Klaus Kühn

113 papers receiving 6.3k citations

Klaus Kühn's Hit Papers

A Network Model for the Organization of Type IV Collagen Molecules in Basement Membranes 1981 · 734 citations
7340+15+30Years since publication200400600

Peers

Klaus Kühn
Comparison fields: 5 of 157
  • Immunology and Allergy 2.4k
  • Biomaterials 1.9k
  • Cell Biology 1.2k
  • Cancer Research 1.0k
  • Rheumatology 854
Replace Michel van der Rest with:
Michel van der Rest France
Thomas Krieg Germany
K. Kühn Germany
John A. M. Ramshaw Australia
Walter Sebald Germany
Jean E. Schwarzbauer United States
Karl A. Piez United States
Taina Pihlajaniemi Finland
Motoyoshi Nomizu Japan
Marvin L. Tanzer United States
Klaus Kühn relative to Michel van der Rest France Michel van der Rest's profile →
Citations per field
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Michel van der Rest · 1×
Citations per year

Countries citing papers authored by Klaus Kühn

Since Specialization
Citations

This map shows the geographic impact of Klaus Kühn'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 Klaus Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Kühn more than expected).

Fields of papers citing papers by Klaus Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus Kühn. 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 Klaus Kühn. The network helps show where Klaus Kühn may publish in the future.

Co-authors

The 25 scholars most cited alongside Klaus Kühn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Klaus Kühn Line = papers co-authored together Klaus Kühn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Network Model for the Organization of Type IV Collagen Molecules in Basement Membranes
Hit paper breakdown →
1981734
2 2003424
3 1976298
4 1984219
5 1981184
6 1993183
7 2001165
8 1985148
9 1978145
10 1975137
11 1997135
12 2016129
13 2003126
14 1988122
15 1994107
16 1975105
17 1971103
18 1987102
19 198598
20 200296

About Klaus Kühn

Klaus Kühn is a scholar working on Biomaterials, Immunology and Allergy, Molecular Biology, Cancer Research and Rheumatology, having authored 113 papers that have together received 6.8k indexed citations. Recurring topics across this work include Collagen: Extraction and Characterization (52 papers), Cell Adhesion Molecules Research (51 papers), Protease and Inhibitor Mechanisms (15 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Advanced Photocatalysis Techniques (9 papers), TiO2 Photocatalysis and Solar Cells (8 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Immunology and Allergy (2.4k citations), Biomaterials (1.9k citations), Cell Biology (1.2k citations), Cancer Research (1.0k citations) and Rheumatology (854 citations). Klaus Kühn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter P. Fietzek, Rupert Timpl, Hanna Wiedemann, Johannes A. Eble, Heinz Furthmayr, Robert W. Glanville, Martin Lotz, Tilman Voss, Jürgen Engel and Jürgen Rauterberg. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Journal of Biological Chemistry, Journal of Molecular Biology and Journal of Neurochemistry.

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.

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