Daniel Sumpton

22 papers receiving 675 citations

Peers

Daniel Sumpton
Comparison fields: 5 of 74
  • Nephrology 223
  • Family Practice 17
  • Rheumatology 121
  • Transplantation 16
  • Emergency Medical Services 37
Replace Ayano Kelly with:
Ayano Kelly Australia
Zaki Morad Malaysia
Erin Lindsey Duffy United States
Allan K. Grill Canada
Pamela A Lopez‐Vargas Australia
Fiona Braddon United Kingdom
Lynn M. Robertson United Kingdom
Lih-Wen Mau United States
Sharon Teo Singapore
Bassam Bernieh United Arab Emirates
Daniel Sumpton relative to Ayano Kelly Australia Ayano Kelly's profile →
Citations per field
00.5×1.5×
Ayano Kelly · 1×
Citations per year

Countries citing papers authored by Daniel Sumpton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sumpton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2018138
3 202067
4 201743
5 201940
6 201839
7 201738
8 202234
9 202033
10 201920
11 201317
12 201915
13 202014
14 202111
15 20209
16 20219
17 20198
18 20174
19 20204
20
Scope and Consistency of Adherence Related Outcomes in Randomized Controlled Trials of Interventions for Improving Medication Adherence
20173

About Daniel Sumpton

Daniel Sumpton is a scholar working on Rheumatology, Pathology and Forensic Medicine, Economics and Econometrics, Hematology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 688 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Delphi Technique in Research (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Pediatric Urology and Nephrology Studies (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Nephrology (223 citations), Family Practice (17 citations), Rheumatology (121 citations), Transplantation (16 citations) and Emergency Medical Services (37 citations). Daniel Sumpton has collaborated with scholars based in Australia, Canada and Netherlands. Frequent co-authors include Allison Tong, Jonathan C. Craig, Ayano Kelly, David J. Tunnicliffe, Geraldine Hassett, Davinder Singh‐Grewal, Kieran Edward Fallon, Vivek Thakkar, Sean G O'Neill and Kathleen Tymms. Their work appears in journals such as Arthritis Care & Research, The Journal of Rheumatology, Kidney International, American Journal of Kidney Diseases and Clinical and Experimental Rheumatology.

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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