Jetset: selecting the optimal microarray probe set to represent a gene. - Qiyuan Li; Nicolai J. Birkbak; Balazs Györffy; Zoltan Szallasi; Aron C. Eklund (BMC Bioinform., 2011)

Predicting effective drug combinations via network propagation. - Balázs Ligeti; Roberto Vera; Gergely Lukács; Balazs Györffy; Sándor Pongor (BioCAS, 2013)

New network topology approaches reveal differential correlation patterns in breast cancer. - Michael Bockmayr; Frederick Klauschen; Balazs Györffy; Carsten Denkert; Jan Budczies (BMC Syst. Biol., 2013)

Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups. - Balazs Györffy; Andrea Magda Nagy; Péter Herman; Ádám Török (Scientometrics, 2018)

A snapshot of 3649 Web-based services published between 1994 and 2017 shows a decrease in availability after 2 years. - Ágnes Osz; Lorinc Sándor Pongor; Danuta Szirmai; Balazs Györffy (Briefings Bioinform., 2019)

Research funding: past performance is a stronger predictor of future scientific output than reviewer scores. - Balazs Györffy; Péter Herman; István Szabó (J. Informetrics, 2020)

Is there a golden age in publication activity? - an analysis of age-related scholarly performance across all scientific disciplines. - Balazs Györffy; Gyöngyi Csuka; Péter Herman; Ádám Török (Scientometrics, 2020)

COVIDOUTCOME - estimating COVID severity based on mutation signatures in the SARS-CoV-2 genome. - Ádám Nagy; Balázs Ligeti; János Szebeni; Sándor Pongor; Balazs Györffy (Database J. Biol. Databases Curation, 2021)