diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 73b389e427648..e099f76204906 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -121,7 +121,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_hashable PR01,RT03,SA01" \
         -i "pandas.api.types.is_int64_dtype SA01" \
         -i "pandas.api.types.is_integer PR01,SA01" \
-        -i "pandas.api.types.is_integer_dtype SA01" \
         -i "pandas.api.types.is_interval_dtype SA01" \
         -i "pandas.api.types.is_iterator PR07,SA01" \
         -i "pandas.api.types.is_list_like SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 16f6bd396fe93..53edb7ced8f43 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -694,6 +694,15 @@ def is_integer_dtype(arr_or_dtype) -> bool:
         Whether or not the array or dtype is of an integer dtype and
         not an instance of timedelta64.
 
+    See Also
+    --------
+    api.types.is_integer : Return True if given object is integer.
+    api.types.is_numeric_dtype : Check whether the provided array or dtype is of a
+        numeric dtype.
+    api.types.is_float_dtype : Check whether the provided array or dtype is of a
+        float dtype.
+    Int64Dtype : An ExtensionDtype for Int64Dtype integer data.
+
     Examples
     --------
     >>> from pandas.api.types import is_integer_dtype