Devrim Kaya

1.1k citations
32 papers · 589 · 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

32 papers receiving 573 citations

Peers

Devrim Kaya
Comparison fields: 5 of 86
  • Infectious Diseases 306
  • Pollution 104
  • Virology 37
  • Biomedical Engineering 234
  • Health, Toxicology and Mutagenesis 64
Replace Rasha Maal‐Bared with:
Rasha Maal‐Bared Canada
Anna-Maria Hokajärvi Finland
Leonard W. Casson United States
Md Ariful Islam Juel Bangladesh
Bradley W. Schmitz United States
Zhenyu Wu United States
Laura Bruni Italy
Sílvia Monteiro Portugal
Ricardo Santos Portugal
B. E. Moore United States
Devrim Kaya relative to Rasha Maal‐Bared Canada Rasha Maal‐Bared's profile →
Citations per field
00.5×4.1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 202173
3 202258
4 202149
5 200733
6 201728
7 202228
8 202127
9 201623
10 201922
11 202222
12 201917
13 202214
14 202213
15 201311
16 201110
17 200410
18 20229
19 20228
20 20048

About Devrim Kaya

Devrim Kaya is a scholar working on Biomedical Engineering, Infectious Diseases, Pollution, Environmental Engineering and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 589 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 (5 papers), Anaerobic Digestion and Biogas Production (3 papers), Toxic Organic Pollutants Impact (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 (306 citations), Pollution (104 citations), Virology (37 citations), Biomedical Engineering (234 citations) and Health, Toxicology and Mutagenesis (64 citations). Devrim Kaya has collaborated with scholars based in United States, Türkiye and Australia. 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 Celal F. Gökçay. Their work appears in journals such as The Science of The Total Environment, Chemosphere, Emerging infectious diseases, Journal of Hazardous Materials and Water Environment Research.

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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