Gökhan Aygün

1.3k citations
70 papers · 815 indexed · h-index 13

Gökhan Aygün

61 papers receiving 784 citations

Peers

Gökhan Aygün
Comparison fields: 5 of 94
  • Molecular Medicine 428
  • Applied Microbiology and Biotechnology 156
  • Endocrinology 172
  • Clinical Biochemistry 84
  • Infectious Diseases 207
Replace Anke Kohlenberg with:
Anke Kohlenberg Germany
Ya‐Sung Yang Taiwan
Steve McGloughlin Australia
María Ángeles Orellana Spain
Yusuf Yakupoğulları Türkiye
Joshua T. Freeman New Zealand
Bina Rubinovitch Israel
Adhiratha Boonyasiri Thailand
Johan Tham Sweden
Tsilia Lazarovitch Israel
Gökhan Aygün relative to Anke Kohlenberg Germany Anke Kohlenberg's profile →
Citations per field
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Anke Kohlenberg · 1×
Citations per year

Countries citing papers authored by Gökhan Aygün

Since Specialization
Citations

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

Fields of papers citing papers by Gökhan Aygün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20245
5 20241
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7 20242
8 20240
9 20236
10 20226
11 20218
12 202110
13 20211
14 202020
15 201526
16 201418
17 201211
18 20059
19
Genital sistem yakınmalarıyla başvuran erkek hastalarda Chlamydia trachomatis sıklığı
20021
20 2002119

About Gökhan Aygün

Gökhan Aygün is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 70 papers that have together received 815 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Antifungal resistance and susceptibility (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), COVID-19 Clinical Research Studies (7 papers), Antibiotic Use and Resistance (7 papers), Fungal Infections and Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Streptococcal Infections and Treatments (6 papers). The work is most often cited by research in Molecular Medicine (428 citations), Applied Microbiology and Biotechnology (156 citations) and Endocrinology (172 citations). Gökhan Aygün has collaborated with scholars based in Türkiye, Spain and Cambodia. Frequent co-authors include Recep Öztürk, Bilgül Mete, Hakan Leblebicioğlu, Haluk Vahaboğlu, İsmail Balık, K. Aydın, Müşerref Tatman Otkun, Akgün Yaman, Mert Ahmet Kuşkucu and Seval Ürkmez. Their work appears in journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

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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