Jan Sędzik

589 citations
32 papers · 488 · h-index 10

Impact in

    • Glycosylation and Glycoproteins Research
    • Peroxisome Proliferator-Activated Receptors
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • RNA Research and Splicing

Papers in

    • Glycosylation and Glycoproteins Research 11
    • RNA Research and Splicing 4
    • Protein Structure and Dynamics 3
    • Protein purification and stability 3
    • Signaling Pathways in Disease 2
    • Enzyme Structure and Function 10

Jan Sędzik

29 papers receiving 474 citations

Peers

Jan Sędzik
Comparison fields: 5 of 74
  • Cell Biology 103
  • Molecular Biology 357
  • Cellular and Molecular Neuroscience 93
  • Developmental Neuroscience 20
  • Structural Biology 6
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Citations per year

Countries citing papers authored by Jan Sędzik

Since Specialization
Citations

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

Fields of papers citing papers by Jan Sędzik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988191
2 198456
3 199937
4 198424
5 198524
6 200616
7 200311
8 201411
9 19959
10 19959
11 20119
12 19988
13 19998
14 19957
15 19887
16 19947
17 20097
18 20137
19 20006
20 20085

About Jan Sędzik

Jan Sędzik is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 488 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Enzyme Structure and Function (10 papers), RNA Research and Splicing (4 papers), Hereditary Neurological Disorders (3 papers), Protein Structure and Dynamics (3 papers), Protein purification and stability (3 papers), Galectins and Cancer Biology (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cell Biology (103 citations), Molecular Biology (357 citations), Cellular and Molecular Neuroscience (93 citations), Developmental Neuroscience (20 citations) and Structural Biology (6 citations). Jan Sędzik has collaborated with scholars based in Sweden, Japan and United States. Frequent co-authors include T. Alwyn Jones, Terese Bergfors, Torsten Unge, A.E. Blaurock, M. Höchli, Keiichi Uyemura, J Jastrzebski, Mathias Hoechli, Hiro Tsuruta and Daniel A. Kirschner. Their work appears in journals such as Journal of Neurochemistry, Neurochemical Research, Neuroreport, Journal of Molecular Biology and Analytical and Bioanalytical 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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