Didem Peren Aykas

1.0k total citations
38 papers, 735 citations indexed

About

Didem Peren Aykas is a scholar working on Analytical Chemistry, Animal Science and Zoology and Biomedical Engineering. According to data from OpenAlex, Didem Peren Aykas has authored 38 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 11 papers in Animal Science and Zoology and 11 papers in Biomedical Engineering. Recurrent topics in Didem Peren Aykas's work include Spectroscopy and Chemometric Analyses (28 papers), Advanced Chemical Sensor Technologies (11 papers) and Meat and Animal Product Quality (11 papers). Didem Peren Aykas is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Advanced Chemical Sensor Technologies (11 papers) and Meat and Animal Product Quality (11 papers). Didem Peren Aykas collaborates with scholars based in Türkiye, United States and Brazil. Didem Peren Aykas's co-authors include Luis Rodriguez‐Saona, Alejandra Urtubia, Kevin V. Hackshaw, Joseph Miller, Luiz Alberto Colnago, Marcos David Ferreira, Marçal Plans, M. Mónica Giusti, Siyu Yao and Ayşe Demet Karaman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Didem Peren Aykas

36 papers receiving 725 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Didem Peren Aykas Türkiye 18 390 227 187 159 148 38 735
Klavs Martin Sørensen Denmark 15 277 0.7× 179 0.8× 182 1.0× 201 1.3× 122 0.8× 32 665
John‐Lewis Zinia Zaukuu Hungary 17 325 0.8× 315 1.4× 161 0.9× 185 1.2× 71 0.5× 49 682
Ana Paula Craig Brazil 11 251 0.6× 272 1.2× 234 1.3× 161 1.0× 115 0.8× 15 935
N. Sinelli Italy 13 371 1.0× 328 1.4× 255 1.4× 94 0.6× 74 0.5× 20 776
Ramón Aparicio Spain 10 544 1.4× 256 1.1× 307 1.6× 133 0.8× 144 1.0× 11 928
Gayatri Mishra India 15 310 0.8× 179 0.8× 158 0.8× 65 0.4× 89 0.6× 40 662
Denis Ollivier France 8 432 1.1× 219 1.0× 194 1.0× 135 0.8× 71 0.5× 15 708
Salvatore Cervellieri Italy 14 253 0.6× 180 0.8× 131 0.7× 118 0.7× 72 0.5× 28 588
Diding Suhandy Indonesia 15 310 0.8× 192 0.8× 187 1.0× 60 0.4× 58 0.4× 90 708
Hasan Murat Velioğlu Türkiye 14 380 1.0× 171 0.8× 130 0.7× 334 2.1× 83 0.6× 23 692

Countries citing papers authored by Didem Peren Aykas

Since Specialization
Citations

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

Fields of papers citing papers by Didem Peren Aykas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Didem Peren Aykas. 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 Didem Peren Aykas. The network helps show where Didem Peren Aykas may publish in the future.

Co-authorship network of co-authors of Didem Peren Aykas

This figure shows the co-authorship network connecting the top 25 collaborators of Didem Peren Aykas. A scholar is included among the top collaborators of Didem Peren Aykas 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 Didem Peren Aykas. Didem Peren Aykas 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
1.
Castellví, Sílvia de Lamo, et al.. (2025). Application of handheld near infrared device for in-plant quality assessment of tomato paste samples. Journal of Agriculture and Food Research. 21. 101974–101974. 1 indexed citations
2.
Aykas, Didem Peren & Luis Rodriguez‐Saona. (2024). What’s in Your Fruit Juice?—Rapid Quality Screening Based on Infrared (FT-IR) Spectroscopy. Applied Sciences. 14(4). 1654–1654. 2 indexed citations
3.
Aykas, Didem Peren. (2023). Determination of Possible Adulteration and Quality Assessment in Commercial Honey. Foods. 12(3). 523–523. 17 indexed citations
4.
Aykas, Didem Peren, et al.. (2023). Determination of quality traits and possible adulteration of molasses using FT-IR spectroscopy: A study from Turkish market. Food Chemistry. 427. 136727–136727. 6 indexed citations
5.
Aykas, Didem Peren, et al.. (2023). Monitoring Turkish white cheese ripening by portable FT-IR spectroscopy. Frontiers in Nutrition. 10. 1107491–1107491. 19 indexed citations
6.
Zhu, K. J., et al.. (2022). Nutritional quality screening of oat groats by vibrational spectroscopy using field-portable instruments. Journal of Cereal Science. 107. 103520–103520. 11 indexed citations
7.
8.
Yao, Siyu, et al.. (2022). A novel handheld FT-NIR spectroscopic approach for real-time screening of major cannabinoids content in hemp. Talanta. 247. 123559–123559. 20 indexed citations
9.
Karaman, Ayşe Demet, et al.. (2021). Evaluating the Impact of Covid-19 Pandemic on Nutritional Habits and Supplementary Food Use in Dietetic Students. Acta Scientifci Nutritional Health. 81–95. 1 indexed citations
10.
Aykas, Didem Peren, et al.. (2021). Monitoring the ripening attributes of Turkish white cheese using miniaturized vibrational spectrometers. Journal of Dairy Science. 105(1). 40–55. 19 indexed citations
11.
12.
Aykas, Didem Peren, et al.. (2020). Non-Destructive Quality Assessment of Tomato Paste by Using Portable Mid-Infrared Spectroscopy and Multivariate Analysis. Foods. 9(9). 1300–1300. 20 indexed citations
13.
Plans, Marçal, et al.. (2020). Application of Mid-Infrared Portable Spectrometer for the Rapid Determination of Trans-Fatty Acid Content in Lipid Extracts of Snack and Bakery Products. Journal of AOAC International. 104(1). 29–38. 5 indexed citations
14.
Spricigo, Poliana Cristina, et al.. (2020). Non-invasive quantification of vitamin C, citric acid, and sugar in ‘Valência’ oranges using infrared spectroscopies. Journal of Food Science and Technology. 58(2). 731–738. 29 indexed citations
15.
Aykas, Didem Peren, et al.. (2020). Non-targeted approach to detect green pea and peanut adulteration in pistachio by using portable FT-IR, and UV–Vis spectroscopy. Journal of Food Measurement & Characterization. 15(2). 1075–1082. 12 indexed citations
16.
Aykas, Didem Peren, et al.. (2020). Authentication of commercial honeys based on Raman fingerprinting and pattern recognition analysis. Food Control. 117. 107346–107346. 41 indexed citations
17.
Hackshaw, Kevin V., Didem Peren Aykas, Gregory T. Sigurdson, et al.. (2018). Metabolic fingerprinting for diagnosis of fibromyalgia and other rheumatologic disorders. Journal of Biological Chemistry. 294(7). 2555–2568. 48 indexed citations
18.
Ozturkoglu‐Budak, Sebnem, et al.. (2018). Temporal microbiota and biochemical profiles during production and ripening of Divle Cave cheese. International Journal of Dairy Technology. 71(S1). 99–106. 3 indexed citations
19.
Aykas, Didem Peren & Luis Rodriguez‐Saona. (2015). Assessing potato chip oil quality using a portable infrared spectrometer combined with pattern recognition analysis. Analytical Methods. 8(4). 731–741. 25 indexed citations
20.
Wang, Ting, et al.. (2015). Authentication of Whey Protein Powders by Portable Mid‐Infrared Spectrometers Combined with Pattern Recognition Analysis. Journal of Food Science. 80(10). C2111–6. 19 indexed citations

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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