Małgorzata Przybyło

1.1k citations
58 papers · 902 indexed · h-index 20
Topics
Glycosylation and Glycoproteins Research (25 papers)Extracellular vesicles in disease (16 papers)Cell Adhesion Molecules Research (12 papers)
Partner nations
PolandIndiaGermany

In The Last Decade

Małgorzata Przybyło

55 papers receiving 886 citations

Peers

Małgorzata Przybyło
Comparison fields: 5 of 95
  • Molecular Biology 709
  • Immunology 298
  • Cancer Research 155
  • Cell Biology 138
  • Immunology and Allergy 125
Replace Tomoaki Niimi with:
Tomoaki Niimi Japan
Alexandre M. Carmo Portugal
Stephanie Shriver United States
Jeffery L. Keene United States
Xuan Cao China
Suyong Choi United States
Christina Meyer United States
Maiko Higuchi Japan
Emiko Mihara Japan
Susana Gordo United States
Małgorzata Przybyło relative to Tomoaki Niimi Japan Tomoaki Niimi's profile →
Citations per field
00.5×1.5×2.1×
Tomoaki Niimi · 1×
Citations per year

Countries citing papers authored by Małgorzata Przybyło

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Przybyło

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Przybyło

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Przybyło. A scholar is included among the top collaborators of Małgorzata Przybyło 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 Małgorzata Przybyło. Małgorzata Przybyło is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 2
4 18
5 6
6 2
7 33
8 18
9 16
10 12
11 33
12 4
13 4
14 21
15 18
16 24
17 32
18
Identification of PNA-positive proteins in the primary uveal melanoma cell line by mass spectrometry
4
19 8
20 4

About Małgorzata Przybyło

Małgorzata Przybyło is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 58 papers that have together received 902 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (25 papers), Extracellular vesicles in disease (16 papers) and Cell Adhesion Molecules Research (12 papers). The work is most often cited by research in Immunology and Allergy (125 citations), Immunology (298 citations) and Molecular Biology (709 citations). Małgorzata Przybyło has collaborated with scholars based in Poland, India and Germany. Frequent co-authors include Anna Lityń́ska, Ewa Stępień, Dorota Hoja-Łukowicz, Magdalena Surman, Ewa Pocheć, Piotr Laidler, Anna Drożdż, Marcelina Janik, S. Wróbel and Paweł Link‐Lenczowski. Their work appears in journals such as Brain Research, International Journal of Molecular Sciences and Molecules.

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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