diff --git a/src/hdmf/backends/hdf5/h5_utils.py b/src/hdmf/backends/hdf5/h5_utils.py
index 0dc9733aa..7764ba39e 100644
--- a/src/hdmf/backends/hdf5/h5_utils.py
+++ b/src/hdmf/backends/hdf5/h5_utils.py
@@ -145,7 +145,7 @@ def dtype(self):
 
     def __getitem__(self, arg):
         rows = copy(super(AbstractH5TableDataset, self).__getitem__(arg))
-        if isinstance(arg, int):
+        if np.issubdtype(type(arg), np.integer):
             self.__swap_refs(rows)
         else:
             for row in rows:
diff --git a/src/hdmf/common/table.py b/src/hdmf/common/table.py
index a43eb42b7..e6b687ede 100644
--- a/src/hdmf/common/table.py
+++ b/src/hdmf/common/table.py
@@ -443,11 +443,14 @@ def __getitem__(self, key):
                     return self.__indices[arg]
                 else:
                     raise KeyError(arg)
-            elif isinstance(arg, (int, np.int8, np.int16, np.int32, np.int64)):
+            elif np.issubdtype(type(arg), np.integer):
                 # index by int, return row
                 ret = tuple(col[arg] for col in self.__df_cols)
-            elif isinstance(arg, (tuple, list)):
+            elif isinstance(arg, (tuple, list, np.ndarray)):
                 # index by a list of ints, return multiple rows
+                if isinstance(arg, np.ndarray):
+                    if len(arg.shape) != 1:
+                        raise ValueError("cannot index DynamicTable with multiple dimensions")
                 ret = list()
                 for i in arg:
                     ret.append(tuple(col[i] for col in self.__df_cols))