BUG: 'nrows' parameter do not seem to be honoured in read_excel()

[deathstalkr]

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Reproducible Example

import modin.pandas as pd

#without nrows parameter
df = pd.read_excel('test.xlsx')
df.shape
# output: (55213, 2)

#with nrows parameter
df = pd.read_excel('test.xlsx', nrows=1000)
df.shape
# output: (55213, 2)
# Expected output: (1000, 2)

Issue Description

It looks like the 'nrows' parameter is not getting correctly passed to the engine. I have tried with Ray and Dask (couldn't get unidist working on my machine at the time, though I suspect it wouldn't change things).
This, makes the engine read the whole spreadsheet even when I don't need to read the whole file.

Expected Behavior

When using the 'nrows' parameter for read_excel(), the engine should only read the specified number of rows as given in the parameter.

Error Logs

Installed Versions

INSTALLED VERSIONS

commit : 14680b3
python : 3.10.12
python-bits : 64
OS : Linux
OS-release : 6.8.0-60-generic
Version : #63~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue Apr 22 19:00:15 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_IN
LOCALE : en_IN.ISO8859-1

Modin dependencies

modin : 0.34.1
ray : 2.48.0
dask : 2025.7.0
distributed : 2025.7.0

pandas dependencies

pandas : 2.2.3
numpy : 2.2.6
pytz : 2022.1
dateutil : 2.9.0.post0
pip : 22.0.2
Cython : 3.1.1
sphinx : None
IPython : 8.37.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.4
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2025.5.1
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.6
lxml.etree : 5.4.0
matplotlib : 3.10.3
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : 2.9.10
pymysql : 1.4.6
pyarrow : 21.0.0
pyreadstat : None
pytest : 8.3.5
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.15.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : 0.23.0
tzdata : 2025.2
qtpy : None
pyqt5 : None