diff --git a/rialto_airflow/harvest/openalex.py b/rialto_airflow/harvest/openalex.py
index 269f3d4..afeb7e9 100644
--- a/rialto_airflow/harvest/openalex.py
+++ b/rialto_airflow/harvest/openalex.py
@@ -118,12 +118,13 @@ def publications_from_dois(dois: list, batch_size=75):
     Look up works by DOI in batches that fit within OpenAlex request size limits
     """
     for doi_batch in batched(dois, batch_size):
-        doi_list = "|".join([doi for doi in doi_batch])
-
-        result = Works().filter(doi=doi_list).get()
+        # TODO: do we need this to stay within 100,000 requests / day API quota?
         time.sleep(1)
-        for pub in result:
-            yield normalize_publication(pub)
+
+        doi_list = "|".join([doi for doi in doi_batch])
+        for page in Works().filter(doi=doi_list).paginate(per_page=200):
+            for pub in page:
+                yield normalize_publication(pub)
 
 
 def normalize_publication(pub) -> dict:
diff --git a/test/data/openalex-dois.csv b/test/data/openalex-dois.csv
new file mode 100644
index 0000000..a56178f
--- /dev/null
+++ b/test/data/openalex-dois.csv
@@ -0,0 +1,232 @@
+doi
+10.1002/adma.202103646
+10.1001/jamacardio.2021.6059
+10.3389/fimmu.2022.832501
+10.1161/strokeaha.122.040540
+10.1001/jamainternmed.2023.2561
+10.1148/radiol.220882
+10.1016/s0140-6736(24)01019-5
+10.1073/pnas.2121609119
+10.1038/s41524-022-00846-z
+10.1016/j.ssresearch.2023.102873
+10.1021/jacs.2c13551
+10.1245/s10434-023-13531-2
+10.1089/dia.2023.0405
+10.3390/antiox11112189
+10.1158/0008-5472.can-22-0554
+10.3390/cancers15092564
+10.1177/0272989x241232967
+10.1182/bloodadvances.2024012637
+10.1136/bmjresp-2022-001268
+10.1021/acs.jpcc.2c02381
+10.3847/1538-4357/acc85c
+10.1161/strokeaha.122.039182
+10.1063/5.0113079
+10.1007/s11912-022-01192-5
+10.1182/blood-2023-184531
+10.1093/mnras/stac1551
+10.1016/j.xfre.2023.12.001
+10.1161/str.55.suppl_1.tmp91
+10.48550/arxiv.2402.17113
+10.1101/2024.03.12.24303785
+10.26434/chemrxiv-2024-h0k05
+10.3847/1538-4357/ad41de
+10.1016/j.crmeth.2024.100779
+10.1111/pan.14514
+10.1080/21645515.2022.2072138
+10.1101/2022.07.08.499233
+10.1007/978-3-031-19772-7_19
+10.1088/1367-2630/acc201
+10.1093/jpids/piad057
+10.1145/3581784.3607033
+10.1182/blood-2023-190734
+10.1053/j.ajkd.2023.04.005
+10.1007/978-1-0716-2986-4_4
+10.1002/hon.3163_151
+10.2337/db23-1792-pub
+10.1101/2023.08.22.23294452
+10.1182/blood-2023-186853
+10.1182/blood-2023-178257
+10.1145/3572848.3577515
+10.1117/12.2649314
+10.48550/arxiv.2305.05786
+10.1093/humrep/dead093.724
+10.1111/jon.13144
+10.1136/jnis-2023-snis.3
+10.1161/strokeaha.123.044058
+10.48550/arxiv.2311.16933
+10.1681/asn.20233411s167a
+10.1681/asn.20233411s1901b
+10.1161/str.45.suppl_1.wp175
+10.48550/arxiv.2202.12311
+10.2337/db22-262-or
+10.1101/2022.10.17.512618
+10.1161/str.47.suppl_1.tp50
+10.1161/str.46.suppl_1.tmp50
+10.1161/str.44.suppl_1.awmp11
+10.48550/arxiv.2203.15809
+10.1007/s11695-022-06092-y
+10.26226/m.6275705e66d5dcf63a31173d
+10.1200/jco.2022.40.16_suppl.7553
+10.1016/j.hfh.2022.100020
+10.48550/arxiv.2207.14349
+10.48550/arxiv.2208.09132
+10.1353/hub.2017.0050
+10.21203/rs.3.rs-2219318/v1
+10.2196/preprints.43036
+10.1038/s41587-019-0114-2
+10.1007/978-1-4939-7493-1_12
+10.1021/jacs.6b09575
+10.1103/physrevb.89.115114
+10.1182/blood-2016-05-718528
+10.1182/blood-2017-10-811224
+10.1021/acsenergylett.8b01441
+10.1086/308723
+10.1161/strokeaha.109.577650
+10.1145/1133255.1134018
+10.1109/wacv.2019.00156
+10.1016/s2352-3026(20)30221-0
+10.1158/2159-8290.cd-20-0282
+10.1177/0272989x18754513
+10.18632/oncotarget.24310
+10.1109/tmi.2020.2974159
+10.1148/radiol.2021203651
+10.1109/tcyb.2020.3016953
+10.1182/blood.v128.22.181.181
+10.1007/s00268-019-05118-4
+10.1126/sciadv.abb2210
+10.1016/s2468-2667(21)00162-6
+10.1145/3394486.3403142
+10.1161/strokeaha.121.034444
+10.1177/17474930211065635
+10.1609/aaai.v33i01.33011085
+10.1039/d0fd00115e
+10.1053/j.gastro.2020.05.100
+10.1029/2021wr030352
+10.1111/pedi.12939
+10.1161/jaha.121.022880
+10.1002/ima.22423
+10.4324/9781003064350-3
+10.1111/pedi.12903
+10.1103/physrevd.101.043011
+10.1634/theoncologist.2020-0040
+10.1182/blood-2020-134798
+10.1101/2021.08.02.21261516
+10.4300/jgme-d-19-00556.1
+10.1182/blood.v120.21.153.153
+10.1007/s00464-019-07012-5
+10.1182/blood.v124.21.4434.4434
+10.1139/cjfas-2019-0445
+10.1200/jco.2021.39.15_suppl.3006
+10.1016/j.soard.2021.07.019
+10.1182/blood-2018-99-118828
+10.1182/blood-2018-99-119974
+10.48550/arxiv.1907.12727
+10.1016/j.ccl.2019.07.013
+10.1145/3472749.3474809
+10.1182/blood-2021-145124
+10.1182/blood.v106.11.3344.3344
+10.1182/blood-2019-131761
+10.1182/blood.v126.23.1536.1536
+10.1161/str.44.suppl_1.a179
+10.1016/j.jstrokecerebrovasdis.2020.104820
+10.1161/str.51.suppl_1.tp137
+10.1182/blood.v108.11.813.813
+10.1161/str.47.suppl_1.wp29
+10.1161/str.43.suppl_1.a2546
+10.1136/heartjnl-2014-307109.254
+10.48550/arxiv.1808.02883
+10.5744/fa.2021.0011
+10.1182/blood.v110.11.303.303
+10.1182/blood-2019-131532
+10.1161/str.51.suppl_1.wp15
+10.1200/jco.2020.38.15_suppl.9012
+10.37526/1526-744x.2020.47.4.343
+10.1145/3259006
+10.2139/ssrn.3479447
+10.1007/978-3-319-74365-3_215-1
+10.1161/str.52.suppl_1.p321
+10.1161/str.52.suppl_1.p513
+10.1002/adhm.202170038
+10.1016/s2152-2650(21)01559-7
+10.1038/nmat4465
+10.1016/s0140-6736(10)60491-6
+10.1001/jama.2010.1862
+10.1016/s1470-2045(15)00533-1
+10.1002/ana.21632
+10.1182/blood-2015-10-673145
+10.1182/blood-2013-03-491514
+10.1145/1073204.1073268
+10.1046/j.1365-8711.2002.05206.x
+10.1213/00000539-199208000-00023
+10.1210/en.2009-0923
+10.1021/jz5020532
+10.1042/cs20140059
+10.3109/10428194.2012.742521
+10.1038/tp.2017.12
+10.1063/1.5041381
+10.1046/j.1365-8711.2000.03621.x
+10.1136/neurintsurg-2013-010973
+10.1093/cercor/bhs165
+10.2217/nnm.13.3
+10.1021/acs.inorgchem.8b00902
+10.1021/acs.jpclett.9b00475
+10.1161/01.str.28.7.1501
+10.1182/blood-2004-10-3820
+10.1063/1.2956679
+10.1145/1926385.1926407
+10.3847/0067-0049/227/1/3
+10.1001/jamainternmed.2019.0299
+10.1016/s1384-1076(01)00065-3
+10.1093/mnras/sts288
+10.1145/2555243.2555258
+10.1093/mnras/stu2091
+10.1093/mnras/stw615
+10.1056/nejmc1803856
+10.1002/hon.57_2629
+10.1086/368148
+10.1182/bloodadvances.2019032136
+10.1145/1941553.1941558
+10.1212/wnl.0b013e3182a08f07
+10.1080/13607863.2018.1455167
+10.1007/s10562-018-2542-x
+10.1145/2499368.2451150
+10.1007/s10909-018-1935-y
+10.3390/rs11141701
+10.1016/j.bpsc.2019.02.003
+10.1002/ana.410320319
+10.1021/acs.jpclett.7b01549
+10.1117/12.2232912
+10.1002/ajpa.23267
+10.1017/s0950268818000857
+10.1093/pm/pnx061
+10.1007/s10815-015-0525-z
+10.1177/1747493019851282
+10.1145/543552.512531
+10.48550/arxiv.1411.0050
+10.1200/jco.2016.34.15_suppl.9000
+10.1002/hon.2438_115
+10.1016/j.fertnstert.2018.02.032
+10.1109/iccee.2008.48
+10.1063/1.2905657
+10.1176/appi.ajp.2008.08050764
+10.1161/str.50.suppl_1.177
+10.1016/s0016-5085(19)36826-x
+10.1101/373886
+10.1136/neurintsurg-2016-012589.57
+10.1142/9789814623995_0379
+10.1016/j.jval.2017.08.2450
+10.1063/1.2905673
+10.1142/9789814293792_0034
+10.1016/j.juro.2018.02.566
+10.1117/12.2313927
+10.1016/j.ijrobp.2018.07.077
+10.1016/j.jamcollsurg.2018.07.200
+10.1161/str.50.suppl_1.wmp115
+10.2337/db19-2398-pub
+10.1161/01.str.23.6.912
+10.1016/j.hoc.2013.10.004
+10.1002/adma.201600213
+10.1016/j.fertnstert.2005.07.1044
+10.1055/s-0034-1396254
+10.1016/b978-0-7216-0081-9.50029-7
diff --git a/test/harvest/test_openalex.py b/test/harvest/test_openalex.py
index 4b0d1bc..3ef1a64 100644
--- a/test/harvest/test_openalex.py
+++ b/test/harvest/test_openalex.py
@@ -39,12 +39,14 @@ def test_doi_orcids_pickle(tmp_path):
 
 
 def test_publications_from_dois():
-    pubs = list(
-        openalex.publications_from_dois(
-            ["10.48550/arxiv.1706.03762", "10.1145/3442188.3445922"]
-        )
-    )
-    assert len(pubs) == 2
+    # get 231 dois that we know are in openalex
+    dois = pandas.read_csv("test/data/openalex-dois.csv").doi.to_list()
+    assert len(dois) == 231
+
+    # look up the publication metadata for them
+    pubs = list(openalex.publications_from_dois(dois))
+    assert len(pubs) == 231, "should paginate (page size=200)"
+    assert len(pubs) == len(set([pub["doi"] for pub in pubs])), "DOIs are unique"
     assert set(openalex.FIELDS) == set(pubs[0].keys()), "All fields accounted for."
     assert len(pubs[0].keys()) == 51, "first publication has 51 columns"
     assert len(pubs[1].keys()) == 51, "second publication has 51 columns"