Devrim Kaya

1.2k citations
34 papers · 648 · h-index 14

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
  • Pollution top 10%
    • Microbial bioremediation and biosurfactants

Papers in

Devrim Kaya

33 papers receiving 634 citations

Peers

Devrim Kaya
Comparison fields: 5 of 88
  • Infectious Diseases 310
  • Pollution 112
  • Virology 38
  • Industrial and Manufacturing Engineering 47
  • Biomedical Engineering 232
Replace Rasha Maal‐Bared with:
Rasha Maal‐Bared Canada
Anna-Maria Hokajärvi Finland
Md Ariful Islam Juel Bangladesh
Bradley W. Schmitz United States
Leonard W. Casson United States
Zhenyu Wu United States
Sílvia Monteiro Portugal
Ricardo Santos Portugal
Laura Bruni Italy
Yossi Manor Israel
Devrim Kaya relative to Rasha Maal‐Bared Canada Rasha Maal‐Bared's profile →
Citations per field
00.5×3.8×
Rasha Maal‐Bared · 1×
Citations per year

Countries citing papers authored by Devrim Kaya

Since Specialization
Citations

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

Fields of papers citing papers by Devrim Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 202179
3 202263
4 202152
5 200733
6 201731
7 202231
8 202127
9 201623
10 202223
11 201922
12 202122
13 201919
14 202216
15 202213
16 201311
17 200410
18 201110
19 20239
20 20229

About Devrim Kaya

Devrim Kaya is a scholar working on Biomedical Engineering, Infectious Diseases, Pollution, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 34 papers that have together received 648 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (12 papers), Biosensors and Analytical Detection (8 papers), Microbial bioremediation and biosurfactants (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Wastewater Treatment and Reuse (3 papers), Anaerobic Digestion and Biogas Production (3 papers), Urban Stormwater Management Solutions (3 papers) and Groundwater flow and contamination studies (3 papers). The work is most often cited by research in Infectious Diseases (310 citations), Pollution (112 citations), Virology (38 citations), Industrial and Manufacturing Engineering (47 citations) and Biomedical Engineering (232 citations). Devrim Kaya has collaborated with scholars based in United States, Türkiye and Finland. Frequent co-authors include Warish Ahmed, Birthe V. Kjellerup, Aaron Bivins, İpek İmamoğlu, F. Dilek Sanin, Kyle Bibby, Kevin R. Sowers, Stuart L. Simpson, Filiz B. Dilek and Orin C. Shanks. Their work appears in journals such as The Science of The Total Environment, Chemosphere, Emerging infectious diseases, Water Environment Research and Journal of Hazardous Materials.

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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