Müge Ayhan

408 citations
28 papers · 185 · h-index 6

Impact in

Papers in

Müge Ayhan

24 papers receiving 184 citations

Peers

Müge Ayhan
Comparison fields: 5 of 54
  • Applied Microbiology and Biotechnology 24
  • Infectious Diseases 94
  • Neurology 26
  • Molecular Medicine 9
  • Critical Care and Intensive Care Medicine 7
Replace Silvio Borrè with:
Silvio Borrè Italy
Gonzalo Segrelles‐Calvo Spain
Bernardo Alfonso Martínez-Guerra Mexico
H. M. Hamidullah Mehedi Bangladesh
Sanjith Saseedharan India
Stefano Ianniruberto Italy
Maria Paola Ursi Italy
Arifa Parker South Africa
Carla M. Román‐Montes Mexico
Jameela Alsalman Bahrain
Müge Ayhan relative to Silvio Borrè Italy Silvio Borrè's profile →
Citations per field
00.5×1.5×2.4×
Silvio Borrè · 1×
Citations per year

Countries citing papers authored by Müge Ayhan

Since Specialization
Citations

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

Fields of papers citing papers by Müge Ayhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202029
3 202117
4 20246
5 20226
6 20226
7 20244
8 20154
9 20243
10 20203
11 20212
12 20222
13 20242
14 20222
15 20212
16 20212
17 20202
18 20251
19 20201
20 20221

About Müge Ayhan

Müge Ayhan is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 185 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (5 papers), COVID-19 Clinical Research Studies (5 papers), Streptococcal Infections and Treatments (3 papers), Urinary Tract Infections Management (3 papers), Antibiotic Resistance in Bacteria (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Infection Control and Ventilation (2 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Infectious Diseases (94 citations), Neurology (26 citations), Molecular Medicine (9 citations) and Critical Care and Intensive Care Medicine (7 citations). Müge Ayhan has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Rahmet Güner, Ayşe Kaya Kalem, İmran Hasanoğlu, Fatma Eser, Bircan Kayaaslan, Deniz Erdem, İpek Mumcuoğlu, Sema Turan, Bircan Kayaaslan and Esragül Akıncı. Their work appears in journals such as Antibiotics, Mycoses, International Journal of Infectious Diseases, PLoS ONE and BMJ Open.

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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