Malgorzata Przybylska

1.2k citations
16 papers · 1.0k indexed · h-index 13
Topics
RNA Interference and Gene Delivery (5 papers)Metabolism and Genetic Disorders (3 papers)Lysosomal Storage Disorders Research (3 papers)

In The Last Decade

Malgorzata Przybylska

16 papers receiving 954 citations

Peers

Malgorzata Przybylska
Comparison fields: 5 of 80
  • Molecular Biology 760
  • Genetics 325
  • Physiology 195
  • Immunology 157
  • Epidemiology 102
Replace Katsuya Inagaki with:
Katsuya Inagaki Japan
Angel Ashikov Germany
Noaman Hasan United States
T M Townes United States
Mark Whitmore United States
Eva Derman United States
Babak Oskouian United States
Carlos M. Farinha Portugal
W. Held United States
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Malgorzata Przybylska relative to Katsuya Inagaki Japan Katsuya Inagaki's profile →
Citations per field
00.5×2.6×
Katsuya Inagaki · 1×
Citations per year

Countries citing papers authored by Malgorzata Przybylska

Since Specialization
Citations

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

Fields of papers citing papers by Malgorzata Przybylska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malgorzata Przybylska

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 5
2 35
3 12
4 21
5 28
6 77
7 200
8 15
9 23
10 181
11 182
12 158
13 6
14 22
15 34
16 17

About Malgorzata Przybylska

Malgorzata Przybylska is a scholar working on Clinical Biochemistry, Biochemistry and Physiology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Metabolism and Genetic Disorders (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Genetics (325 citations), Molecular Biology (760 citations) and Physiology (195 citations). Malgorzata Przybylska has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Nelson S. Yew, Seng H. Cheng, Jennifer D. Tousignant, I‐Huan Wu, Hongmei Zhao, Ronald K. Scheule, Craig Siegel, Hongmei Zhao, Antonius Song and Jinhua Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

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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