Grażyna Pietsz
- Insect Science top 2%
- Food Science top 5%
- Molecular Biology
- Plant Science
- Pharmacology top 10%
- Co-authors
- Zenon CzubaWojciech KrólS SchellerJan KowalskiMonika Paul-SamojednyArkadiusz SamojednyTadeusz WilczokJ. Shani
- Topics
- Bee Products Chemical Analysis (7 papers)Essential Oils and Antimicrobial Activity (6 papers)Medical and Biological Ozone Research (3 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Grażyna Pietsz
14 papers receiving 571 citations
Peers
Comparison fields: 5 of 82
- Insect Science 246
- Food Science 194
- Molecular Biology 131
- Plant Science 128
- Pharmacology 94
Countries citing papers authored by Grażyna Pietsz
This map shows the geographic impact of Grażyna Pietsz'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 Grażyna Pietsz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grażyna Pietsz more than expected).
Fields of papers citing papers by Grażyna Pietsz
This network shows the impact of papers produced by Grażyna Pietsz. 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 Grażyna Pietsz. The network helps show where Grażyna Pietsz may publish in the future.
Co-authorship network of co-authors of Grażyna Pietsz
This figure shows the co-authorship network connecting the top 25 collaborators of Grażyna Pietsz. A scholar is included among the top collaborators of Grażyna Pietsz 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 Grażyna Pietsz. Grażyna Pietsz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | Effect of apigenin, kaempferol and resveratrol on the expression of interleukin-1beta and tumor necrosis factor-alpha genes in J774.2 macrophages. | 120 |
| 9 | [Apigenin inhibits release and gene expression of monocyte chemoattractant protein 1 (MCP-1) in J774.2 macrophages]. | 6 |
| 10 | Effect of kaempferol on the production and gene expression of monocyte chemoattractant protein-1 in J774.2 macrophages. | 46 |
| 11 | 121 | |
| 12 | Synthesis and tumoricidal activity evaluation of new morin and quercetin sulfonic derivatives. | 30 |
| 13 | 79 | |
| 14 | Synergistic effect of ethanolic extract of propolis and antibiotics on the growth of staphylococcus aureus. | 115 |
| 15 | 51 |
About Grażyna Pietsz
Grażyna Pietsz is a scholar working on Insect Science, Pharmacology and Biochemistry, having authored 15 papers that have together received 602 indexed citations. Recurring topics across this work include Bee Products Chemical Analysis (7 papers), Essential Oils and Antimicrobial Activity (6 papers) and Medical and Biological Ozone Research (3 papers). The work is most often cited by research in Insect Science (246 citations), Biochemistry (86 citations) and Food Science (194 citations). Grażyna Pietsz has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Zenon Czuba, Wojciech Król, S Scheller, Jan Kowalski, Monika Paul-Samojedny, Arkadiusz Samojedny, Tadeusz Wilczok, J. Shani, Joanna Bronikowska and Marzenna Blonska. Their work appears in journals such as Molecules, Biochemical Pharmacology and Nutrients.
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.