Daniela Gwiazdowska

85 total papers · 1.0k total citations
47 papers, 709 citations indexed

About

Daniela Gwiazdowska is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Daniela Gwiazdowska has authored 47 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Food Science, 17 papers in Plant Science and 11 papers in Nutrition and Dietetics. Recurrent topics in Daniela Gwiazdowska's work include Mycotoxins in Agriculture and Food (10 papers), Essential Oils and Antimicrobial Activity (10 papers) and Microbial Metabolites in Food Biotechnology (9 papers). Daniela Gwiazdowska is often cited by papers focused on Mycotoxins in Agriculture and Food (10 papers), Essential Oils and Antimicrobial Activity (10 papers) and Microbial Metabolites in Food Biotechnology (9 papers). Daniela Gwiazdowska collaborates with scholars based in Poland, China and Taiwan. Daniela Gwiazdowska's co-authors include Krzysztof Juś, Katarzyna Marchwińska, Agnieszka Waśkiewicz, Romuald Gwiazdowski, Marian Filipiak, Juliusz Pernak, Marta Ligaj, Damian Krystian Kaczmarek, Katarzyna Materna and Daria Wieczorek and has published in prestigious journals such as Electrochimica Acta, Molecules and Frontiers in Microbiology.

In The Last Decade

Daniela Gwiazdowska

43 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Daniela Gwiazdowska	282	227	188	92	87	47	709
Abdelaziz Elamrani	330 1.2×	252 1.1×	162 0.9×	66 0.7×	111 1.3×	50	682
Caroline Marques	229 0.8×	128 0.6×	118 0.6×	101 1.1×	20 0.2×	34	644
Luís Flávio Souza de Oliveira	205 0.7×	188 0.8×	121 0.6×	53 0.6×	83 1.0×	57	681
T. Rajasekaran	137 0.5×	320 1.4×	249 1.3×	122 1.3×	32 0.4×	40	766
Fengping Yi	295 1.0×	99 0.4×	107 0.6×	51 0.6×	111 1.3×	38	652
Vikash Chandra Roy	203 0.7×	86 0.4×	206 1.1×	87 0.9×	45 0.5×	40	750
Óscar González-Ríos	382 1.4×	298 1.3×	81 0.4×	69 0.8×	18 0.2×	29	903
Valentina Pavić	159 0.6×	174 0.8×	110 0.6×	77 0.8×	166 1.9×	38	693
Fakhra Liaqat	104 0.4×	219 1.0×	323 1.7×	38 0.4×	60 0.7×	25	816
Emil Zlatić	338 1.2×	345 1.5×	173 0.9×	73 0.8×	31 0.4×	39	877

Countries citing papers authored by Daniela Gwiazdowska

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Gwiazdowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Gwiazdowska

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Gwiazdowska. A scholar is included among the top collaborators of Daniela Gwiazdowska 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 Daniela Gwiazdowska. Daniela Gwiazdowska 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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