K. von der Mark
- Rheumatology top 1%
- Immunology and Allergy top 0.5%
- Molecular Biology
- Cell Biology top 5%
- Genetics top 10%
- Co-authors
- Helga von der MarkSteffen GayWaltraud DessauThomas AignerF JílekRupert TimplJoachim SasseSimon L. Goodman
- Topics
- Cell Adhesion Molecules Research (13 papers)Osteoarthritis Treatment and Mechanisms (13 papers)Proteoglycans and glycosaminoglycans research (5 papers)
- Partner nations
- GermanyIsraelUnited Kingdom
In The Last Decade
K. von der Mark
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Rheumatology 892
- Immunology and Allergy 661
- Molecular Biology 511
- Cell Biology 409
- Genetics 268
Countries citing papers authored by K. von der Mark
This map shows the geographic impact of K. von der Mark'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. von der Mark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. von der Mark more than expected).
Fields of papers citing papers by K. von der Mark
This network shows the impact of papers produced by K. von der Mark. 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. von der Mark. The network helps show where K. von der Mark may publish in the future.
Co-authorship network of co-authors of K. von der Mark
This figure shows the co-authorship network connecting the top 25 collaborators of K. von der Mark. A scholar is included among the top collaborators of K. von der Mark 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 K. von der Mark. K. von der Mark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | [Inflammatory cytokine mediated anti-anabolic effects: a potential mechanism in rheumatoid cartilage degeneration]. | 1 |
| 3 | 150 | |
| 4 | 39 | |
| 5 | 124 | |
| 6 | [Biochemical and molecular biologic aspects of early detection of human arthroses]. | 7 |
| 7 | 25 | |
| 8 | 68 | |
| 9 | Serum antibodies against chondrocyte cell surface proteins in osteoarthritis and rheumatoid arthritis. | 49 |
| 10 | 4 | |
| 11 | 86 | |
| 12 | 13 | |
| 13 | Dexamethasone impairs growth and collagen synthesis in condylar cartilage in vitro. | 25 |
| 14 | 32 | |
| 15 | Glucocorticoid hormone adversely affects the growth and differentiation of cartilage cells in neonatal mice. | 7 |
| 16 | 49 | |
| 17 | 63 | |
| 18 | 187 | |
| 19 | 122 | |
| 20 | 362 |
About K. von der Mark
K. von der Mark is a scholar working on Immunology and Allergy, Rheumatology and Anatomy, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Osteoarthritis Treatment and Mechanisms (13 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Immunology and Allergy (661 citations), Rheumatology (892 citations) and Cell Biology (409 citations). K. von der Mark has collaborated with scholars based in Germany, Israel and United Kingdom. Frequent co-authors include Helga von der Mark, Steffen Gay, Waltraud Dessau, Thomas Aigner, F Jílek, Rupert Timpl, Joachim Sasse, Simon L. Goodman, Alexandre J. Potocnik and Uwe Dietz. Their work appears in journals such as The Journal of Cell Biology, Blood and Biochemical Journal.
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.