 19 300 0.8× 166 0.5× 155 0.6× 198 1.1× 165 1.1× 41 1.2k
Jae Won Yang South Korea 16 81 0.2× 171 0.5× 288 1.0× 138 0.8× 217 1.4× 75 1.2k
Xin Song China 21 85 0.2× 232 0.7× 138 0.5× 171 0.9× 332 2.1× 81 1.4k

Countries citing papers authored by Bassam Mahboub

Since Specialization
Citations

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

Fields of papers citing papers by Bassam Mahboub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassam Mahboub

This figure shows the co-authorship network connecting the top 25 collaborators of Bassam Mahboub. A scholar is included among the top collaborators of Bassam Mahboub 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 Bassam Mahboub. Bassam Mahboub 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.
Salameh, Laila, et al.. (2025). Real world using dual biological therapy in severe asthma: Insights from four cases. Journal of Asthma. 63(3). 389–393.
2.
Alsalamah, Shada, et al.. (2024). COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal. Sensors. 24(8). 2641–2641. 9 indexed citations
3.
4.
Fuentes, David, et al.. (2024). Assessing the impact of storage conditions on RNA from human saliva and its application to the identification of mRNA biomarkers for asthma. Frontiers in Molecular Biosciences. 11. 1363897–1363897. 2 indexed citations
5.
Mogas, Andrea, Mahmood Yaseen Hachim, Abiola Senok, et al.. (2023). Cell free ACE2 RNA: A potential biomarker of COVID-19 severity. Respiratory Medicine. 219. 107409–107409. 1 indexed citations
6.
Ramakrishnan, Rakhee K., Khuloud Bajbouj, Mahmood Yaseen Hachim, et al.. (2022). Bcl10 Regulates Lipopolysaccharide-Induced Pro-Fibrotic Signaling in Bronchial Fibroblasts from Severe Asthma Patients. Biomedicines. 10(7). 1716–1716. 1 indexed citations
7.
Salameh, Laila, Narjes Saheb Sharif‐Askari, M. Al-Sharhan, et al.. (2022). In Silico Bioinformatics Followed by Molecular Validation Using Archival FFPE Tissue Biopsies Identifies a Panel of Transcripts Associated with Severe Asthma and Lung Cancer. Cancers. 14(7). 1663–1663. 3 indexed citations
8.
Henschel, Andreas, Samuel F. Feng, Rifat Hamoudi, et al.. (2022). Travel ban effects on SARS-CoV-2 transmission lineages in the UAE as inferred by genomic epidemiology. PLoS ONE. 17(3). e0264682–e0264682. 3 indexed citations
9.
Bouzid, Amal, Mahmood Yaseen Hachim, Narjes Saheb Sharif‐Askari, et al.. (2022). ACE2 polymorphisms impact COVID-19 severity in obese patients. Scientific Reports. 12(1). 21491–21491. 10 indexed citations
10.
Jelinek, Herbert F., Mira Mousa, Nawal Al Kaabi, et al.. (2022). Allelic Variants Within the ABO Blood Group Phenotype Confer Protection Against Critical COVID-19 Hospital Presentation. Frontiers in Medicine. 8. 759648–759648. 5 indexed citations
11.
Anouti, Fatme Al, Mira Mousa, Spyridon Ν. Karras, et al.. (2021). Associations between Genetic Variants in the Vitamin D Metabolism Pathway and Severity of COVID-19 among UAE Residents. Nutrients. 13(11). 3680–3680. 19 indexed citations
12.
Salameh, Laila, Bassam Mahboub, Amar Hassan Khamis, et al.. (2021). Asthma severity as a contributing factor to cancer incidence: A cohort study. PLoS ONE. 16(5). e0250430–e0250430. 11 indexed citations
13.
Mahboub, Bassam, et al.. (2021). Insight into molecular mechanisms underlying hepatic dysfunction in severe COVID-19 patients using systems biology. World Journal of Gastroenterology. 27(21). 2850–2870. 14 indexed citations
14.
Mahboub, Bassam, Saba Al Heialy, Mahmood Yaseen Hachim, et al.. (2021). Vitamin D Regulates the Expression of Glucocorticoid Receptors in Blood of Severe Asthmatic Patients. Journal of Immunology Research. 2021. 1–10. 11 indexed citations
15.
Tajouri, Lotti, Mariana Campos, Anna Lohning, et al.. (2021). The role of mobile phones as a possible pathway for pathogen movement, a cross-sectional microbial analysis. Travel Medicine and Infectious Disease. 43. 102095–102095. 11 indexed citations
16.
Hachim, Mahmood Yaseen, Noha Mousaad Elemam, Rakhee K. Ramakrishnan, et al.. (2020). Blood and Salivary Amphiregulin Levels as Biomarkers for Asthma. Frontiers in Medicine. 7. 561866–561866. 9 indexed citations
17.
Mahboub, Bassam. (2019). Severe asthma, real-life experience and recommendations (a Gulf Cooperation Council expert panel). Medical Research Archives. 7(12). 2 indexed citations
18.
Al‐Muhsen, Saleh, Alejandro Vazquez‐Tello, Bassam Mahboub, et al.. (2014). Rs37972 and rs37973 single-nucleotide polymorphisms in the glucocorticoid-inducible 1 gene are not associated with asthma risk in a Saudi Arabian population. Journal of Asthma. 52(2). 115–122. 8 indexed citations
19.
Mahboub, Bassam, et al.. (2013). Sleep breathing disorders in female population of Dubai, UAE. Health. 5(12). 2091–2096. 3 indexed citations
20.
Tamim, Hani, et al.. (2012). Quality of life of patients with chronic obstructive pulmonary disease in the Gulf Cooperation Council countries.. PubMed. 33(10). 1111–7. 11 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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