Naim Mahroum
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 17
- Systemic Lupus Erythematosus Research 14
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 5
- Co-authors
- Nicola Luigi BragazziHoward AmitalYehuda ShoenfeldAbdulla WatadMohammad AdawiHussein MahagnaRola Khamisy‐FarahJude Dzevela Kong
In The Last Decade
Naim Mahroum
61 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Virology 210
- Rheumatology 215
- Infectious Diseases 236
- Epidemiology 421
- Hematology 119
Countries citing papers authored by Naim Mahroum
This map shows the geographic impact of Naim Mahroum'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 Naim Mahroum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naim Mahroum more than expected).
Fields of papers citing papers by Naim Mahroum
This network shows the impact of papers produced by Naim Mahroum. 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 Naim Mahroum. The network helps show where Naim Mahroum may publish in the future.
Co-authors
The 25 scholars most cited alongside Naim Mahroum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 12 | |
| 3 | Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review Hit paper breakdown → | 2022 | 193 |
| 4 | 2021 | 5 | |
| 5 | 2021 | 18 | |
| 6 | 2019 | 42 | |
| 7 | 2019 | 5 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 55 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 16 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 1 | |
| 15 | The Association Between Giant Cell Arteritis and Ischemic Heart Disease: A Population Based Cross-Sectional Study. | 2017 | 9 |
| 16 | 2017 | 6 | |
| 17 | 2017 | 16 | |
| 18 | 2017 | 24 | |
| 19 | 2016 | 41 | |
| 20 | 2016 | 48 |
About Naim Mahroum
Naim Mahroum is a scholar working on Rheumatology, Infectious Diseases, Health Informatics, Immunology and Modeling and Simulation, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (14 papers), Data-Driven Disease Surveillance (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Systemic Sclerosis and Related Diseases (6 papers), COVID-19 Clinical Research Studies (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Misinformation and Its Impacts (4 papers). The work is most often cited by research in Virology (210 citations), Rheumatology (215 citations), Infectious Diseases (236 citations), Epidemiology (421 citations) and Hematology (119 citations). Naim Mahroum has collaborated with scholars based in Israel, Türkiye and Italy. Frequent co-authors include Nicola Luigi Bragazzi, Howard Amital, Yehuda Shoenfeld, Abdulla Watad, Mohammad Adawi, Hussein Mahagna, Rola Khamisy‐Farah, Jude Dzevela Kong, Christina Tsigalou and Manlio Converti. Their work appears in journals such as Autoimmunity Reviews, Immunologic Research, International Journal of Environmental Research and Public Health, JMIR Public Health and Surveillance and Best Practice & Research Clinical Rheumatology.
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.