Ian A. Nieduszynski
- Cell Biology top 0.5%
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Biomaterials top 5%
- Plant Science top 5%
- Co-authors
- Thomas N. HuckerbyE. D. T. AtkinsGavin M. BrownR. H. MarchessaultJohn K. SheehanPaul N. SandersonRobert M. LauderWilliam Mackie
- Topics
- Proteoglycans and glycosaminoglycans research (79 papers)Glycosylation and Glycoproteins Research (55 papers)Carbohydrate Chemistry and Synthesis (12 papers)
- Partner nations
- United KingdomGhanaSweden
In The Last Decade
Ian A. Nieduszynski
100 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 1.5k
- Molecular Biology 1.4k
- Organic Chemistry 428
- Biomaterials 405
- Plant Science 403
Countries citing papers authored by Ian A. Nieduszynski
This map shows the geographic impact of Ian A. Nieduszynski'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 Ian A. Nieduszynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian A. Nieduszynski more than expected).
Fields of papers citing papers by Ian A. Nieduszynski
This network shows the impact of papers produced by Ian A. Nieduszynski. 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 Ian A. Nieduszynski. The network helps show where Ian A. Nieduszynski may publish in the future.
Co-authorship network of co-authors of Ian A. Nieduszynski
This figure shows the co-authorship network connecting the top 25 collaborators of Ian A. Nieduszynski. A scholar is included among the top collaborators of Ian A. Nieduszynski 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 Ian A. Nieduszynski. Ian A. Nieduszynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | Localization of TRAMP (Tyrosine-Rich Acidic Matrix Protein) | 1 |
| 5 | 37 | |
| 6 | 30 | |
| 7 | 28 | |
| 8 | 53 | |
| 9 | Isolation and identification of an octasaccharide chondroitin sulphate linkage region fragment. | 2 |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 36 | |
| 15 | 13 | |
| 16 | Characterisation of a nonreducing terminal fragment from bovine articular-cartilage keratan sulfates containing alpha(2-3)-linked sialic-acid and alpha(1-3)-linked fucose. | 2 |
| 17 | 33 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 49 |
About Ian A. Nieduszynski
Ian A. Nieduszynski is a scholar working on Cell Biology, Equine and Immunology and Allergy, having authored 100 papers that have together received 2.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (79 papers), Glycosylation and Glycoproteins Research (55 papers) and Carbohydrate Chemistry and Synthesis (12 papers). The work is most often cited by research in Cell Biology (1.5k citations), Biomaterials (405 citations) and Molecular Medicine (127 citations). Ian A. Nieduszynski has collaborated with scholars based in United Kingdom, Ghana and Sweden. Frequent co-authors include Thomas N. Huckerby, E. D. T. Atkins, Gavin M. Brown, R. H. Marchessault, John K. Sheehan, Paul N. Sanderson, Robert M. Lauder, William Mackie, Kate Parker and E.E. Smolko. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Molecular Biology.
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.