diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 9806e7177c9b9..039ea9e881d01 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -197,7 +197,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.dt.tz_convert PR01,PR02" \
         -i "pandas.Series.dt.tz_localize PR01,PR02" \
         -i "pandas.Series.dt.unit GL08" \
-        -i "pandas.Series.dtype SA01" \
         -i "pandas.Series.eq PR07,SA01" \
         -i "pandas.Series.floordiv PR07" \
         -i "pandas.Series.ge PR07,SA01" \
@@ -205,7 +204,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.hasnans SA01" \
         -i "pandas.Series.is_monotonic_decreasing SA01" \
         -i "pandas.Series.is_monotonic_increasing SA01" \
-        -i "pandas.Series.is_unique SA01" \
         -i "pandas.Series.kurt RT03,SA01" \
         -i "pandas.Series.kurtosis RT03,SA01" \
         -i "pandas.Series.le PR07,SA01" \
@@ -237,7 +235,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.rsub PR07" \
         -i "pandas.Series.rtruediv PR07" \
         -i "pandas.Series.sem PR01,RT03,SA01" \
-        -i "pandas.Series.shape SA01" \
         -i "pandas.Series.skew RT03,SA01" \
         -i "pandas.Series.sparse PR01,SA01" \
         -i "pandas.Series.sparse.density SA01" \
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 87e87538ca1d9..8b9222a4241a5 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -342,6 +342,12 @@ def shape(self) -> Shape:
         """
         Return a tuple of the shape of the underlying data.
 
+        See Also
+        --------
+        Series.ndim : Number of dimensions of the underlying data.
+        Series.size : Return the number of elements in the underlying data.
+        Series.nbytes : Return the number of bytes in the underlying data.
+
         Examples
         --------
         >>> s = pd.Series([1, 2, 3])
@@ -1097,6 +1103,12 @@ def is_unique(self) -> bool:
         -------
         bool
 
+        See Also
+        --------
+        Series.unique : Return unique values of Series object.
+        Series.drop_duplicates : Return Series with duplicate values removed.
+        Series.duplicated : Indicate duplicate Series values.
+
         Examples
         --------
         >>> s = pd.Series([1, 2, 3])
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 2065a2ad5530e..8474fd0d74919 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -626,6 +626,13 @@ def dtype(self) -> DtypeObj:
         """
         Return the dtype object of the underlying data.
 
+        See Also
+        --------
+        Series.dtypes : Return the dtype object of the underlying data.
+        Series.astype : Cast a pandas object to a specified dtype dtype.
+        Series.convert_dtypes : Convert columns to the best possible dtypes using dtypes
+            supporting pd.NA.
+
         Examples
         --------
         >>> s = pd.Series([1, 2, 3])