Arne Heydorn
- Molecular Biology top 1%
- Endocrinology top 0.2%
- Periodontics top 0.2%
- Genetics top 2%
- Molecular Medicine top 0.5%
- Co-authors
- Søren MolinMichael GivskovMorten HentzerBjarne Kjær ErsbøllClaus SternbergAlex Toftgaard NielsenMatthew R. ParsekLeo Eberl
- Topics
- Bacterial biofilms and quorum sensing (15 papers)Receptor Mechanisms and Signaling (7 papers)Microbial Community Ecology and Physiology (6 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Arne Heydorn
33 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 5.1k
- Endocrinology 1.2k
- Periodontics 990
- Genetics 954
- Molecular Medicine 896
Countries citing papers authored by Arne Heydorn
This map shows the geographic impact of Arne Heydorn'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 Arne Heydorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arne Heydorn more than expected).
Fields of papers citing papers by Arne Heydorn
This network shows the impact of papers produced by Arne Heydorn. 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 Arne Heydorn. The network helps show where Arne Heydorn may publish in the future.
Co-authorship network of co-authors of Arne Heydorn
This figure shows the co-authorship network connecting the top 25 collaborators of Arne Heydorn. A scholar is included among the top collaborators of Arne Heydorn 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 Arne Heydorn. Arne Heydorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Amycretin, a novel, unimolecular GLP-1 and amylin receptor agonist administered subcutaneously: results from a phase 1b/2a randomised controlled studybreakdown → | 19 |
| 3 | 2 | |
| 4 | 7 | |
| 5 | The Exopolysaccharide Matrix Modulates the Interaction between 3D Architecture and Virulence of a Mixed-Species Oral Biofilmbreakdown → | 417 |
| 6 | 29 | |
| 7 | 27 | |
| 8 | 55 | |
| 9 | 63 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 50 | |
| 13 | 26 | |
| 14 | 275 | |
| 15 | 203 | |
| 16 | Biofilm formation by Pseudomonas aeruginosa wild type, flagella and type IV pili mutantsbreakdown → | 787 |
| 17 | 33 | |
| 18 | Alginate Overproduction Affects Pseudomonas aeruginosa Biofilm Structure and Functionbreakdown → | 524 |
| 19 | 7 | |
| 20 | 16 |
About Arne Heydorn
Arne Heydorn is a scholar working on Periodontics, Endocrinology and Microbiology, having authored 33 papers that have together received 6.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (15 papers), Receptor Mechanisms and Signaling (7 papers) and Microbial Community Ecology and Physiology (6 papers). The work is most often cited by research in Endocrinology (1.2k citations), Periodontics (990 citations) and Molecular Medicine (896 citations). Arne Heydorn has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Søren Molin, Michael Givskov, Morten Hentzer, Bjarne Kjær Ersbøll, Claus Sternberg, Alex Toftgaard Nielsen, Matthew R. Parsek, Leo Eberl, Tim Tolker‐Nielsen and Lotte Lambertsen. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Applied and Environmental Microbiology.
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.