Appellate Division of the Supreme Court of New York, 2025

People v. Johnson

People v. Johnson
Appellate Division of the Supreme Court of New York · Decided December 17, 2025
People v. Johnson

Opinion

People v Johnson (2025 NY Slip Op 07023)

People v Johnson
2025 NY Slip Op 07023
Decided on December 17, 2025
Appellate Division, Second Department
Published by New York State Law Reporting Bureau pursuant to Judiciary Law § 431.
This opinion is uncorrected and subject to revision before publication in the Official Reports.


Decided on December 17, 2025 SUPREME COURT OF THE STATE OF NEW YORK Appellate Division, Second Judicial Department
BETSY BARROS, J.P.
CHERYL E. CHAMBERS
DEBORAH A. DOWLING
CARL J. LANDICINO
PHILLIP HOM, JJ.

2023-12436
(Ind. No. 72468/23)

[*1]The People of the State of New York, respondent,

v

Elizabeth Johnson, appellant.




Patricia Pazner, New York, NY (Steven C. Kuza of counsel), for appellant.

Melinda Katz, District Attorney, Kew Gardens, NY (Johnnette Traill and Amanda Iannuzzi of counsel; Sarah Walter on the memorandum), for respondent.



DECISION & ORDER

Appeal by the defendant, as limited by her motion, from a sentence of the Supreme Court, Queens County (Mary L. Bejarano, J.), imposed September 28, 2023, upon her plea of guilty, on the ground that the period of postrelease supervision imposed as part of the sentence was excessive.

ORDERED that the sentence is affirmed.

The record demonstrates that the defendant knowingly, voluntarily, and intelligently waived her right to appeal (see People v Lowe, _____ AD3d _____, 2025 NY Slip Op 05257; People v Lollis, 241 AD3d 1588). The defendant's valid waiver of her right to appeal precludes appellate review of her contention that the period of postrelease supervision imposed as part of the sentence was excessive (see People v Lopez, 6 NY3d 248, 256).

BARROS, J.P., CHAMBERS, DOWLING, LANDICINO and HOM, JJ., concur.

ENTER:

Darrell M. Joseph

Clerk of the Court



Case-law data current through December 31, 2025. Source: CourtListener bulk data.