David Meili

489 total citations
9 papers, 262 citations indexed

About

David Meili is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, David Meili has authored 9 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 3 papers in Genetics. Recurrent topics in David Meili's work include Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). David Meili is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). David Meili collaborates with scholars based in Switzerland, Italy and United States. David Meili's co-authors include Beat Thöny, Nenad Blau, Laura M. Fiori, Luisa Bonafé, Dea Adamsen, V. Ramaekers, Ivo Barić, Ksenija Fumić, Caroline Heintz and Danijela Petković Ramadža and has published in prestigious journals such as Human Mutation, Clinical Chemistry and Laboratory Medicine (CCLM) and Molecular Genetics and Metabolism.

In The Last Decade

David Meili

9 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Meili Switzerland 7 166 138 59 44 43 9 262
Alfonso Oyarzábal Spain 11 242 1.5× 156 1.1× 72 1.2× 79 1.8× 25 0.6× 18 452
Silvia Masnada Italy 10 99 0.6× 80 0.6× 87 1.5× 49 1.1× 20 0.5× 24 257
Tung‐Ming Chang Taiwan 11 89 0.5× 79 0.6× 86 1.5× 49 1.1× 23 0.5× 33 313
Anne Roubergue France 9 125 0.8× 52 0.4× 120 2.0× 55 1.3× 25 0.6× 18 291
Chiemi Hayakawa Japan 10 145 0.9× 94 0.7× 30 0.5× 119 2.7× 22 0.5× 20 350
Alya Qari Saudi Arabia 8 106 0.6× 56 0.4× 19 0.3× 76 1.7× 27 0.6× 17 244
R. Kálmánchey Hungary 10 206 1.2× 105 0.8× 25 0.4× 80 1.8× 62 1.4× 27 422
Sorina Mihaela Papuc Romania 10 166 1.0× 79 0.6× 10 0.2× 116 2.6× 31 0.7× 29 327
Manuela Casarano Italy 10 74 0.4× 81 0.6× 34 0.6× 35 0.8× 6 0.1× 15 206
Kristien Verhaert Belgium 5 98 0.6× 96 0.7× 81 1.4× 142 3.2× 44 1.0× 6 363

Countries citing papers authored by David Meili

Since Specialization
Citations

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

Fields of papers citing papers by David Meili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Meili. 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 David Meili. The network helps show where David Meili may publish in the future.

Co-authorship network of co-authors of David Meili

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

All Works

9 of 9 papers shown
1.
Cremonesi, Alessio, David Meili, Anahita Rassi, et al.. (2023). Improved diagnostics of purine and pyrimidine metabolism disorders using LC-MS/MS and its clinical application. Clinical Chemistry and Laboratory Medicine (CCLM). 61(10). 1792–1801. 5 indexed citations
2.
Balasubramaniam, Shanti, et al.. (2015). Heterozygous Monocarboxylate Transporter 1 (MCT1, SLC16A1) Deficiency as a Cause of Recurrent Ketoacidosis. JIMD Reports. 29. 33–38. 16 indexed citations
3.
Adamsen, Dea, V. Ramaekers, Véronique Rüfenacht, et al.. (2014). Autism spectrum disorder associated with low serotonin in CSF and mutations in the SLC29A4 plasma membrane monoamine transporter (PMAT) gene. Molecular Autism. 5(1). 43–43. 58 indexed citations
4.
Brasil, Sandra, David Meili, Anahita Rassi, et al.. (2011). Pseudoexon exclusion by antisense therapy in 6-pyruvoyl-tetrahydropterin synthase deficiency. Human Mutation. 32(9). 1019–1027. 23 indexed citations
5.
Adamsen, Dea, David Meili, Nenad Blau, Beat Thöny, & V. Ramaekers. (2010). Autism associated with low 5-hydroxyindolacetic acid in CSF and the heterozygous SLC6A4 gene Gly56Ala plus 5-HTTLPR L/L promoter variants. Molecular Genetics and Metabolism. 102(3). 368–373. 21 indexed citations
6.
Meili, David, Vladimir Sarnavka, Caroline Heintz, et al.. (2009). Genotype-predicted tetrahydrobiopterin (BH4)-responsiveness and molecular genetics in Croatian patients with phenylalanine hydroxylase (PAH) deficiency. Molecular Genetics and Metabolism. 97(3). 165–171. 58 indexed citations
7.
Meili, David, Jana Královičová, Julian A. Zagalak, et al.. (2009). Disease-causing mutations improving the branch site and polypyrimidine tract: Pseudoexon activation of LINE-2 and antisenseAlulacking the poly(T)-tail. Human Mutation. 30(5). 823–831. 28 indexed citations
8.
Tharin, Suzanne, Yishi Jin, Bruce Wightman, et al.. (2006). The short coiled-coil domain-containing protein UNC-69 cooperates with UNC-76 to regulate axonal outgrowth and normal presynaptic organization in Caenorhabditis elegans. Journal of Biology. 5(4). 9–9. 2 indexed citations
9.
Bonafé, Luisa, Diana Ballhausen, Matthias R. Baumgartner, et al.. (2005). Extended tetrahydrobiopterin loading test in the diagnosis of cofactor-responsive phenylketonuria: A pilot study. Molecular Genetics and Metabolism. 86. 91–95. 51 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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