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1.
Muñoz-Fuentes, V.* et al.: The International Mouse Phenotyping Consortium (IMPC): A functional catalogue of the mammalian genome that informs conservation (vol 19, pg 995, 2018). Conservation genetics 20, 135-136 (2019)
2.
Herbig, B.* et al.: Psychological and cognitive effects of laser printer emissions: A controlled exposure study. Indoor Air 28, 112-124 (2018)
3.
Karrasch, S. et al.: Acute effects of hypertonic saline inhalation on nitric oxide pulmonary diffusing capacity in healthy adults. Respir. Physiol. Neurobiol. 258, 40-46 (2018)
4.
Muñoz-Fuentes, V.* et al.: The International Mouse Phenotyping Consortium (IMPC): A functional catalogue of the mammalian genome that informs conservation. Conservation genetics 19, 995-1005 (2018)
5.
Ezzati, M.* et al.: Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet 390, 2627-2642 (2017)
6.
Karrasch, S. et al.: Health effects of laser printer emissions: A controlled exposure study. Indoor Air 27, 753-765 (2017)
7.
Melin, B.S.* et al.: Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. Nat. Genet. 49, 789-794 (2017)
8.
Walsh, D.W.M.* et al.: Live cell imaging of mitochondria following targeted irradiation in situ reveals rapid and highly localized loss of membrane potential. Sci. Rep. 7:46684 (2017)
9.
NCD Risk Factors Collaboration et al.: Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 387, 1377-1396 (2016)
10.
Hrabě de Angelis, M. et al.: Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics. Nat. Genet. 47, 969-978 (2015)
11.
Kinnersley, B.* et al.: Genome-wide association study identifies multiple susceptibility loci for glioma. Nat. Commun. 6:8559 (2015)
12.
Kinnersley, B.* et al.: Quantifying the heritability of glioma using genome-wide complex trait analysis. Sci. Rep. 5:17267 (2015)
13.
Enciso-Mora, V.* et al.: Deciphering the 8q24.21 association for glioma. Hum. Mol. Genet. 22, 2293-2302 (2013)
14.
Enciso-Mora, V.* et al.: Low penetrance susceptibility to glioma is caused by the TP53 variant rs78378222. Br. J. Cancer 108, 2178-2185 (2013)
15.
Jacobs, D.I.* et al.: Leveraging ethnic group incidence variation to investigate genetic susceptibility to glioma: A novel candidate SNP approach. Front. Genet. 3:203 (2012)
16.
Sanson, M.* et al.: Chromosome 7p11.2 (EGFR) variation influences glioma risk. Hum. Mol. Genet. 20, 2897-2904 (2011)
17.
Yasuno, K.* et al.: Genome-wide association study of intracranial aneurysm identifies three new risk loci. Nat. Genet. 42, 420-425 (2010)
18.
Simon, M. & Suslov, S.K.*: Expansion of analytic functions in q-orthogonal polynomials. Ramanujan J. 19, 281-303 (2009)
19.
Ruffing, A.* & Simon, M.: Analytic aspects of q-delayed exponentials: minimal growth, negative zeros and basic ghost states. J. Difference Equ. Appl. 14, 347-366 (2008)
20.
Simon, M.: Spectral theory of birth-and-death processes : Explicit methods with examples and perturbative approaches under domination of killing. Göttingen: Sierke Verl., 2008, 90 S. (Zugl. München, Technische Universität München, Diss., 2008) (Reihe Mathematik ; Bd. 1)