Grażyna Sygitowicz

1.5k citations
51 papers · 866 · h-index 17

Impact in

Papers in

    • Circular RNAs in diseases 5
    • MicroRNA in disease regulation 7
    • Cancer, Lipids, and Metabolism 4
    • Cancer-related molecular mechanisms research 3

Grażyna Sygitowicz

48 papers receiving 837 citations

Peers

Grażyna Sygitowicz
Comparison fields: 5 of 89
  • Cancer Research 194
  • Cardiology and Cardiovascular Medicine 178
  • Immunology 105
  • Molecular Biology 312
  • Microbiology 20
Replace Jianhua Yu with:
Jianhua Yu China
Limin Chai China
José Basílio Austria
Xiaoyu Ren China
Liping Meng China
Guiyou Liang China
Jiagao Lv China
Weihong Sha China
Kristina Yeghiazaryan Germany
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Citations per field
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Citations per year

Countries citing papers authored by Grażyna Sygitowicz

Since Specialization
Citations

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

Fields of papers citing papers by Grażyna Sygitowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 202062
3 202156
4 201556
5 202154
6 201853
7 202353
8 202043
9 201539
10 201838
11 201631
12 201331
13 202028
14 202228
15 202221
16 201620
17 202018
18 202216
19 200116
20 200815

About Grażyna Sygitowicz

Grażyna Sygitowicz is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 866 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (8 papers), MicroRNA in disease regulation (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Circular RNAs in diseases (5 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Vitamin D Research Studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (194 citations), Cardiology and Cardiovascular Medicine (178 citations), Immunology (105 citations), Molecular Biology (312 citations) and Microbiology (20 citations). Grażyna Sygitowicz has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Dariusz Sitkiewicz, Agata Maciejak, Łukasz Kołtowski, Ewa Pilichowska‐Paszkiet, Krzysztof J. Filipiak‬, Beata Zaborska, Andrzej Budaj, Małgorzata Bondaryk, Ewa Swoboda‐Kopeć and Monika Staniszewska. Their work appears in journals such as International Journal of Molecular Sciences, Advances in Clinical and Experimental Medicine, Journal of Clinical Medicine, Scientific Reports and Archives of Medical Science.

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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