Ömer Aydos

1.1k citations
6 papers · 42 · h-index 3

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antifungal resistance and susceptibility
    • Galectins and Cancer Biology
    • Biomarkers in Disease Mechanisms

Papers in

    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 1
    • Pancreatitis Pathology and Treatment 1

Ömer Aydos

6 papers receiving 42 citations

Peers

Ömer Aydos
Comparison fields: 5 of 24
  • Infectious Diseases 18
  • Immunology 16
  • Health Informatics 1
  • Neurology 8
  • Dermatology 2
Replace Teruaki Murakami with:
Teruaki Murakami Japan
Saori Amiya Japan
M Dúbrava Slovakia
Ryan O’Leary United States
Kyle R. Kays United States
Gabriele Garotto Italy
Faye Victoria C. Casimero United States
Paul Quentric France
Pilar Martinez‐Barranco Spain
Constantin J. Thieme Germany
Ömer Aydos relative to Teruaki Murakami Japan Teruaki Murakami's profile →
Citations per field
00.5×1.5×2.2×
Teruaki Murakami · 1×
Citations per year

Countries citing papers authored by Ömer Aydos

Since Specialization
Citations

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

Fields of papers citing papers by Ömer Aydos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ömer Aydos, 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 Ömer Aydos Line = papers co-authored together Ömer Aydos links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202131
2 20246
3 20242
4 20211
5 20221
6 20221

About Ömer Aydos

Ömer Aydos is a scholar working on Infectious Diseases, Surgery, Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 42 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), SARS-CoV-2 detection and testing (1 paper), Galectins and Cancer Biology (1 paper), COVID-19 epidemiological studies (1 paper), Phagocytosis and Immune Regulation (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (18 citations), Immunology (16 citations), Health Informatics (1 citation), Neurology (8 citations) and Dermatology (2 citations). Ömer Aydos has collaborated with scholars based in Türkiye, Cambodia and United States. Frequent co-authors include Aliye Baştuğ, Sümeyye Kazancıoğlu, Hürrem Bodur, Bahadır Orkun Özbay, Çiğdem Yücel, Fatma Yılmaz, Gülşen Yılmaz, Bedia Dinç, İpek Mumcuoğlu and Aykut Özkul. Their work appears in journals such as Heliyon, Journal of Medical Virology, Infectious Diseases Now, Japanese Journal of Infectious Diseases and Turkish Journal of Biochemistry.

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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