Tim Mathew

713 citations
14 papers · 513 · h-index 8

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Dialysis and Renal Disease Management 2
    • Renal Diseases and Glomerulopathies 1
    • Chronic Disease Management Strategies 2

Tim Mathew

13 papers receiving 497 citations

Peers

Tim Mathew
Comparison fields: 5 of 87
  • Transplantation 61
  • Nephrology 138
  • Dermatology 51
  • Oncology 152
  • Epidemiology 188
Replace Marc A G J ten Dam with:
Marc A G J ten Dam Netherlands
F. Jarraya Tunisia
Michael Huang Canada
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Tim Mathew relative to Marc A G J ten Dam Netherlands Marc A G J ten Dam's profile →
Citations per field
00.5×5.8×
Marc A G J ten Dam · 1×
Citations per year

Countries citing papers authored by Tim Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Tim Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
De novo malignancy emerges as a major cause of morbidity and late failure in renal transplantation.
1993167
2 200688
3 201667
4 201256
5
Chronic kidney disease (CKD) management in general practice
200748
6
Cancer incidence in renal transplant patients treated with azathioprine or cyclosporine.
198729
7 199423
8 201820
9
Long-term follow-up of a prospective trial of low-dose versus high-dose steroids in cadaveric renal transplantation.
19875
10
Review: An Australian model of care for co-morbid diabetes and chronic kidney disease.
20183
11 20063
12 19762
13
Recurrent urinary tract infection
19971
14
Point-of-care testing for kidney disease
20161

About Tim Mathew

Tim Mathew is a scholar working on Nephrology, Epidemiology, Endocrinology, Diabetes and Metabolism, General Health Professions and Transplantation, having authored 14 papers that have together received 513 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Diabetes Management and Education (3 papers), Primary Care and Health Outcomes (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Chronic Disease Management Strategies (2 papers), Dialysis and Renal Disease Management (2 papers), Renal Diseases and Glomerulopathies (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Transplantation (61 citations), Nephrology (138 citations), Dermatology (51 citations), Oncology (152 citations) and Epidemiology (188 citations). Tim Mathew has collaborated with scholars based in Australia, France and United States. Frequent co-authors include A. P. S. Disney, A. G. R. Sheil, Andrew Weekes, Merlin C. Thomas, Mark E. Cooper, Alan Cass, Clement Lo, Rowan G. Walker, Helena Teede and Martin Gallagher. Their work appears in journals such as The Medical Journal of Australia, Nephrology Dialysis Transplantation, Nephrology, American Journal of Kidney Diseases and PLoS ONE.

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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