Stephen Cleary

852 citations
18 papers · 681 indexed · h-index 15

Impact in

Papers in

Stephen Cleary

18 papers receiving 652 citations

Peers

Stephen Cleary
Comparison fields: 5 of 74
  • Reproductive Medicine 236
  • Hepatology 62
  • Surgery 341
  • Oncology 179
  • Pathology and Forensic Medicine 98
Replace Silvio Rea with:
Silvio Rea Italy
Antonio Daniele Pinna Italy
Luis González Bayón Spain
Irene Thomassen Netherlands
Aspasia Soultati Greece
Luigi Battaglia Italy
Khashayar Fakhrian Germany
L. Drouard-Troalen France
Yong Jung Song South Korea
M Shimotsuma Japan
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Citations per field
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Silvio Rea · 1×
Citations per year

Countries citing papers authored by Stephen Cleary

Since Specialization
Citations

This map shows the geographic impact of Stephen Cleary's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Cleary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Cleary more than expected).

Fields of papers citing papers by Stephen Cleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Cleary. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Cleary. The network helps show where Stephen Cleary may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephen Cleary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Cleary Line = papers co-authored together Stephen Cleary links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201916
2 201344
3 200118
4 198917
5 19886
6
Pharmacokinetics of intraperitoneally administered dipyridamole in cancer patients.
198813
7 1987178
8 198719
9
Phase I/pharmacokinetic study of intraperitoneal cisplatin and etoposide.
198770
10
Complications of extensive adhesion formation after intraperitoneal chemotherapy.
198634
11 198673
12 19866
13
Plasma uridine changes in cancer patients treated with the combination of dipyridamole and N-phosphonacetyl-L-aspartate.
198624
14
Ip chemotherapy employing a regimen of cisplatin, cytarabine, and bleomycin.
198614
15 198526
16 198539
17 198550
18 198534

About Stephen Cleary

Stephen Cleary is a scholar working on Reproductive Medicine, Pathology and Forensic Medicine, Nephrology, Dermatology and Oncology, having authored 18 papers that have together received 681 indexed citations. Recurring topics across this work include Intraperitoneal and Appendiceal Malignancies (6 papers), Chemotherapy-induced organ toxicity mitigation (6 papers), Ovarian cancer diagnosis and treatment (4 papers), Cancer Treatment and Pharmacology (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Occupational and environmental lung diseases (2 papers), Chemotherapy-related skin toxicity (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Reproductive Medicine (236 citations), Hepatology (62 citations), Surgery (341 citations), Oncology (179 citations) and Pathology and Forensic Medicine (98 citations). Stephen Cleary has collaborated with scholars based in United States, Denmark and Ireland. Frequent co-authors include Stephen B. Howell, Maurie Markman, William E. Lucas, Maurie Markman, Solomon Zimm, Regis J. Weiss, C E Pfeifle, Ian Abramson, Thomas Chan and Paul A. Andrews. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Water Research, Frontiers in Physiology and Cancer Chemotherapy and Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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