Jan Paterson

30 papers receiving 680 citations

Peers

Jan Paterson
Comparison fields: 5 of 96
  • Neuropsychology and Physiological Psychology 126
  • Research and Theory 35
  • Urology 94
  • Anesthesiology and Pain Medicine 61
  • Rheumatology 163
Replace Lorna Butler with:
Lorna Butler Canada
Lynne Morishita United States
Hanna Mayer Austria
Lisa Granville United States
Dongjuan Xu United States
E Dickinson United Kingdom
Eva Sahlberg‐Blom Sweden
Marilyn Kirshbaum United Kingdom
Natalie Ammarell United States
Catharina Lindencrona Sweden
Jan Paterson relative to Lorna Butler Canada Lorna Butler's profile →
Citations per field
00.5×10×15×18×
Lorna Butler · 1×
Citations per year

Countries citing papers authored by Jan Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Jan Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000107
2 2008104
3 199092
4 200877
5 201355
6 199745
7 199038
8 200028
9 201125
10 200824
11 200320
12 199817
13 200014
14 201413
15 200613
16 202112
17 201110
18 20149
19 20149
20 20114

About Jan Paterson

Jan Paterson is a scholar working on Rheumatology, General Health Professions, Epidemiology, Neuropsychology and Physiological Psychology and Demography, having authored 30 papers that have together received 736 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (8 papers), Geriatric Care and Nursing Homes (6 papers), Aging and Gerontology Research (4 papers), Retirement, Disability, and Employment (3 papers), Urinary Bladder and Prostate Research (3 papers), Urinary Tract Infections Management (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Nursing education and management (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (126 citations), Research and Theory (35 citations), Urology (94 citations), Anesthesiology and Pain Medicine (61 citations) and Rheumatology (163 citations). Jan Paterson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Lily Dongxia Xiao, Sharon Eustice, Brenda Roe, Gregory M. Peterson, Moira Kelton, Julie Henderson, Lesley Jeffers, Amanda Moseley, Villis R. Marshall and Carole Pinnock. Their work appears in journals such as Journal of Wound Ostomy and Continence Nursing, European Journal of Clinical Pharmacology, Epilepsia, Contemporary Nurse and Qualitative Health Research.

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.

Explore authors with similar magnitude of impact