Bassem Yamout

4.4k total citations
115 papers, 2.3k citations indexed

About

Bassem Yamout is a scholar working on Pathology and Forensic Medicine, Rheumatology and Neurology. According to data from OpenAlex, Bassem Yamout has authored 115 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Pathology and Forensic Medicine, 19 papers in Rheumatology and 18 papers in Neurology. Recurrent topics in Bassem Yamout's work include Multiple Sclerosis Research Studies (73 papers), Polyomavirus and related diseases (13 papers) and Peripheral Neuropathies and Disorders (12 papers). Bassem Yamout is often cited by papers focused on Multiple Sclerosis Research Studies (73 papers), Polyomavirus and related diseases (13 papers) and Peripheral Neuropathies and Disorders (12 papers). Bassem Yamout collaborates with scholars based in Lebanon, United Arab Emirates and Kuwait. Bassem Yamout's co-authors include Raja Sawaya, Mohamad A. Mikati, Ghada El‐Hajj Fuleihan, Maya Zeineddine, Samia J. Khoury, Sevag Demirjian, Grace Farhat, Aline Herlopian, Lea Dib and W. Barada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Bassem Yamout

108 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bassem Yamout Lebanon 25 1.2k 405 386 381 369 115 2.3k
Corrado Bernasconi Switzerland 28 1.0k 0.9× 170 0.4× 533 1.4× 366 1.0× 308 0.8× 111 3.3k
James M. Schuster United States 31 775 0.7× 139 0.3× 612 1.6× 155 0.4× 412 1.1× 168 3.4k
Brigitte Velkeniers Belgium 39 292 0.3× 336 0.8× 232 0.6× 137 0.4× 664 1.8× 125 4.7k
Jennifer M. Weiss United States 32 465 0.4× 306 0.8× 77 0.2× 265 0.7× 948 2.6× 111 3.9k
Omar Khan United States 33 2.1k 1.8× 233 0.6× 917 2.4× 215 0.6× 950 2.6× 87 3.9k
Anthony M. Avellino United States 26 297 0.3× 335 0.8× 882 2.3× 245 0.6× 130 0.4× 107 2.7k
J O’Riordan United Kingdom 29 2.9k 2.5× 205 0.5× 1.5k 3.9× 198 0.5× 344 0.9× 68 4.2k
Chiara Zecca Switzerland 24 1.4k 1.2× 56 0.1× 736 1.9× 389 1.0× 291 0.8× 129 2.7k
Volker Knappertz United States 25 1.3k 1.1× 103 0.3× 567 1.5× 320 0.8× 323 0.9× 74 2.1k
Chirag G. Patil United States 44 1.3k 1.1× 63 0.2× 828 2.1× 207 0.5× 459 1.2× 131 5.4k

Countries citing papers authored by Bassem Yamout

Since Specialization
Citations

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

Fields of papers citing papers by Bassem Yamout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassem Yamout

This figure shows the co-authorship network connecting the top 25 collaborators of Bassem Yamout. A scholar is included among the top collaborators of Bassem Yamout 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 Bassem Yamout. Bassem Yamout 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.
Yamout, Bassem. (2025). Update in multiple sclerosis. eNeurologicalSci. 38. 100553–100553.
2.
Mrabet, Saloua, et al.. (2025). Multiple Sclerosis in the Middle East and North Africa: Perspectives and Challenges. International Journal of MS Care. T21–T21. 1 indexed citations
3.
Zeineddine, Maya, Raed Alroughani, Samar Farouk Ahmed, et al.. (2024). Safety and effectiveness of disease-modifying therapies after switching from natalizumab. Multiple Sclerosis Journal. 30(8). 1026–1035. 2 indexed citations
4.
Signori, Alessio, Marta Ponzano, Tomáš Kalinčík, et al.. (2024). Emulating randomised clinical trials in relapsing-remitting multiple sclerosis with non-randomised real-world evidence: an application using data from the MSBase Registry. Journal of Neurology Neurosurgery & Psychiatry. 95(7). 620–625. 2 indexed citations
5.
Jacob, Anu, et al.. (2024). Disease modifying treatment guidelines for multiple sclerosis in the United Arab Emirates. Multiple Sclerosis and Related Disorders. 88. 105703–105703.
6.
Giovannoni, Gavin, Alexey Boyко, Jorge Correale, et al.. (2023). Long-term follow-up of patients with relapsing multiple sclerosis from the CLARITY/CLARITY Extension cohort of CLASSIC-MS: An ambispective study. Multiple Sclerosis Journal. 29(6). 719–730. 23 indexed citations
7.
Zeineddine, Maya, Amal Al‐Hajje, Pascale Salameh, et al.. (2023). Barriers to accessing multiple sclerosis disease-modifying therapies in the Middle East and North Africa region: A regional survey-based study. Multiple Sclerosis and Related Disorders. 79. 104959–104959. 3 indexed citations
8.
Sharmin, Sifat, Charles B. Malpas, Vahid Shaygannejad, et al.. (2022). External validation of a clinical prediction model in multiple sclerosis. Multiple Sclerosis Journal. 29(2). 261–269. 1 indexed citations
9.
Rieckmann, Peter, Diego Centonze, Gavin Giovannoni, et al.. (2021). Expert opinion on COVID-19 vaccination and the use of cladribine tablets in clinical practice. Therapeutic Advances in Neurological Disorders. 14. 4203339386–4203339386. 11 indexed citations
10.
Alroughani, Raed, Saeed Akhtar, Maya Zeineddine, et al.. (2019). Risk of relapses during pregnancy among multiple sclerosis patients. Multiple Sclerosis and Related Disorders. 34. 9–13. 19 indexed citations
11.
Yamout, Bassem, Mohammad Ali Sahraian, Saeed Bohlega, et al.. (2019). Consensus recommendations for the diagnosis and treatment of multiple sclerosis: 2019 revisions to the MENACTRIMS guidelines. Multiple Sclerosis and Related Disorders. 37. 101459–101459. 75 indexed citations
12.
13.
Hannoun, Salem, et al.. (2018). Gadoterate Meglumine Administration in Multiple Sclerosis has no Effect on the Dentate Nucleus and the Globus Pallidus Signal Intensities. Academic Radiology. 26(10). e284–e291. 5 indexed citations
14.
Yamout, Bassem. (2017). Multiple sclerosis in the middle east and north Africa. Journal of the Neurological Sciences. 381. 16–16.
15.
Darwish, Hala, et al.. (2017). Effect of Vitamin D Replacement on Cognition in Multiple Sclerosis Patients. Scientific Reports. 7(1). 45926–45926. 41 indexed citations
16.
Rahal, Elias A., et al.. (2015). Epstein-Barr Virus and Human herpes virus 6 Type A DNA Enhance IL-17 Production in Mice. Viral Immunology. 28(5). 297–302. 23 indexed citations
17.
Mouhieddine, Tarek H., Hala Darwish, Lama Fawaz, et al.. (2015). Risk factors for multiple sclerosis and associations with anti-EBV antibody titers. Clinical Immunology. 158(1). 59–66. 27 indexed citations
18.
Yamout, Bassem, et al.. (2013). Multiple sclerosis in the Levant: a regional consensus statement. International Journal of Neuroscience. 124(5). 377–382. 5 indexed citations
19.
Yamout, Bassem, et al.. (2010). Extracranial venous stenosis is an unlikely cause of multiple sclerosis. Multiple Sclerosis Journal. 16(11). 1341–1348. 53 indexed citations
20.
Nuwayhid, Iman, et al.. (1998). Narghile (Hubble-Bubble) Smoking, Low Birth Weight, and Other Pregnancy Outcomes. American Journal of Epidemiology. 148(4). 375–383. 121 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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