Abeer Moanna

1.2k citations
21 papers · 543 · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • Parvovirus B19 Infection Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antimicrobial Resistance in Staphylococcus
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 4
    • Clostridium difficile and Clostridium perfringens research 2
    • Herpesvirus Infections and Treatments 4
    • Cytomegalovirus and herpesvirus research 3

Abeer Moanna

20 papers receiving 515 citations

Peers

Abeer Moanna
Comparison fields: 5 of 71
  • Infectious Diseases 255
  • Virology 46
  • Hematology 103
  • Epidemiology 173
  • Immunology 79
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Citations per year

Countries citing papers authored by Abeer Moanna

Since Specialization
Citations

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

Fields of papers citing papers by Abeer Moanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abeer Moanna, 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 Abeer Moanna Line = papers co-authored together Abeer Moanna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010124
2 202093
3 201087
4 201054
5 201336
6 200529
7 202027
8 201123
9 200618
10 202213
11 201810
12 20179
13 20117
14 20164
15 20222
16 20222
17 20162
18 20251
19 20051
20 20081

About Abeer Moanna

Abeer Moanna is a scholar working on Infectious Diseases, Epidemiology, Virology, Public Health, Environmental and Occupational Health and Surgery, having authored 21 papers that have together received 543 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (4 papers), Herpesvirus Infections and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers), HIV Research and Treatment (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Immune Cell Function and Interaction (2 papers), Acne and Rosacea Treatments and Effects (2 papers) and HIV-related health complications and treatments (2 papers). The work is most often cited by research in Infectious Diseases (255 citations), Virology (46 citations), Hematology (103 citations), Epidemiology (173 citations) and Immunology (79 citations). Abeer Moanna has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include David Rimland, Jesse T. Jacob, Helmut Albrecht, Alicia Hidrón, Vincent C. Marconi, Russell R. Kempker, Jesse O’Shea, Mirko Paiardini, Richard M. Dunham and Guido Silvestri. Their work appears in journals such as Clinical Infectious Diseases, AIDS, Open Forum Infectious Diseases, Reviews in Medical Virology and AIDS Patient Care and STDs.

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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