Jan Sędzik
Impact in
- Cell Biology top 10%
-
- Hereditary Neurological Disorders
Papers in
-
- Glycosylation and Glycoproteins Research 12
- RNA Research and Splicing 4
- Protein Structure and Dynamics 3
- Protein purification and stability 3
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- Enzyme Structure and Function 10
- Co-authors
- Terese Bergfors (3 shared papers)T. Alwyn Jones (2 shared papers)Torsten Unge (2 shared papers)A.E. Blaurock (4 shared papers)M. Höchli (1 shared paper)Keiichi Uyemura (5 shared papers)J Jastrzebski (4 shared papers)Mathias Hoechli (1 shared paper)
- Journals
- Journal of Neurochemistry (5 papers)Neurochemical Research (2 papers)Neuroreport (2 papers)Journal of Molecular Biology (2 papers)The Keio Journal of Medicine (1 paper)
- Partner nations
- SwedenJapanUnited States
In The Last Decade
Jan Sędzik
31 papers receiving 511 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 108
- Cellular and Molecular Neuroscience 107
- Molecular Biology 381
- Developmental Neuroscience 19
- Structural Biology 6
Countries citing papers authored by Jan Sędzik
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
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.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 214 | |
| 2 | 1984 | 58 | |
| 3 | 1999 | 40 | |
| 4 | 1985 | 27 | |
| 5 | 1984 | 24 | |
| 6 | 2006 | 17 | |
| 7 | 2014 | 12 | |
| 8 | 1998 | 12 | |
| 9 | 1995 | 11 | |
| 10 | 2011 | 11 | |
| 11 | 2003 | 11 | |
| 12 | 1995 | 9 | |
| 13 | 1999 | 8 | |
| 14 | 2000 | 8 | |
| 15 | 1994 | 8 | |
| 16 | 1988 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 1995 | 7 | |
| 19 | 2009 | 7 | |
| 20 | 1997 | 5 |
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 33 papers that have together received 535 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Enzyme Structure and Function (10 papers), RNA Research and Splicing (4 papers), Protein Structure and Dynamics (3 papers), Hereditary Neurological Disorders (3 papers), Protein purification and stability (3 papers), Galectins and Cancer Biology (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (108 citations), Cellular and Molecular Neuroscience (107 citations), Molecular Biology (381 citations), Developmental Neuroscience (19 citations) and Structural Biology (6 citations). Jan Sędzik has collaborated with scholars based in Sweden, Japan and United States. Frequent co-authors include Terese Bergfors, T. Alwyn Jones, Torsten Unge, A.E. Blaurock, M. Höchli, Keiichi Uyemura, J Jastrzebski, Mathias Hoechli, Stellan Hjertén and Hiro Tsuruta. Their work appears in journals such as Journal of Neurochemistry, Neurochemical Research, Neuroreport, Journal of Molecular Biology and The Keio Journal of Medicine.
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.