This past weekend at MegaCon Orlando, fans learned about some of the new titles and stories that await in FALL OF X, a new era of X-Men storytelling that will kick off this summer. The explosive payoff to plot threads that have been brewing since 2019’s revolutionary HOUSE OF X and POWERS OF X, FALL OF X will determine if mutantkind’s prosperous Krakoan Age can truly last forever or if its foundation has doomed it from the start.
Today, fans can check out the covers for X-Men titles on sale in July, the month before FALL OF X officially begins. These issues represent the final chapters of Krakoa as we know it before it all comes crashing down in X-MEN: HELLFIRE GALA #1!
Also on sale in July, Gillen teams up with Paco Medina in X-MEN: BEFORE THE FALL – SINISTER FOUR #1, one of four pivotal one-shots that set the stage for FALL OF X! As the nineteenth century drew to a close, the dying Nathaniel Essex unleashed four clones of himself into the world. They've been haunting it ever since, while lurking in the shadows. We know what Sinister has been up to. What about the others? In this issue, we delve into their past... and discover their latest atrocity. When they start to... date?
Check out the covers now and stay tuned for more FALL OF X news in the weeks ahead, including the reveal of this year’s HELLFIRE GALA VARIANT COVERS.
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About The Author:
Robert Patrick completed his PhD in Theoretical Chemistry from the University of Notre Dame in 2009 and was a contributing developer to the OpenMD Molecular Simulation framework. Dr. Vardeman joined Notre Dame's Center for Research Computing in 2009 as a Computational Scientist with a research interest in developing ontologies to connect data to computational models. Dr. Vardeman has been a participant in several GeoVocamp/Spatial Ontology Community of Practice meetings for developing spatial ontologies. Dr. Vardeman is part of the NSF funded Data and Software Preservation for Open Science (DASPOS) effort aimed at exploring High Energy Physics data and software and possible commonality to other scientific data.