diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 1b17deb7def90..2de83bb7a4468 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -4,7 +4,7 @@
 import collections
 import datetime as dt
 import gc
-import json
+from json import loads
 import operator
 import pickle
 import re
@@ -134,7 +134,6 @@
     algorithms as algos,
     arraylike,
     indexing,
-    missing,
     nanops,
     sample,
 )
@@ -160,7 +159,11 @@
     SingleArrayManager,
 )
 from pandas.core.internals.construction import mgr_to_mgr
-from pandas.core.missing import find_valid_index
+from pandas.core.missing import (
+    clean_fill_method,
+    clean_reindex_fill_method,
+    find_valid_index,
+)
 from pandas.core.ops import align_method_FRAME
 from pandas.core.reshape.concat import concat
 from pandas.core.shared_docs import _shared_docs
@@ -2122,7 +2125,7 @@ def _repr_data_resource_(self):
 
             as_json = data.to_json(orient="table")
             as_json = cast(str, as_json)
-            return json.loads(as_json, object_pairs_hook=collections.OrderedDict)
+            return loads(as_json, object_pairs_hook=collections.OrderedDict)
 
     # ----------------------------------------------------------------------
     # I/O Methods
@@ -2410,7 +2413,7 @@ def to_json(
 
         Examples
         --------
-        >>> import json
+        >>> from json import loads, dumps
         >>> df = pd.DataFrame(
         ...     [["a", "b"], ["c", "d"]],
         ...     index=["row 1", "row 2"],
@@ -2418,8 +2421,8 @@ def to_json(
         ... )
 
         >>> result = df.to_json(orient="split")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         {{
             "columns": [
                 "col 1",
@@ -2445,8 +2448,8 @@ def to_json(
         Note that index labels are not preserved with this encoding.
 
         >>> result = df.to_json(orient="records")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         [
             {{
                 "col 1": "a",
@@ -2461,8 +2464,8 @@ def to_json(
         Encoding/decoding a Dataframe using ``'index'`` formatted JSON:
 
         >>> result = df.to_json(orient="index")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         {{
             "row 1": {{
                 "col 1": "a",
@@ -2477,8 +2480,8 @@ def to_json(
         Encoding/decoding a Dataframe using ``'columns'`` formatted JSON:
 
         >>> result = df.to_json(orient="columns")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         {{
             "col 1": {{
                 "row 1": "a",
@@ -2493,8 +2496,8 @@ def to_json(
         Encoding/decoding a Dataframe using ``'values'`` formatted JSON:
 
         >>> result = df.to_json(orient="values")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         [
             [
                 "a",
@@ -2509,8 +2512,8 @@ def to_json(
         Encoding with Table Schema:
 
         >>> result = df.to_json(orient="table")
-        >>> parsed = json.loads(result)
-        >>> json.dumps(parsed, indent=4)  # doctest: +SKIP
+        >>> parsed = loads(result)
+        >>> dumps(parsed, indent=4)  # doctest: +SKIP
         {{
             "schema": {{
                 "fields": [
@@ -5169,7 +5172,7 @@ def reindex(self: NDFrameT, *args, **kwargs) -> NDFrameT:
 
         # construct the args
         axes, kwargs = self._construct_axes_from_arguments(args, kwargs)
-        method = missing.clean_reindex_fill_method(kwargs.pop("method", None))
+        method = clean_reindex_fill_method(kwargs.pop("method", None))
         level = kwargs.pop("level", None)
         copy = kwargs.pop("copy", None)
         limit = kwargs.pop("limit", None)
@@ -9201,7 +9204,7 @@ def align(
         4  600.0  700.0  800.0  900.0 NaN
         """
 
-        method = missing.clean_fill_method(method)
+        method = clean_fill_method(method)
 
         if broadcast_axis == 1 and self.ndim != other.ndim:
             if isinstance(self, ABCSeries):