diff --git a/dask_expr/_repartition.py b/dask_expr/_repartition.py
index eb3588586..fa47e7b02 100644
--- a/dask_expr/_repartition.py
+++ b/dask_expr/_repartition.py
@@ -7,7 +7,7 @@
 import pandas as pd
 from dask.base import tokenize
 from dask.dataframe import methods
-from dask.dataframe.core import _map_freq_to_period_start, split_evenly
+from dask.dataframe.core import _concat, _map_freq_to_period_start, split_evenly
 from dask.dataframe.utils import is_series_like
 from dask.utils import iter_chunks, parse_bytes
 from pandas.api.types import is_datetime64_any_dtype, is_numeric_dtype
@@ -161,7 +161,7 @@ def _layer(self):
         new_partitions_boundaries = self._partitions_boundaries
         return {
             (self._name, i): (
-                methods.concat,
+                _concat,
                 [(self.frame._name, j) for j in range(start, end)],
             )
             for i, (start, end) in enumerate(
diff --git a/dask_expr/tests/test_collection.py b/dask_expr/tests/test_collection.py
index 9bce6b200..f1b57abdc 100644
--- a/dask_expr/tests/test_collection.py
+++ b/dask_expr/tests/test_collection.py
@@ -8,6 +8,7 @@
 
 import dask
 import numpy as np
+import pandas as pd
 import pytest
 from dask.dataframe._compat import PANDAS_GE_210
 from dask.dataframe.utils import UNKNOWN_CATEGORIES
@@ -1918,3 +1919,10 @@ def test_axes(df, pdf):
     [assert_eq(d, p) for d, p in zip(df.axes, pdf.axes)]
     assert len(df.x.axes) == len(pdf.x.axes)
     assert_eq(df.x.axes[0], pdf.x.axes[0])
+
+
+def test_map_partitions_series(df, pdf):
+    result = df.x.map_partitions(M.min).compute()
+    assert isinstance(result, pd.Series)
+    assert len(result) == df.npartitions
+    assert min(pdf.x) == min(result)