Canan Külah

839 total citations
37 papers, 582 citations indexed

About

Canan Külah is a scholar working on Epidemiology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Canan Külah has authored 37 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Molecular Medicine and 10 papers in Infectious Diseases. Recurrent topics in Canan Külah's work include Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (5 papers) and Antibiotic Use and Resistance (5 papers). Canan Külah is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (5 papers) and Antibiotic Use and Resistance (5 papers). Canan Külah collaborates with scholars based in Türkiye, Netherlands and Denmark. Canan Külah's co-authors include Elif Aktaş, Füsun Cömert, Güven Çelebi, İhsan Hakkı Çiftçi, Fürüzan Köktürk, Hande Aydemir, Cumhur Aydemir, Betül Şahin, Meltem Kilercik and Mustafa Serteser and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology and Infection.

In The Last Decade

Canan Külah

34 papers receiving 549 citations

Peers

Canan Külah
Comparison fields: 5 of 85
  • Molecular Medicine 220
  • Infectious Diseases 185
  • Epidemiology 174
  • Molecular Biology 112
  • Pharmacology 84
Replace Fabrizio Taglietti with:
Fabrizio Taglietti Italy
Norihito Kaku Japan
Zeynep Gülay Türkiye
S. Malhotra-Kumar Belgium
Chun-Eng Liu Taiwan
Yong Kyun Cho South Korea
Gita Eslami Iran
Kyu Man Lee South Korea
Qiulian Deng China
Mohammad Sholeh Iran
Fabrizio Taglietti Italy View profile →
Citations per field, relative to Canan Külah
Canan Külah · 1×
Citations per year, relative to Canan Külah
Canan Külah · 1×

Countries citing papers authored by Canan Külah

Since Specialization
Citations

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

Fields of papers citing papers by Canan Külah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canan Külah

This figure shows the co-authorship network connecting the top 25 collaborators of Canan Külah. A scholar is included among the top collaborators of Canan Külah 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 Canan Külah. Canan Külah 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 38
2 15
3 32
4 6
5 18
6 44
7 7
8 11
9 24
10
Pseudomonas aeruginosa izolatlarının antibiyotik duyarlılıklarının değerlendirilmesi: Çeşitli antibiyotiklere azalan duyarlılık
0
11 51
12 14
13 11
14 15
15 35
16 16
17 16
18 26
19 10
20 3

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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