Tim Mathew

713 citations
14 papers · 513 indexed · h-index 8

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
Rachel C. Forbes United States
Henk W. van Hamersvelt Netherlands
Carmen Mon Spain
Subhash Yadav India
Anthony Griffin Australia
Gurprataap Singh Sandhu United States
Mohammed Alghonaim Saudi Arabia
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-authorship network

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

About Tim Mathew

Tim Mathew is a scholar working on Transplantation, Nephrology, Endocrinology, Diabetes and Metabolism, Epidemiology and Hepatology, having authored 14 papers that have together received 513 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Primary Care and Health Outcomes (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Diabetes Management and Education (3 papers), Chronic Disease Management Strategies (2 papers), Dialysis and Renal Disease Management (2 papers), Urinary Tract Infections Management (1 paper) and Liver Disease and Transplantation (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, Greg Johnson, Helena Teede, Rowan G. Walker and Sophia Zoungas. 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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