Amber McBride Standalone Novels books in order

Amber McBride's standalone novels, many written in verse, explore grief, identity, mental health, and Black American experience through lyrical YA fiction aimed at teen and adult readers.

Reading order

# Title Published Author Buy on Amazon
1 Me (Moth) 2021 Amber McBride Buy
2 We Are All So Good at Smiling 2023 Amber McBride Buy
3 Gone Wolf 2023 Amber McBride Buy
4 Onyx & Beyond 2024 Amber McBride Buy
5 The Leaving Room 2025 Amber McBride Buy

Amber McBride’s standalone novels work individually, each built around its own protagonist and emotional arc, but they share a consistent voice and a set of concerns about identity, loss, and the body’s relationship to history and memory. Me (Moth), published in 2021, follows a girl who has lost her family and finds unexpected connection on a road trip with a boy carrying his own grief. The novel’s verse form lets McBride move between states of mind with unusual speed and intimacy.

We Are All So Good at Smiling and Gone Wolf, both published in 2023, extended her range while staying in the same emotional territory. Onyx & Beyond and The Leaving Room show a writer pushing the form further, using the page’s white space as part of the meaning. For readers drawn to poetry but new to fiction, or to fiction readers open to something more formally adventurous, McBride’s novels offer an accessible entry point.

Frequently Asked Questions

How many books are in the Amber McBride Standalone Novels series?

There are five books in the Amber McBride Standalone Novels series, published between 2021 and 2025.

What is the first book in the Amber McBride Standalone Novels series?

The first book in the Amber McBride Standalone Novels series is Me (Moth), published in 2021.

Do Amber McBride's standalone novels need to be read in order?

No, her standalone novels are each independent stories with separate characters and plots. Me (Moth) is the most celebrated and a natural starting point, but readers can pick up any of the books based on interest without needing prior context.

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