Price: $3.99
(as of Oct 19, 2024 23:10:32 UTC – Details)
Will she ever find a home where she can belong?
The dramatic novel from the Sunday Times bestselling author of LOST ANGEL.
ALONE…Jennifer Lavender was a lonely child. She always felt like second best and desperately craved her parents’ love. When Jenny learns she was adopted everything falls into place. But her dream of finding her real family can never be fulfilled – her mother died alone giving birth.
ABANDONED… Now a grown woman and married to Marcos, she feels loved. But when the police show up, Jenny realises that her marriage is not what it seemed. Destitute, she is forced to start again.
ASTOUNDED… But soon Jenny meets a young woman who will change her life forever. Together they search for the truth, but what they discover may be more than they can bear…
A gripping and heartrending saga from the Sunday Times bestseller. Perfect for fans of Katie Flynn and Dilly Court.
Praise for The Forgotten Child:
‘Another fantastic story with twists and turns. I cried and laughed so many times, I could read it all over again’ Reader Review ⭐⭐⭐⭐⭐
‘Enjoyed every moment of this book, it’s a page-turner all the way through!’ Reader Review ⭐⭐⭐⭐⭐
‘Loved it, COULD NOT put it down!’ Reader Review ⭐⭐⭐⭐⭐
‘My favourite Kitty Neale book so far’ Reader Review ⭐⭐⭐⭐⭐
‘I sometimes know how a book will end before I am even half way through it, but this had me guessing!’ Reader Review ⭐⭐⭐⭐⭐
‘As you read it you feel like you are a living part of the story’ Reader Review ⭐⭐⭐⭐⭐
ASIN : B003UN704I
Publisher : Avon (July 2, 2010)
Publication date : July 2, 2010
Language : English
File size : 2799 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Enabled
Print length : 499 pages
Customers say
Customers find the story enjoyable and easy to read. They also describe the author as an easy-to-read writer. Opinions differ on the storyline and character development. Some find it good, while others say it’s predictable.
AI-generated from the text of customer reviews
