Lisbeth Meyer Næss

1.4k total citations
42 papers, 907 citations indexed

About

Lisbeth Meyer Næss is a scholar working on Epidemiology, Microbiology and Molecular Biology. According to data from OpenAlex, Lisbeth Meyer Næss has authored 42 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 34 papers in Microbiology and 7 papers in Molecular Biology. Recurrent topics in Lisbeth Meyer Næss's work include Bacterial Infections and Vaccines (34 papers), Pneumonia and Respiratory Infections (31 papers) and Influenza Virus Research Studies (10 papers). Lisbeth Meyer Næss is often cited by papers focused on Bacterial Infections and Vaccines (34 papers), Pneumonia and Respiratory Infections (31 papers) and Influenza Virus Research Studies (10 papers). Lisbeth Meyer Næss collaborates with scholars based in Norway, Cuba and United Kingdom. Lisbeth Meyer Næss's co-authors include Audun Aase, Fredrik Oftung, Terje E. Michaelsen, Einar Rosenqvist, Johan Holst, E. Arne Høiby, Ingeborg S. Aaberge, Philipp Oster, Bjørn Haneberg and Jane O’Hallahan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Lisbeth Meyer Næss

40 papers receiving 870 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lisbeth Meyer Næss Norway 16 606 586 189 155 136 42 907
Harry van Dijken Netherlands 15 495 0.8× 506 0.9× 139 0.7× 113 0.7× 127 0.9× 22 718
Arno van der Ark Netherlands 16 483 0.8× 418 0.7× 127 0.7× 124 0.8× 229 1.7× 21 869
Johan Holst Norway 16 837 1.4× 759 1.3× 190 1.0× 133 0.9× 165 1.2× 25 1.1k
Xin‐Xing Gu United States 18 379 0.6× 499 0.9× 116 0.6× 118 0.8× 121 0.9× 33 778
Pieter G. M. van Gageldonk Netherlands 20 624 1.0× 747 1.3× 204 1.1× 230 1.5× 151 1.1× 41 1.2k
Hannah Chan United Kingdom 14 392 0.6× 320 0.5× 112 0.6× 75 0.5× 152 1.1× 25 627
Oliver Koeberling Italy 12 547 0.9× 479 0.8× 127 0.7× 63 0.4× 65 0.5× 14 604
Jutamas Shaughnessy United States 20 529 0.9× 350 0.6× 321 1.7× 139 0.9× 113 0.8× 34 814
Brenda L. Brandt United States 17 594 1.0× 587 1.0× 154 0.8× 146 0.9× 125 0.9× 27 901
Pádraig J. Ross Ireland 10 701 1.2× 547 0.9× 306 1.6× 180 1.2× 177 1.3× 10 1.0k

Countries citing papers authored by Lisbeth Meyer Næss

Since Specialization
Citations

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

Fields of papers citing papers by Lisbeth Meyer Næss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisbeth Meyer 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 Lisbeth Meyer Næss. The network helps show where Lisbeth Meyer Næss may publish in the future.

Co-authorship network of co-authors of Lisbeth Meyer Næss

This figure shows the co-authorship network connecting the top 25 collaborators of Lisbeth Meyer Næss. A scholar is included among the top collaborators of Lisbeth Meyer Næss 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 Lisbeth Meyer Næss. Lisbeth Meyer Næss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Næss, Lisbeth Meyer & Sara Viksmoen Watle. (2025). Vaccination Against Meningococcal Disease in Children—A European Perspective. Acta Paediatrica.
2.
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Watle, Sara Viksmoen, Bente Børud, Ida Laake, et al.. (2023). Antibodies against Neisseria meningitidis serogroups A, C, W and Y in serum and saliva of Norwegian adolescents. Vaccine. 41(44). 6529–6537. 1 indexed citations
4.
Kared, Hassen, Asia‐Sophia Wolf, Anthony Ravussin, et al.. (2022). Immune responses in Omicron SARS-CoV-2 breakthrough infection in vaccinated adults. Nature Communications. 13(1). 4165–4165. 41 indexed citations
5.
Norheim, Gunnstein, Judith E. Mueller, Berthe‐Marie Njanpop‐Lafourcade, et al.. (2018). Natural immunity against capsular group X N. meningitidis following an outbreak in Togo, 2007. Vaccine. 36(10). 1297–1303. 1 indexed citations
6.
Acevedo, Reinaldo, Caridad Zayas, Gunnstein Norheim, et al.. (2017). Outer membrane vesicles extracted from Neisseria meningitidis serogroup X for prevention of meningococcal disease in Africa. Pharmacological Research. 121. 194–201. 13 indexed citations
7.
Oftung, Fredrik, Gro Ellen Korsvold, Audun Aase, & Lisbeth Meyer Næss. (2016). Cellular Immune Responses in Humans Induced by Two Serogroup B Meningococcal Outer Membrane Vesicle Vaccines Given Separately and in Combination. Clinical and Vaccine Immunology. 23(4). 353–362. 11 indexed citations
8.
Tunheim, Gro, Lisbeth Meyer Næss, Gunnstein Norheim, et al.. (2016). Immune responses of a meningococcal A + W outer membrane vesicle (OMV) vaccine with and without aluminium hydroxide adjuvant in two different mouse strains. Apmis. 124(11). 996–1003. 9 indexed citations
9.
Ng, Garrett Z., Yok Teng Chionh, Muhammad A. Saeed, et al.. (2016). Heat shock protein complex vaccines induce antibodies against Neisseria meningitidis via a MyD88-independent mechanism. Vaccine. 34(14). 1704–1711. 4 indexed citations
10.
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Tunheim, Gro, Lisbeth Meyer Næss, Reinaldo Acevedo, et al.. (2014). Preclinical immunogenicity study of trivalent meningococcal AWX-OMV vaccines for the African meningitis belt. Vaccine. 32(49). 6631–6638. 6 indexed citations
12.
Cuello, Maribel, et al.. (2013). SDS-PAGE y análisis densitométrico para determinar la concentración de lipopolisacáridos de Neisseria meningitidis serogrupos A, W135 y X. SHILAP Revista de lepidopterología. 1 indexed citations
13.
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Næss, Lisbeth Meyer, et al.. (2011). Avidity of Serogroup A Meningococcal IgG Antibodies after Immunization with Different Doses of a Tetravalent A/C/Y/W135 Polysaccharide Vaccine. Scandinavian Journal of Immunology. 74(1). 87–94. 4 indexed citations
15.
Horton, Rachel, Christopher Hobbs, Jamie Findlow, et al.. (2008). Mucosal Immunity in Healthy Adults after Parenteral Vaccination with Outer‐Membrane Vesicles fromNeisseria meningitidisSerogroup B. The Journal of Infectious Diseases. 198(5). 731–740. 28 indexed citations
16.
Guérin, Philippe J., Lisbeth Meyer Næss, Carole Fogg, et al.. (2008). Immunogenicity of Fractional Doses of Tetravalent A/C/Y/W135 Meningococcal Polysaccharide Vaccine: Results from a Randomized Non-Inferiority Controlled Trial in Uganda. PLoS neglected tropical diseases. 2(12). e342–e342. 10 indexed citations
17.
Næss, Lisbeth Meyer, Fredrik Oftung, Audun Aase, Terje E. Michaelsen, & Andrew J. Pollard. (2003). T-Cell Responses Against Meningococcal Antigens. Humana Press eBooks. 66. 339–348. 4 indexed citations
18.
Oftung, Fredrik, Lisbeth Meyer Næss, Lee M. Wetzler, et al.. (1999). Antigen-Specific T-Cell Responses in Humans after Intranasal Immunization with a Meningococcal Serogroup B Outer Membrane Vesicle Vaccine. Infection and Immunity. 67(2). 921–927. 36 indexed citations
19.
Haneberg, Bjørn, Rolf Dalseg, Fredrik Oftung, et al.. (1998). Towards a nasal vaccine against meningococcal disease, and prospects for its use as a mucosal adjuvant.. PubMed. 92. 127–33. 23 indexed citations
20.

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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