Kinga Stuper‐Szablewska

2.5k total citations
151 papers, 1.9k citations indexed

About

Kinga Stuper‐Szablewska is a scholar working on Plant Science, Biochemistry and Food Science. According to data from OpenAlex, Kinga Stuper‐Szablewska has authored 151 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Plant Science, 39 papers in Biochemistry and 37 papers in Food Science. Recurrent topics in Kinga Stuper‐Szablewska's work include Phytochemicals and Antioxidant Activities (37 papers), Mycotoxins in Agriculture and Food (36 papers) and Agriculture, Plant Science, Crop Management (20 papers). Kinga Stuper‐Szablewska is often cited by papers focused on Phytochemicals and Antioxidant Activities (37 papers), Mycotoxins in Agriculture and Food (36 papers) and Agriculture, Plant Science, Crop Management (20 papers). Kinga Stuper‐Szablewska collaborates with scholars based in Poland, Egypt and China. Kinga Stuper‐Szablewska's co-authors include J. Perkowski, Anna Przybylska‐Balcerek, Danuta Kurasiak‐Popowska, Maciej Buśko, Tomasz Szablewski, Renata Cegielska‐Radziejewska, Lidia Szwajkowska‐Michałek, Tomasz Rogoziński, Jakub Frankowski and Tomasz Góral and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kinga Stuper‐Szablewska

139 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kinga Stuper‐Szablewska Poland 25 885 546 394 253 221 151 1.9k
Xiangjun Fang China 29 1.4k 1.6× 652 1.2× 424 1.1× 388 1.5× 233 1.1× 81 2.4k
Weijie Wu China 28 918 1.0× 603 1.1× 323 0.8× 380 1.5× 366 1.7× 110 2.1k
Wenqiang Guan China 30 931 1.1× 935 1.7× 564 1.4× 468 1.8× 251 1.1× 81 2.4k
Marta Helena Fillet Spoto Brazil 23 777 0.9× 722 1.3× 239 0.6× 174 0.7× 248 1.1× 135 1.6k
Xiuxiu Sun United States 28 749 0.8× 803 1.5× 318 0.8× 353 1.4× 126 0.6× 94 2.3k
Jéssica Fernanda Hoffmann Brazil 24 664 0.8× 648 1.2× 428 1.1× 199 0.8× 415 1.9× 76 1.7k
Riccardo Massantini Italy 27 910 1.0× 642 1.2× 373 0.9× 202 0.8× 410 1.9× 98 2.1k
Yanan Sun China 24 734 0.8× 795 1.5× 272 0.7× 413 1.6× 171 0.8× 77 2.2k
Rongrong Wang China 25 696 0.8× 753 1.4× 181 0.5× 346 1.4× 379 1.7× 147 2.0k
Shenghua Ding China 28 745 0.8× 1.1k 2.0× 302 0.8× 253 1.0× 283 1.3× 100 2.1k

Countries citing papers authored by Kinga Stuper‐Szablewska

Since Specialization
Citations

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

Fields of papers citing papers by Kinga Stuper‐Szablewska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kinga Stuper‐Szablewska. 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 Kinga Stuper‐Szablewska. The network helps show where Kinga Stuper‐Szablewska may publish in the future.

Co-authorship network of co-authors of Kinga Stuper‐Szablewska

This figure shows the co-authorship network connecting the top 25 collaborators of Kinga Stuper‐Szablewska. A scholar is included among the top collaborators of Kinga Stuper‐Szablewska 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 Kinga Stuper‐Szablewska. Kinga Stuper‐Szablewska 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.
Kawalerczyk, Jakub, et al.. (2025). Coffee silverskin and cocoa pod husk modified with methacrylic acid as fillers for the urea-formaldehyde resin in plywood production. European Journal of Wood and Wood Products. 83(2). 2 indexed citations
2.
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Przybylska‐Balcerek, Anna, et al.. (2025). Behavior at Air/Water Interface and Oxidative Stability of Vegetable Oils Analyzed Through Langmuir Monolayer Technique. Molecules. 30(1). 170–170. 2 indexed citations
4.
Wieruszewski, Marek, et al.. (2024). Changes in the Characteristics of Pine Logging Residue during Storage in Forest Stands. Energies. 17(4). 843–843.
5.
Szczepaniak, Oskar, Barbara Stachowiak, Henryk H. Jeleń, et al.. (2024). The Contribution of Cornelian Cherry (Cornus mas L.) Alcoholic Beverages on the Sensory, Nutritional and Anti-Nutritional Characteristics—In Vitro and In Silico Approaches. Processes. 12(1). 237–237. 1 indexed citations
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Mirski, Radosław, et al.. (2024). The effect of using wood chips exposed to mold fungi on the properties of chipboard. Wood Material Science and Engineering. 19(4). 920–930. 1 indexed citations
8.
Kawalerczyk, Jakub, Dorota Dukarska, Petar Antov, et al.. (2024). Activated Carbon from Coconut Shells as a Modifier of Urea–Formaldehyde Resin in Particleboard Production. Applied Sciences. 14(13). 5627–5627. 10 indexed citations
9.
Wachowska, Urszula, et al.. (2023). A method for reducing the concentrations of Fusarium graminearum trichothecenes in durum wheat grain with the use of Debaryomyces hansenii. International Journal of Food Microbiology. 397. 110211–110211. 2 indexed citations
10.
Hejdysz, Marcin, S. Nowaczewski, Tomasz Szablewski, et al.. (2023). Influence of the genotype of the hen (Gallus gallus domesticus) on main parameters of egg quality, chemical composition of the eggs under uniform environmental conditions. Poultry Science. 103(1). 103165–103165. 9 indexed citations
11.
Buśko, Maciej, Henryk H. Jeleń, Kinga Stuper‐Szablewska, et al.. (2023). The Effect of Organic and Conventional Cultivation Systems on the Profile of Volatile Organic Compounds in Winter Wheat Grain, Including Susceptibility to Fusarium Head Blight. Metabolites. 13(10). 1045–1045. 2 indexed citations
12.
Kierończyk, Bartosz, et al.. (2023). Black Soldier Fly Larva Fat in Broiler Chicken Diets Affects Breast Meat Quality. Animals. 13(7). 1137–1137. 16 indexed citations
13.
Suchowilska, Elżbieta, Marian Wiwart, Anna Przybylska‐Balcerek, & Kinga Stuper‐Szablewska. (2021). The profile of bioactive compounds in the grain of various x Tritordeum genotypes. Journal of Cereal Science. 102. 103352–103352. 13 indexed citations
14.
15.
Kurasiak‐Popowska, Danuta & Kinga Stuper‐Szablewska. (2019). The phytochemical quality of Camelina sativa seed and oil. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 70(1). 39–47. 11 indexed citations
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17.
Stuper‐Szablewska, Kinga, et al.. (2019). Quantitative profile of phenolic acids and antioxidant activity of wheat grain exposed to stress. European Food Research and Technology. 245(8). 1595–1603. 27 indexed citations
18.
Góral, Tomasz, et al.. (2017). Wpływ inokulacji grzybami z rodzaju Fusarium na zawartość beta-sitosterolu w ziarnie różnych odmian pszenicy ozimej. Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin. 27–35. 1 indexed citations
19.
Kurasiak‐Popowska, Danuta, et al.. (2016). Phenolic acid content in wheat grain (Triticum spp) of different genotypes - Contenido de ácido fenólico (Triticum spp) de diferentes granos de trigo. Revista de la Facultad de Ciencias Agrarias UNCuyo. 1 indexed citations
20.
Stuper‐Szablewska, Kinga, et al.. (2010). Zanieczyszczenie zbóż grzybami mikroskopowymi oraz ich metabolitami zebranych na terenie Wielkopolski. 89–96. 1 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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