Müge Çevik
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 7
- HIV/AIDS drug development and treatment 4
-
- COVID-19 epidemiological studies 10
- Co-authors
- Antonia Ho (3 shared papers)Alberto Enrico Maraolo (5 shared papers)Ollie Lloyd (2 shared papers)Jenna Schafers (2 shared papers)Krutika Kuppalli (2 shared papers)Jason Kindrachuk (2 shared papers)Malik Peiris (1 shared paper)Marc Lipsitch (3 shared papers)
- Journals
- Clinical Microbiology and Infection (8 papers)Clinical Infectious Diseases (5 papers)BMJ (4 papers)Open Forum Infectious Diseases (4 papers)Cell (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Müge Çevik
63 papers receiving 3.5k citations
Müge Çevik's Hit Papers
Peers
Comparison fields: 5 of 168
- Modeling and Simulation 648
- Infectious Diseases 1.9k
- General Dentistry 39
- Health 190
- Virology 94
Countries citing papers authored by Müge Çevik
This map shows the geographic impact of Müge Çevik'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 Müge Çevik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Müge Çevik more than expected).
Fields of papers citing papers by Müge Çevik
This network shows the impact of papers produced by Müge Çevik. 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 Müge Çevik. The network helps show where Müge Çevik may publish in the future.
Co-authors
The 25 scholars most cited alongside Müge Çevik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis Hit paper breakdown → | 2020 | 857 |
| 2 | Virology, transmission, and pathogenesis of SARS-CoV-2 Hit paper breakdown → | 2020 | 469 |
| 3 | COVID-19 pandemic—a focused review for clinicians Hit paper breakdown → | 2020 | 254 |
| 4 | 2020 | 190 | |
| 5 | 2020 | 176 | |
| 6 | 2020 | 116 | |
| 7 | 2020 | 108 | |
| 8 | 2020 | 98 | |
| 9 | 2020 | 97 | |
| 10 | 2021 | 92 | |
| 11 | 2021 | 89 | |
| 12 | 2021 | 83 | |
| 13 | 2007 | 83 | |
| 14 | 2021 | 75 | |
| 15 | 2019 | 49 | |
| 16 | 2022 | 44 | |
| 17 | 2021 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2005 | 33 | |
| 20 | 2020 | 32 |
About Müge Çevik
Müge Çevik is a scholar working on Infectious Diseases, Modeling and Simulation, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers), COVID-19 and healthcare impacts (6 papers), Infection Control and Ventilation (5 papers), COVID-19 and Mental Health (5 papers), HIV/AIDS drug development and treatment (4 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Modeling and Simulation (648 citations), Infectious Diseases (1.9k citations), General Dentistry (39 citations), Health (190 citations) and Virology (94 citations). Müge Çevik has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Antonia Ho, Alberto Enrico Maraolo, Ollie Lloyd, Jenna Schafers, Krutika Kuppalli, Jason Kindrachuk, Malik Peiris, Marc Lipsitch, Connor Bamford and Aaron Richterman. Their work appears in journals such as Clinical Microbiology and Infection, Clinical Infectious Diseases, BMJ, Open Forum Infectious Diseases and Cell.
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.