The Fallen Angel
of Daniel Silva
Series: Gabriel Allon #12
Description
After narrowly surviving his last operation, Gabriel Allon, the wayward son of Israeli intelligence, has taken refuge behind the walls of the Vatican, where he is restoring one of Caravaggio's greatest masterpieces. But early one morning he is summoned to St. Peter's Basilica by Monsignor Luigi Donati, the all-powerful private secretary to his Holiness Pope Paul VII; the body of a beautiful woman lies broken beneath Michelangelo's magnificent dome. The Vatican police suspect suicide, though Gabriel believes otherwise. So, it seems, does Donati. But the monsignor is fearful that a public inquiry might inflict another scandal on the Church, and so he calls upon Gabriel to quietly pursue the truthâwith one caveat."Rule number one at the Vatican," Donati said. "Don't ask too many questions."Gabriel learns that the dead woman had uncovered a dangerous secretâa secret that threatens a global criminal enterprise that is looting timeless treasures of antiquity and selling them to the highest bidder. But there is more to this network than just greed. A mysterious operative is plotting an act of sabotage that will plunge the world into a conflict of apocalyptic proportions . . .
Gender
Main Characters
Book Details
- Format Hardcover
- Pages 406 pages
- Publisher Harper/HarperCollins Publishers L.L.C.
- Publication Date July 17th 2012
- First Publication Not informed
- Language English
- ISBN 9780062073129
- Edition First Edition (U.S.)
- Category Fiction
- Scenario []
Rate this work
đ Log in to evaluate this book.
Share your opinion with other readers. Your feedback is very important!
AI-Powered Recommendations
Based on your reading of "The Fallen Angel", our dual AI algorithms suggest these titles. ⥠FAISS Baseline đ§ PyTorch Enhanced
Top Picks For You
đŻ Smart Selection
How do we choose these recommendations?
Similar Style Recommendations
Books with similar themes, authors, and writing styles to what you're reading now.
Smart AI Matches
Our advanced AI finds books you might love based on deeper patterns and reader preferences.
