Beata Greb‐Markiewicz

467 citations
21 papers · 313 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 2
    • Insect Resistance and Genetics 2
    • Protein Structure and Dynamics 2
    • Neurobiology and Insect Physiology Research 5

Beata Greb‐Markiewicz

19 papers receiving 306 citations

Peers

Beata Greb‐Markiewicz
Comparison fields: 5 of 62
  • Biotechnology 25
  • Cellular and Molecular Neuroscience 50
  • Molecular Biology 175
  • Plant Science 78
  • Biochemistry 12
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Citations per year

Countries citing papers authored by Beata Greb‐Markiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Beata Greb‐Markiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beata Greb‐Markiewicz, 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 Beata Greb‐Markiewicz Line = papers co-authored together Beata Greb‐Markiewicz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200279
2 202258
3 201932
4 201931
5 201121
6 201512
7 200811
8 202111
9 20199
10 20199
11 20208
12 20167
13 20187
14 20236
15 20216
16 20053
17 20251
18 20251
19 20151
20 20250

About Beata Greb‐Markiewicz

Beata Greb‐Markiewicz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Plant Science and Insect Science, having authored 21 papers that have together received 313 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Neurobiology and Insect Physiology Research (5 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Insect Resistance and Genetics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Biotechnology (25 citations), Cellular and Molecular Neuroscience (50 citations), Molecular Biology (175 citations), Plant Science (78 citations) and Biochemistry (12 citations). Beata Greb‐Markiewicz has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include W Peczyńska-Czoch, Jolanta Bryjak, Andrzej Ożyhar, Mirosław Zarębski, Vincent Parissi, Christina Ernst, Wai‐Lung Ng, Jurek Dobrucki, Danuta Duś and Jakub Godlewski. Their work appears in journals such as International Journal of Molecular Sciences, Cell Communication and Signaling, Molecular and Cellular Endocrinology, PLoS ONE and Journal of Biological Chemistry.

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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