Nur Yapar

73 total papers · 1.3k total citations
39 papers, 997 citations indexed

About

Nur Yapar is a scholar working on Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology. According to data from OpenAlex, Nur Yapar has authored 39 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 10 papers in Epidemiology and 6 papers in Applied Microbiology and Biotechnology. Recurrent topics in Nur Yapar's work include Antimicrobial Resistance in Staphylococcus (7 papers), Antifungal resistance and susceptibility (7 papers) and Antibiotic Use and Resistance (6 papers). Nur Yapar is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Antifungal resistance and susceptibility (7 papers) and Antibiotic Use and Resistance (6 papers). Nur Yapar collaborates with scholars based in Türkiye, United States and Italy. Nur Yapar's co-authors include Ayşe Yüce, Vildan Avkan-Oğuz, Sena Yeşil, Fırat Bayraktar, Barış Akıncı, Serkan Yener, Bülent Ertuğrul, Abdurrahman Çömlekçi, Hasan Havıtçıoğlu and Onur Kaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Infectious Diseases and American Journal of Infection Control.

In The Last Decade

Nur Yapar

34 papers receiving 954 citations

Hit Papers

Epidemiology and risk fac... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nur Yapar 576 368 187 142 139 39 997
Abhijit M. Bal 519 0.9× 259 0.7× 77 0.4× 80 0.6× 250 1.8× 47 1.2k
Tsilia Lazarovitch 193 0.3× 304 0.8× 113 0.6× 108 0.8× 164 1.2× 40 1.0k
Silvana Noviello 320 0.6× 207 0.6× 69 0.4× 69 0.5× 76 0.5× 63 940
Patrícia Cavaco‐Silva 267 0.5× 94 0.3× 189 1.0× 180 1.3× 261 1.9× 29 1.0k
N. Bouziges 217 0.4× 232 0.6× 101 0.5× 85 0.6× 258 1.9× 31 1.1k
Naser Alizadeh 128 0.2× 133 0.4× 159 0.9× 119 0.8× 246 1.8× 34 963
Rosineide Marques Ribas 204 0.4× 180 0.5× 53 0.3× 75 0.5× 222 1.6× 57 955
Müfide Nuran Akçay 104 0.2× 349 0.9× 93 0.5× 238 1.7× 159 1.1× 59 1.2k
Anthony Dolan 249 0.4× 50 0.1× 133 0.7× 107 0.8× 123 0.9× 28 958
Claudine E. Fasching 180 0.3× 429 1.2× 90 0.5× 56 0.4× 167 1.2× 30 1.1k

Countries citing papers authored by Nur Yapar

Since Specialization
Citations

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

Fields of papers citing papers by Nur Yapar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nur Yapar

This figure shows the co-authorship network connecting the top 25 collaborators of Nur Yapar. A scholar is included among the top collaborators of Nur Yapar 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 Nur Yapar. Nur Yapar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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