Niels Høiby
- Molecular Biology top 0.05%
- Pulmonary and Respiratory Medicine top 0.05%
- Molecular Medicine top 0.01%
- Endocrinology top 0.01%
- Epidemiology top 0.2%
- Co-authors
- Oana CiofuMichael GivskovThomas BjarnsholtPeter Østrup JensenSøren MolinClaus MoserChristian KochHelle Krogh Johansen
- Topics
- Cystic Fibrosis Research Advances (270 papers)Bacterial biofilms and quorum sensing (240 papers)Antibiotic Resistance in Bacteria (139 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Niels Høiby
630 papers receiving 39.3k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 22.3k
- Pulmonary and Respiratory Medicine 12.3k
- Molecular Medicine 9.6k
- Endocrinology 5.3k
- Epidemiology 5.2k
Countries citing papers authored by Niels Høiby
This map shows the geographic impact of Niels Høiby'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 Niels Høiby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niels Høiby more than expected).
Fields of papers citing papers by Niels Høiby
This network shows the impact of papers produced by Niels Høiby. 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 Niels Høiby. The network helps show where Niels Høiby may publish in the future.
Co-authorship network of co-authors of Niels Høiby
This figure shows the co-authorship network connecting the top 25 collaborators of Niels Høiby. A scholar is included among the top collaborators of Niels Høiby 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 Niels Høiby. Niels Høiby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 42 | |
| 11 | 18 | |
| 12 | 36 | |
| 13 | Effect of infectious dose and season on development of hemorrhagic pneumonia in mink caused by Pseudomonas aeruginosa | 2 |
| 14 | 268 | |
| 15 | 267 | |
| 16 | 142 | |
| 17 | 256 | |
| 18 | 135 | |
| 19 | 19 | |
| 20 | IgA and IgG antibodies against surface antigens of Pseudomonas aeruginosa in sputum and serum from patients with cystic fibrosis. | 19 |
About Niels Høiby
Niels Høiby is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 637 papers that have together received 40.5k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (270 papers), Bacterial biofilms and quorum sensing (240 papers) and Antibiotic Resistance in Bacteria (139 papers). The work is most often cited by research in Molecular Medicine (9.6k citations), Endocrinology (5.3k citations) and Microbiology (5.1k citations). Niels Høiby has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Oana Ciofu, Michael Givskov, Thomas Bjarnsholt, Peter Østrup Jensen, Søren Molin, Claus Moser, Christian Koch, Helle Krogh Johansen, Zhijun Song and Tacjana Pressler. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.