K Danø
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
Papers in
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- Protease and Inhibitor Mechanisms 7
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- TGF-β signaling in diseases 2
- S100 Proteins and Annexins 1
- Co-authors
- Elisabeth Ralfkiær (2 shared papers)Karl Tryggvason (2 shared papers)Charles Pyke (2 shared papers)J Grøndahl-Hansen (2 shared papers)Sirpa Salo (1 shared paper)John Rømer (1 shared paper)I. J. Christensen (1 shared paper)M Blichert-Toft (1 shared paper)
- Journals
- FEBS Letters (2 papers)International Journal of Cancer (1 paper)PubMed (5 papers)
- Partner nations
- Denmark
In The Last Decade
K Danø
8 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Immunology and Allergy 505
- Cancer Research 835
- Hematology 232
- Oncology 536
- Cell Biology 145
Countries citing papers authored by K Danø
This map shows the geographic impact of K Danø'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 K Danø with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Danø more than expected).
Fields of papers citing papers by K Danø
This network shows the impact of papers produced by K Danø. 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 K Danø. The network helps show where K Danø may publish in the future.
Co-authors
The 21 scholars most cited alongside K Danø, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | High levels of urokinase-type plasminogen activator and its inhibitor PAI-1 in cytosolic extracts of breast carcinomas are associated with poor prognosis. | 1993 | 362 |
| 2 | Laminin-5 is a marker of invading cancer cells in some human carcinomas and is coexpressed with the receptor for urokinase plasminogen activator in budding cancer cells in colon adenocarcinomas. | 1995 | 350 |
| 3 | Localization of messenger RNA for Mr 72,000 and 92,000 type IV collagenases in human skin cancers by in situ hybridization. | 1992 | 296 |
| 4 | 1996 | 155 | |
| 5 | Expression of matrix metalloprotease-9 in vascular pericytes in human breast cancer. | 1997 | 87 |
| 6 | Sensitive and specific enzyme-linked immunosorbent assay for urokinase-type plasminogen activator and its application to plasma from patients with breast cancer. | 1988 | 69 |
| 7 | 1996 | 16 | |
| 8 | 1992 | 10 |
About K Danø
K Danø is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Immunology and Allergy, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Peptidase Inhibition and Analysis (3 papers), Cell Adhesion Molecules Research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), TGF-β signaling in diseases (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Oral Health Pathology and Treatment (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Immunology and Allergy (505 citations), Cancer Research (835 citations), Hematology (232 citations), Oncology (536 citations) and Cell Biology (145 citations). K Danø has collaborated with scholars based in Denmark. Frequent co-authors include Elisabeth Ralfkiær, Karl Tryggvason, Charles Pyke, J Grøndahl-Hansen, Sirpa Salo, John Rømer, I. J. Christensen, M Blichert-Toft, H.T. Mouridsen and Christian Rosenquist. Their work appears in journals such as FEBS Letters, International Journal of Cancer and PubMed.
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.