Naim Mahroum

2.1k citations
65 papers · 1.3k indexed · 1 hit paper · h-index 19

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • Systemic Lupus Erythematosus Research

Papers in

Naim Mahroum

61 papers receiving 1.3k citations

Hit Papers

Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review 2022 · 193 citations
193202220262023202450100150

Peers

Naim Mahroum
Comparison fields: 5 of 121
  • Virology 210
  • Rheumatology 215
  • Infectious Diseases 236
  • Epidemiology 421
  • Hematology 119
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Citations per field
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Citations per year

Countries citing papers authored by Naim Mahroum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Naim Mahroum Line = papers co-authored together Naim Mahroum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202312
3
Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review
Hit paper breakdown →
2022193
4 20215
5 202118
6 201942
7 20195
8 201913
9 201923
10 201855
11 201835
12 201816
13 201821
14 20181
15
The Association Between Giant Cell Arteritis and Ischemic Heart Disease: A Population Based Cross-Sectional Study.
20179
16 20176
17 201716
18 201724
19 201641
20 201648

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.

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