Morten Thaysen‐Andersen
- Molecular Biology top 2%
- Spectroscopy top 0.5%
- Immunology top 2%
- Organic Chemistry top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Nicolle H. PackerPeter HøjrupGiuseppe PalmisanoSimon MyslingIan LokeBenjamin L. ParkerMartin R. LarsenDaniel Kolarich
- Topics
- Glycosylation and Glycoproteins Research (74 papers)Carbohydrate Chemistry and Synthesis (22 papers)Advanced Proteomics Techniques and Applications (17 papers)
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Morten Thaysen‐Andersen
103 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.3k
- Spectroscopy 1.1k
- Immunology 928
- Organic Chemistry 913
- Radiology, Nuclear Medicine and Imaging 544
Countries citing papers authored by Morten Thaysen‐Andersen
This map shows the geographic impact of Morten Thaysen‐Andersen'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 Morten Thaysen‐Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morten Thaysen‐Andersen more than expected).
Fields of papers citing papers by Morten Thaysen‐Andersen
This network shows the impact of papers produced by Morten Thaysen‐Andersen. 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 Morten Thaysen‐Andersen. The network helps show where Morten Thaysen‐Andersen may publish in the future.
Co-authorship network of co-authors of Morten Thaysen‐Andersen
This figure shows the co-authorship network connecting the top 25 collaborators of Morten Thaysen‐Andersen. A scholar is included among the top collaborators of Morten Thaysen‐Andersen 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 Morten Thaysen‐Andersen. Morten Thaysen‐Andersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 34 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | Glycoproteomicsbreakdown → | 150 |
| 9 | 10 | |
| 10 | 29 | |
| 11 | 38 | |
| 12 | 71 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 134 | |
| 16 | 124 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | P84-T Rapid and Individual-Specific Glycoprofiling of the Low-Abundant Plasma Protein Tissue Inhibitor of Metalloproteinases-1 | 1 |
| 20 | Enrichment and characterization of glycopeptides from gel-separated glycoproteins | 5 |
About Morten Thaysen‐Andersen
Morten Thaysen‐Andersen is a scholar working on Immunology, Molecular Biology and Spectroscopy, having authored 108 papers that have together received 4.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (74 papers), Carbohydrate Chemistry and Synthesis (22 papers) and Advanced Proteomics Techniques and Applications (17 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Molecular Biology (3.3k citations) and Immunology (928 citations). Morten Thaysen‐Andersen has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include Nicolle H. Packer, Peter Højrup, Giuseppe Palmisano, Simon Mysling, Ian Loke, Benjamin L. Parker, Martin R. Larsen, Daniel Kolarich, Rebeca Kawahara and Benjamin L. Schulz. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological 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.