Anna Iwaniak

3.4k total citations · 1 hit paper
64 papers, 2.8k citations indexed

About

Anna Iwaniak is a scholar working on Molecular Biology, Food Science and Animal Science and Zoology. According to data from OpenAlex, Anna Iwaniak has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 17 papers in Food Science and 13 papers in Animal Science and Zoology. Recurrent topics in Anna Iwaniak's work include Protein Hydrolysis and Bioactive Peptides (49 papers), Meat and Animal Product Quality (13 papers) and Machine Learning in Bioinformatics (12 papers). Anna Iwaniak is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (49 papers), Meat and Animal Product Quality (13 papers) and Machine Learning in Bioinformatics (12 papers). Anna Iwaniak collaborates with scholars based in Poland, Norway and Philippines. Anna Iwaniak's co-authors include Piotr Mińkiewicz, Małgorzata Darewicz, J. Dziuba, Marta Dziuba, Dorota Nałȩcz, Bartłomiej Dziuba, Gerd E. Vegarud, Justyna Żulewska, Yoshinori Mine and Fereidoon Shahidi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Anna Iwaniak

62 papers receiving 2.7k citations

Hit Papers

BIOPEP-UWM Database of Bioactive Peptides: Current Opport... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Iwaniak Poland 22 2.4k 742 695 656 405 64 2.8k
Małgorzata Darewicz Poland 22 2.4k 1.0× 701 0.9× 658 0.9× 712 1.1× 414 1.0× 93 2.8k
Piotr Mińkiewicz Poland 25 2.7k 1.1× 775 1.0× 760 1.1× 813 1.2× 468 1.2× 92 3.2k
J. Dziuba Poland 20 1.2k 0.5× 343 0.5× 350 0.5× 558 0.9× 218 0.5× 71 1.5k
Jeanette Otte Denmark 38 2.6k 1.1× 714 1.0× 1.0k 1.5× 1.8k 2.8× 414 1.0× 73 3.7k
Mercedes Ramos Spain 39 3.0k 1.3× 868 1.2× 1.1k 1.6× 2.0k 3.0× 513 1.3× 83 4.1k
Naïma Nedjar‐Arroume France 28 2.4k 1.0× 1.0k 1.4× 827 1.2× 537 0.8× 113 0.3× 58 2.7k
Vanessa Vermeirssen Belgium 19 1.6k 0.7× 495 0.7× 267 0.4× 289 0.4× 166 0.4× 36 1.9k
René Lametsch Denmark 39 2.0k 0.8× 546 0.7× 2.4k 3.5× 1.1k 1.6× 494 1.2× 120 4.2k
Miguel Ángel Sentandreu Spain 33 2.0k 0.8× 772 1.0× 2.2k 3.2× 456 0.7× 209 0.5× 86 3.3k
Toshihide Nishimura Japan 22 1.4k 0.6× 455 0.6× 1.1k 1.5× 562 0.9× 491 1.2× 60 2.3k

Countries citing papers authored by Anna Iwaniak

Since Specialization
Citations

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

Fields of papers citing papers by Anna Iwaniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Iwaniak

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Iwaniak. A scholar is included among the top collaborators of Anna Iwaniak 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 Anna Iwaniak. Anna Iwaniak 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.
Mińkiewicz, Piotr, Anna Iwaniak, & Małgorzata Darewicz. (2024). Contemporary bioinformatics and cheminformatics support for food peptidomics. Current Opinion in Food Science. 56. 101125–101125. 5 indexed citations
2.
Iwaniak, Anna, Piotr Mińkiewicz, & Małgorzata Darewicz. (2024). Bioinformatics and bioactive peptides from foods: Do they work together?. Advances in food and nutrition research. 108. 35–111. 3 indexed citations
3.
Iwaniak, Anna, Małgorzata Darewicz, & Piotr Mińkiewicz. (2024). Prediction of the Potential of Food Proteins as Sources of Biopeptides Using BIOPEP-UWM Database. SHILAP Revista de lepidopterología. 352–352. 1 indexed citations
4.
Mińkiewicz, Piotr, Małgorzata Darewicz, & Anna Iwaniak. (2023). In Silico Analysis of Individual Fractions of Bovine Casein as Precursors of Bioactive Peptides—Influence of Post-Translational Modifications. Applied Sciences. 13(14). 8091–8091. 4 indexed citations
5.
Iwaniak, Anna, et al.. (2023). Analysis of Structure–Activity Relationships of Food-Derived DPP IV-Inhibitory Di- and Tripeptides Using Interpretable Descriptors. Applied Sciences. 13(23). 12935–12935. 3 indexed citations
6.
Iwaniak, Anna, et al.. (2022). An integrated approach to the analysis of antioxidative peptides derived from Gouda cheese with a modified β-casein content. Scientific Reports. 12(1). 13314–13314. 6 indexed citations
7.
Iwaniak, Anna, Wojciech Janczukowicz, & Joanna Rodziewicz. (2021). New Trends in Environmental Engineering, Agriculture, Food Production, and Analysis. Applied Sciences. 11(6). 2745–2745. 1 indexed citations
8.
9.
Iwaniak, Anna, et al.. (2016). BIOPEP database of sensory peptides and amino acids. Food Research International. 85. 155–161. 146 indexed citations
10.
Darewicz, Małgorzata, Anna Iwaniak, & Piotr Mińkiewicz. (2014). Biologically active peptides derived from milk proteins.. Medycyna Weterynaryjna. 70(6). 348–352. 10 indexed citations
11.
Iwaniak, Anna, et al.. (2014). Alergie pokarmowe i alergeny żywności. Bromatologia i Chemia Toksykologiczna. 47(2). 1 indexed citations
12.
Iwaniak, Anna, Piotr Mińkiewicz, & Małgorzata Darewicz. (2014). Biologicznie aktywne peptydy pochodzące z białek mleka. ACS Chemical Biology. 70(6). 1291–1298.
13.
Iwaniak, Anna & J. Dziuba. (2011). BIOPEP-PBIL Tool for the Analysis of the Structure of Biologically Active Motifs Derived from Food Proteins. SHILAP Revista de lepidopterología. 29 indexed citations
14.
Mińkiewicz, Piotr, et al.. (2009). Online Programs and Databases of Peptides and Proteolytic Enzymes – A Brief Update for 2007–2008. SHILAP Revista de lepidopterología. 9 indexed citations
15.
Iwaniak, Anna & J. Dziuba. (2009). Animal and plant proteins as precursors of peptides with ACE inhibitory activity - an in silico strategy of protein evaluation.. Food Technology and Biotechnology. 47(4). 441–449. 28 indexed citations
16.
Mińkiewicz, Piotr, J. Dziuba, Małgorzata Darewicz, et al.. (2008). Analiza peptida iz hrane. Food Technology and Biotechnology. 46(1). 1–10. 36 indexed citations
17.
Iwaniak, Anna & Piotr Mińkiewicz. (2008). Biologically active peptides derived from proteins - a review.. Polish Journal of Food and Nutrition Sciences. 58(3). 289–294. 11 indexed citations
18.
Dziuba, Marta, J. Dziuba, & Anna Iwaniak. (2007). Bioinformatics-aided characteristics of the structural motifs of selected potentially celiac-toxic proteins of cereals and leguminous plants. Polish Journal of Food and Nutrition Sciences. 57(4). 405–414. 4 indexed citations
19.
Dziuba, J., Anna Iwaniak, & Piotr Mińkiewicz. (2003). Computer-aided characteristics of proteins as potential precursors of bioactive peptides SO POLIMERY. Polimery. 50–53. 3 indexed citations
20.
Dziuba, J., et al.. (2002). Computer simulation of animal proteins proteolysis in the aspect of bioactive peptides obtaining. Polish Journal of Natural Science. 10. 2 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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