Alex Disney

2.9k citations
48 papers · 2.1k indexed · h-index 21

Impact in

  • Nephrology top 0.5%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Renal Transplantation Outcomes and Treatments

Papers in

Alex Disney

48 papers receiving 2.0k citations

Peers

Alex Disney
Comparison fields: 5 of 106
  • Nephrology 744
  • Transplantation 189
  • Emergency Medical Services 315
  • Internal Medicine 130
  • Hematology 225
Replace Jacek Małyszko with:
Jacek Małyszko Poland
Marinus A. van den Dorpel Netherlands
Victoria S. Lim United States
Pasquale Fatuzzo Italy
Armando Lindner United States
Kayser Çağlar Türkiye
Sandra Donnelly Canada
Byung Kee Bang South Korea
Manel Vera Spain
Jonas Axelsson Sweden
Alex Disney relative to Jacek Małyszko Poland Jacek Małyszko's profile →
Citations per field
00.5×6.7×
Jacek Małyszko · 1×
Citations per year

Countries citing papers authored by Alex Disney

Since Specialization
Citations

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

Fields of papers citing papers by Alex Disney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201917
2 2018137
3 201823
4 201125
5 200969
6 20086
7 200837
8 200713
9 20053
10 200523
11 2004155
12 200149
13 200020
14 199927
15 19986
16 199760
17 19902
18 19904
19 199023
20 197420

About Alex Disney

Alex Disney is a scholar working on Transplantation, Nephrology, Emergency Medical Services, Cellular and Molecular Neuroscience and Pharmacology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (17 papers), Renal Transplantation Outcomes and Treatments (9 papers), Neuropeptides and Animal Physiology (9 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Renal and Vascular Pathologies (5 papers), Central Venous Catheters and Hemodialysis (5 papers) and Opioid Use Disorder Treatment (4 papers). The work is most often cited by research in Nephrology (744 citations), Transplantation (189 citations), Emergency Medical Services (315 citations), Internal Medicine (130 citations) and Hematology (225 citations). Alex Disney has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ronald L. Pisoni, Peter G. Kerr, Anatole Besarab, Wendy Weinstock Brown, Hugh C. Rayner, Margaret McCredie, Patrick Maisonneuve, Peter Boyle, Robert A. Wolfe and Ryszard Gellert. Their work appears in journals such as Nephrology, American Journal of Kidney Diseases, Annals of the Rheumatic Diseases, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

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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