Müge Çevik

13.4k total citations · 2 hit papers
65 papers, 3.5k citations indexed

About

Müge Çevik is a scholar working on Infectious Diseases, Oncology and Modeling and Simulation. According to data from OpenAlex, Müge Çevik has authored 65 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 12 papers in Oncology and 11 papers in Modeling and Simulation. Recurrent topics in Müge Çevik's work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (11 papers) and COVID-19 and healthcare impacts (11 papers). Müge Çevik is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (11 papers) and COVID-19 and healthcare impacts (11 papers). Müge Çevik collaborates with scholars based in United Kingdom, United States and Switzerland. Müge Çevik's co-authors include Antonia Ho, Alberto Enrico Maraolo, Ollie Lloyd, Jenna Schafers, Matthew Tate, Jason Kindrachuk, Krutika Kuppalli, Malik Peiris, Marc Lipsitch and Connor Bamford and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Müge Çevik

63 papers receiving 3.5k citations

Hit Papers

SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, d... 2020 2026 2022 2024 2020 2020 250 500 750

Peers

Müge Çevik
Comparison fields: 5 of 167
  • Infectious Diseases 2.2k
  • Modeling and Simulation 819
  • Epidemiology 533
  • Clinical Psychology 364
  • Neurology 357
Replace Siddharth Sridhar with:
Siddharth Sridhar Hong Kong
D. Katterine Bonilla‐Aldana Colombia
Tanu Singhal India
Forrest K. Jones United States
Kyra H. Grantz United States
Neeltje van Doremalen United States
Vernon J. Lee Singapore
Kenji Mizumoto Japan
Mike Yat Wah Kwan Hong Kong
Siddharth Sridhar Hong Kong View profile →
Citations per field, relative to Müge Çevik
Müge Çevik · 1×
Citations per year, relative to Müge Çevik
Müge Çevik · 1×

Countries citing papers authored by Müge Çevik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Müge Çevik

This figure shows the co-authorship network connecting the top 25 collaborators of Müge Çevik. A scholar is included among the top collaborators of Müge Çevik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Müge Çevik. Müge Çevik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 23
3 7
4 26
5 41
6 18
7 22
8 24
9 88
10 73
11 175
12 187
13 4
14 1
15 253
16 27
17
SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis breakdown →
842
18 17
19 16
20 21

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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2026