Patrick Mayo

26 papers receiving 418 citations

Peers

Patrick Mayo
Comparison fields: 5 of 88
  • Transplantation 59
  • Pharmacology 79
  • Anesthesiology and Pain Medicine 34
  • Hepatology 33
  • Geriatrics and Gerontology 16
Replace Ulrika Wählby with:
Ulrika Wählby Sweden
J. Zwaveling Netherlands
Chantal Barin‐Le Guellec France
Claudia Marx Germany
Jae Eun Ahn United States
Madelé van Dyk Australia
Jai N. Patel United States
Kazushige Takahashi Japan
Siv Jönsson Sweden
Nassim Djebli France
Patrick Mayo relative to Ulrika Wählby Sweden Ulrika Wählby's profile →
Citations per field
00.5×3.6×
Ulrika Wählby · 1×
Citations per year

Countries citing papers authored by Patrick Mayo

Since Specialization
Citations

This map shows the geographic impact of Patrick Mayo'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 Patrick Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Mayo more than expected).

Fields of papers citing papers by Patrick Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Mayo. 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 Patrick Mayo. The network helps show where Patrick Mayo may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Mayo, 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 Patrick Mayo Line = papers co-authored together Patrick Mayo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000101
2 200643
3 201941
4
Pain management in chronic kidney disease: the pharmacokinetics and pharmacodynamics of hydromorphone and hydromorphone-3-glucuronide in hemodialysis patients.
200938
5 201923
6 202221
7 201920
8 201919
9 200119
10 199717
11 201815
12 201313
13 202011
14 201311
15 198710
16 201810
17 20167
18 20216
19 19986
20 20222

About Patrick Mayo

Patrick Mayo is a scholar working on Surgery, Molecular Biology, Infectious Diseases, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 441 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Signaling Pathways in Disease (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Palliative Care and End-of-Life Issues (3 papers), Pancreatic function and diabetes (2 papers), Analytical Methods in Pharmaceuticals (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Transplantation (59 citations), Pharmacology (79 citations), Anesthesiology and Pain Medicine (34 citations), Hepatology (33 citations) and Geriatrics and Gerontology (16 citations). Patrick Mayo has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Anthony S. Russell, Kenneth J. Skeith, Fakhreddin Jamali, Robert T. Foster, Sara N. Davison, Daren Ure, Daniel J. Trepanier, Tony K. L. Kiang, Mary H. H. Ensom and Yan Rong. Their work appears in journals such as Therapeutic Drug Monitoring, British Journal of Clinical Pharmacology, Liver International, Journal of Pharmacology and Experimental Therapeutics and Journal of the American Academy of Dermatology.

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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