Inger‐Lise Mero

5.0k total citations
12 papers, 212 citations indexed

About

Inger‐Lise Mero is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Inger‐Lise Mero has authored 12 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Inger‐Lise Mero's work include Multiple Sclerosis Research Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Craniofacial Disorders and Treatments (2 papers). Inger‐Lise Mero is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Craniofacial Disorders and Treatments (2 papers). Inger‐Lise Mero collaborates with scholars based in Norway, Sweden and Denmark. Inger‐Lise Mero's co-authors include Hanne F. Harbo, Elisabeth Gulowsen Celius, Benedicte A. Lie, C. Smestad, Åslaug Rudjord Lorentzen, Jan Aarseth, Kjell‐Morten Myhr, Tom H. Karlsen, David Senitzer and Marita Olsson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Annals of Neurology.

In The Last Decade

Inger‐Lise Mero

12 papers receiving 210 citations

Peers

Inger‐Lise Mero
Inger‐Lise Mero
Citations per year, relative to Inger‐Lise Mero Inger‐Lise Mero (= 1×) peers Anne‐Lise Poulat

Countries citing papers authored by Inger‐Lise Mero

Since Specialization
Citations

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

Fields of papers citing papers by Inger‐Lise Mero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inger‐Lise Mero. 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 Inger‐Lise Mero. The network helps show where Inger‐Lise Mero may publish in the future.

Co-authorship network of co-authors of Inger‐Lise Mero

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

All Works

12 of 12 papers shown
2.
Misceo, Doriana, Inger‐Lise Mero, Arvind Y. M. Sundaram, et al.. (2023). Novel Loss of Function Variants in CENPF Including a Large Intragenic Deletion in Patients with Strømme Syndrome. Genes. 14(11). 1985–1985. 1 indexed citations
3.
Wiedmann, Markus, Magnus Dehli Vigeland, Pål G. Larsson, et al.. (2023). Whole-exome sequencing in moyamoya patients of Northern-European origin identifies gene variants involved in Nitric Oxide metabolism: A pilot study. SHILAP Revista de lepidopterología. 3. 101745–101745. 3 indexed citations
4.
Absalom, Nathan L., Vivian W. Y. Liao, Katrine M. Johannesen, et al.. (2022). Gain-of-function and loss-of-function GABRB3 variants lead to distinct clinical phenotypes in patients with developmental and epileptic encephalopathies. Nature Communications. 13(1). 1822–1822. 42 indexed citations
5.
Due‐Tønnessen, Bernt Johan, Magnus Dehli Vigeland, Silja Svanstrøm Amundsen, et al.. (2022). Whole‐exome sequencing in syndromic craniosynostosis increases diagnostic yield and identifies candidate genes in osteogenic signaling pathways. American Journal of Medical Genetics Part A. 188(5). 1464–1475. 9 indexed citations
6.
Due‐Tønnessen, Bernt Johan, Inger‐Lise Mero, Mari Ann Kulseth, et al.. (2020). Benefits of clinical criteria and high-throughput sequencing for diagnosing children with syndromic craniosynostosis. European Journal of Human Genetics. 29(6). 920–929. 15 indexed citations
7.
Gustavsen, Marte W., Marte K. Viken, Elisabeth Gulowsen Celius, et al.. (2014). Oligoclonal band phenotypes in MS differ in their HLA class II association, while specific KIR ligands at HLA class I show association to MS in general. Journal of Neuroimmunology. 274(1-2). 174–179. 6 indexed citations
8.
Mero, Inger‐Lise, C. Smestad, Benedicte A. Lie, et al.. (2012). Polymorphisms of the BDNF gene show neither association with multiple sclerosis susceptibility nor clinical course. Journal of Neuroimmunology. 244(1-2). 107–110. 19 indexed citations
9.
Ban, Maria, Stacy J. Caillier, Inger‐Lise Mero, et al.. (2012). No evidence of association between mutant alleles of the CYP27B1 gene and multiple sclerosis. Annals of Neurology. 73(3). 430–432. 32 indexed citations
10.
Søndergaard, Helle Bach, Finn Sellebjerg, Jan Hillert, et al.. (2011). Alterations in KLRB1 gene expression and a Scandinavian multiple sclerosis association study of the KLRB1 SNP rs4763655. European Journal of Human Genetics. 19(10). 1100–1103. 9 indexed citations
11.
Lorentzen, Åslaug Rudjord, Espen Melum, Eva Ellinghaus, et al.. (2010). Association to the Glypican-5 gene in multiple sclerosis. Journal of Neuroimmunology. 226(1-2). 194–197. 19 indexed citations
12.
Lorentzen, Åslaug Rudjord, Tom H. Karlsen, Marita Olsson, et al.. (2009). Killer immunoglobulin‐like receptor ligand HLA‐Bw4 protects against multiple sclerosis. Annals of Neurology. 65(6). 658–666. 55 indexed citations

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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