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Cited by in F6Publishing
For: Kringel D, Kaunisto MA, Lippmann C, Kalso E, Lötsch J. Development of an AmpliSeqTM Panel for Next-Generation Sequencing of a Set of Genetic Predictors of Persisting Pain. Front Pharmacol 2018;9:1008. [PMID: 30283335 DOI: 10.3389/fphar.2018.01008] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Kringel D, Kaunisto MA, Kalso E, Lötsch J. Machine-learned analysis of global and glial/opioid intersection-related DNA methylation in patients with persistent pain after breast cancer surgery. Clin Epigenetics 2019;11:167. [PMID: 31775878 DOI: 10.1186/s13148-019-0772-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
2 Kringel D, Malkusch S, Kalso E, Lötsch J. Computational Functional Genomics-Based AmpliSeq™ Panel for Next-Generation Sequencing of Key Genes of Pain. Int J Mol Sci 2021;22:E878. [PMID: 33467215 DOI: 10.3390/ijms22020878] [Reference Citation Analysis]
3 Kringel D, Kaunisto MA, Kalso E, Lötsch J. Machine-learned analysis of the association of next-generation sequencing-based genotypes with persistent pain after breast cancer surgery. Pain 2019;160:2263-77. [PMID: 31107411 DOI: 10.1097/j.pain.0000000000001616] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]