Ulrik Lademann
- Molecular Biology top 10%
- Cancer Research top 5%
- Cell Biology top 5%
- Oncology top 10%
- Epidemiology top 10%
- Co-authors
- Marja JäätteläDorte WissingMarcel LeistLone BastholmMarianne BoesFolmer EllingIda Stenfeldt MathiasenMads Gyrd‐Hansen
- Topics
- Protease and Inhibitor Mechanisms (18 papers)Peptidase Inhibition and Analysis (14 papers)Cell death mechanisms and regulation (7 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineThe Journal of Cell Biology
- Partner nations
- DenmarkUnited KingdomGermany
In The Last Decade
Ulrik Lademann
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Cancer Research 378
- Cell Biology 326
- Oncology 319
- Epidemiology 315
Countries citing papers authored by Ulrik Lademann
This map shows the geographic impact of Ulrik Lademann'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 Ulrik Lademann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrik Lademann more than expected).
Fields of papers citing papers by Ulrik Lademann
This network shows the impact of papers produced by Ulrik Lademann. 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 Ulrik Lademann. The network helps show where Ulrik Lademann may publish in the future.
Co-authorship network of co-authors of Ulrik Lademann
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrik Lademann. A scholar is included among the top collaborators of Ulrik Lademann 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 Ulrik Lademann. Ulrik Lademann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | 43 | |
| 8 | P84-T Rapid and Individual-Specific Glycoprofiling of the Low-Abundant Plasma Protein Tissue Inhibitor of Metalloproteinases-1 | 1 |
| 9 | 15 | |
| 10 | 50 | |
| 11 | 27 | |
| 12 | Malignant transformation of wild type but not plasminogen activator inhibitor-1 gene deficient fibroblasts decreases cellular sensitivity to chemotherapy mediated apoptosis | 9 |
| 13 | 23 | |
| 14 | 20 | |
| 15 | 451 | |
| 16 | 54 | |
| 17 | 44 | |
| 18 | 45 | |
| 19 | 42 | |
| 20 | Cathepsin B Acts as a Dominant Execution Protease in Tumor Cell Apoptosis Induced by Tumor Necrosis Factorbreakdown → | 540 |
About Ulrik Lademann
Ulrik Lademann is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (18 papers), Peptidase Inhibition and Analysis (14 papers) and Cell death mechanisms and regulation (7 papers). The work is most often cited by research in Cancer Research (378 citations), Physiology (108 citations) and Cell Biology (326 citations). Ulrik Lademann has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Marja Jäättelä, Dorte Wissing, Marcel Leist, Lone Bastholm, Marianne Boes, Folmer Elling, Ida Stenfeldt Mathiasen, Mads Gyrd‐Hansen, Nicole Fehrenbacher and Jesper Nylandsted. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell 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.