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Nature Communications|June 22, 2019
Signatures of Mottness and Hundness in archetypal correlated metalsXiaoyu Deng, Katharina M Stadler, Kristjan Haule, et al.Cancer Epidemiology|October 11, 2024
Cancer of the paranasal sinuses in Germany: Data on incidence and survival from a population-based cancer registryLisa Nachtsheim, Lennart Möller, Florian Oesterling, et al.Scandinavian Journal of Medicine & Science in Sports|October 4, 2019
Retinal endothelial function in cardiovascular risk patients: A randomized controlled exercise trialLukas Streese, Konstantin Kotliar, Arne Deiseroth, et al.Scientific Reports|August 5, 2018
Unusual electronic and vibrational properties in the colossal thermopower material FeSb2C C Homes, Q Du, C Petrovic, et al.Nature Communications|January 23, 2020
Author Correction: Signatures of Mottness and Hundness in archetypal correlated metalsXiaoyu Deng, Katharina M Stadler, Kristjan Haule, et al.International Ophthalmology|October 21, 2025
Vascular reaction parameters correlate with severe nerve fibre thickness loss and visual field defects in glaucomaJulia Prinz, Matthias Fuest, Konstantin Kotliar, et al.Cardiovascular Research|February 12, 2021
Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learningStanislas Werfel, Roman Günthner, Alexander Hapfelmeier, et al.Journal of the American Chemical Society|June 9, 2022
LiYbSe2: Frustrated Magnetism in the Pyrochlore LatticeRanuri S Dissanayaka Mudiyanselage, Haozhe Wang, Olivia Vilella, et al.Cost Effectiveness and Resource Allocation : C/E|October 26, 2023
Cost-effectiveness analysis of surgical proximal femur fracture prevention in elderly: a Markov cohort simulation modelMomin S Alnemer, Konstantin E Kotliar, Valentin Neuhaus, et al.Materials (Basel, Switzerland)|December 1, 2020
Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural NetworksIvan Pavlenko, Milan Saga, Ivan Kuric, et al.Pageof 38