diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index c4d91da70adb5..9ac06c6b8d6ad 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -314,7 +314,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_sparse SA01" \
         -i "pandas.api.types.is_string_dtype SA01" \
         -i "pandas.api.types.is_timedelta64_ns_dtype SA01" \
-        -i "pandas.api.types.is_unsigned_integer_dtype SA01" \
         -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
         -i "pandas.api.types.union_categoricals RT03,SA01" \
         -i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index bee8af46baa64..207e2aa68c162 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -771,6 +771,15 @@ def is_unsigned_integer_dtype(arr_or_dtype) -> bool:
     boolean
         Whether or not the array or dtype is of an unsigned integer dtype.
 
+    See Also
+    --------
+    api.types.is_signed_integer_dtype : Check whether the provided array
+        or dtype is of an signed integer dtype.
+    api.types.is_integer_dtype : Check whether the provided array or dtype
+        is of an integer dtype.
+    api.types.is_numeric_dtype : Check whether the provided array or dtype
+        is of a numeric dtype.
+
     Examples
     --------
     >>> from pandas.api.types import is_unsigned_integer_dtype