Are Næss
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Epidemiology top 10%
- Pneumonia and Respiratory Infections
- Sepsis Diagnosis and Treatment
- Influenza Virus Research Studies
Papers in
- Epidemiology 18
- Pneumonia and Respiratory Infections 11
- Immunology 17
- Immune Response and Inflammation 7
- Immunodeficiency and Autoimmune Disorders 4
- Co-authors
- Haakon Sjursen (13 shared papers)Alfred Halstensen (14 shared papers)C. O. Solberg (19 shared papers)Geir Egil Eide (3 shared papers)Hilde‐Kari Guttormsen (3 shared papers)Bernt Lindtjørn (1 shared paper)Degu Jerene (1 shared paper)Lee M. Wetzler (1 shared paper)
- Journals
- Apmis (6 papers)Acta Neurologica Scandinavica (5 papers)Journal of Immunological Methods (4 papers)Scandinavian Journal of Immunology (3 papers)Infection (2 papers)
- Partner nations
- NorwayEthiopiaUnited States
In The Last Decade
Are Næss
47 papers receiving 784 citations
Peers
Comparison fields: 5 of 90
- Microbiology 244
- Epidemiology 312
- Immunology 182
- Virology 35
- Infectious Diseases 126
Countries citing papers authored by Are Næss
This map shows the geographic impact of Are Næss'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 Are Næss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Are Næss more than expected).
Fields of papers citing papers by Are Næss
This network shows the impact of papers produced by Are Næss. 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 Are Næss. The network helps show where Are Næss may publish in the future.
Co-authors
The 25 scholars most cited alongside Are Næss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 151 | |
| 2 | 1993 | 91 | |
| 3 | 2006 | 66 | |
| 4 | 1993 | 64 | |
| 5 | 1994 | 40 | |
| 6 | 1991 | 38 | |
| 7 | 2011 | 28 | |
| 8 | 1989 | 27 | |
| 9 | 1990 | 27 | |
| 10 | 1992 | 27 | |
| 11 | 1976 | 23 | |
| 12 | 1992 | 22 | |
| 13 | 1989 | 22 | |
| 14 | 1993 | 16 | |
| 15 | 1991 | 15 | |
| 16 | 2006 | 14 | |
| 17 | 1988 | 14 | |
| 18 | 1987 | 14 | |
| 19 | 1988 | 13 | |
| 20 | 2013 | 10 |
About Are Næss
Are Næss is a scholar working on Epidemiology, Immunology, Microbiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 55 papers that have together received 824 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (15 papers), Pneumonia and Respiratory Infections (11 papers), Multiple Sclerosis Research Studies (9 papers), Immune Response and Inflammation (7 papers), Cystic Fibrosis Research Advances (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Peripheral Neuropathies and Disorders (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Microbiology (244 citations), Epidemiology (312 citations), Immunology (182 citations), Virology (35 citations) and Infectious Diseases (126 citations). Are Næss has collaborated with scholars based in Norway, Ethiopia and United States. Frequent co-authors include Haakon Sjursen, Alfred Halstensen, C. O. Solberg, Geir Egil Eide, Hilde‐Kari Guttormsen, Bernt Lindtjørn, Degu Jerene, Lee M. Wetzler, P Brandtzæg and Anders Waage. Their work appears in journals such as Apmis, Acta Neurologica Scandinavica, Journal of Immunological Methods, Scandinavian Journal of Immunology and Infection.
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.