Ewa Jasek-Gajda

535 citations
36 papers · 430 indexed · h-index 14

Ewa Jasek-Gajda

34 papers receiving 426 citations

Peers

Ewa Jasek-Gajda
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 45
  • Biochemistry 34
  • Cellular and Molecular Neuroscience 64
  • Nephrology 19
  • Cognitive Neuroscience 51
Replace Daniela Pretti da Cunha Tirapelli with:
Daniela Pretti da Cunha Tirapelli Brazil
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Citations per year

Countries citing papers authored by Ewa Jasek-Gajda

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Jasek-Gajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewa Jasek-Gajda. 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 Ewa Jasek-Gajda. The network helps show where Ewa Jasek-Gajda may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ewa Jasek-Gajda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ewa Jasek-Gajda Line = papers co-authored together Ewa Jasek-Gajda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20225
3 20207
4 201918
5 201910
6 201816
7 201720
8 201722
9 201527
10
Elevated serum osteoprotegerin is associated with decreased osteoclastic differentiation in stenotic aortic valves.
20147
11 201414
12 201417
13
Combinatorial effects of PARP inhibitor PJ34 and histone deacetylase inhibitor vorinostat on leukemia cell lines.
201420
14
Effect of nebivolol treatment on atherosclerotic plaque components in apoE-knockout mice.
20136
15 201315
16 20125
17 20103
18 200912
19 20081
20 200819

About Ewa Jasek-Gajda

Ewa Jasek-Gajda is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Sulfur Compounds in Biology (5 papers), Neural dynamics and brain function (4 papers), Retinoids in leukemia and cellular processes (3 papers), Hemostasis and retained surgical items (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (45 citations), Biochemistry (34 citations) and Cellular and Molecular Neuroscience (64 citations). Ewa Jasek-Gajda has collaborated with scholars based in Poland, Austria and United States. Frequent co-authors include Małgorzata Jasińska, Jan A. Litwin, Grzegorz Lis, Halina Jurkowska, Mariusz Gajda, Elżbieta Pyza, Małgorzata Kossut, Maria Wróbel, Olga Woźnicka and Agnieszka Jasztal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

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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