Beata Jarmołowska

44 total papers · 1.1k total citations
36 papers, 811 citations indexed

About

Beata Jarmołowska is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Beata Jarmołowska has authored 36 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Beata Jarmołowska's work include Protein Hydrolysis and Bioactive Peptides (14 papers), Neuropeptides and Animal Physiology (8 papers) and Asthma and respiratory diseases (8 papers). Beata Jarmołowska is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (14 papers), Neuropeptides and Animal Physiology (8 papers) and Asthma and respiratory diseases (8 papers). Beata Jarmołowska collaborates with scholars based in Poland and Netherlands. Beata Jarmołowska's co-authors include Elżbieta Kostyra, Ewa Fiedorowicz, Anna Cieślińska, Edyta Sienkiewicz‐Szłapka, H. Kostyra, Natalia Kordulewska, M Kaczmarski, Magdalena Iwan, Huub F. J. Savelkoul and Jolanta Wasilewska and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and European Journal of Pharmacology.

In The Last Decade

Beata Jarmołowska

36 papers receiving 780 citations

Author Peers

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

Author Last Decade Papers Cites
Beata Jarmołowska 430 174 168 137 133 36 811
Ewa Fiedorowicz 303 0.7× 133 0.8× 126 0.8× 168 1.2× 64 0.5× 39 862
Jean Claustre 352 0.8× 229 1.3× 160 1.0× 151 1.1× 79 0.6× 28 888
H. Kostyra 467 1.1× 167 1.0× 296 1.8× 63 0.5× 80 0.6× 44 752
Andrew Clarke 380 0.9× 131 0.8× 131 0.8× 169 1.2× 23 0.2× 30 996
Lone Tjener Pallesen 373 0.9× 147 0.8× 61 0.4× 78 0.6× 253 1.9× 20 929
Anna Maria Caroli 449 1.0× 143 0.8× 301 1.8× 345 2.5× 58 0.4× 22 970
H. Koyama 256 0.6× 180 1.0× 118 0.7× 48 0.4× 86 0.6× 38 864
Lynn Thomson 314 0.7× 123 0.7× 72 0.4× 81 0.6× 103 0.8× 33 1.0k
Fumiko Higashikawa 520 1.2× 145 0.8× 158 0.9× 200 1.5× 26 0.2× 34 1.0k
Yu Ishida 401 0.9× 115 0.7× 333 2.0× 57 0.4× 56 0.4× 51 1.0k

Countries citing papers authored by Beata Jarmołowska

Since Specialization
Citations

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

Fields of papers citing papers by Beata Jarmołowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Jarmołowska

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