Donal Reddan

7.7k citations
72 papers · 5.3k indexed · 1 hit paper · h-index 31

Donal Reddan

70 papers receiving 5.1k citations

Hit Papers

Correction of Anemia with Epoetin Alfa in Chronic Kidney ...1.9k200620262012201950010001.5k

Peers

Donal Reddan
Comparison fields: 5 of 121
  • Nephrology 2.9k
  • Hematology 2.3k
  • Transplantation 239
  • Genetics 805
  • Cardiology and Cardiovascular Medicine 1.3k
Replace Patrick S. Parfrey with:
Patrick S. Parfrey Canada
Marc A. Pfeffer United States
Patrick S. Parfrey Canada
Marsha Wolfson United States
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John D. Harnett Canada
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Donal Reddan relative to Patrick S. Parfrey Canada Patrick S. Parfrey's profile →
Citations per field
00.5×1.5×
Patrick S. Parfrey · 1×
Citations per year

Countries citing papers authored by Donal Reddan

Since Specialization
Citations

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

Fields of papers citing papers by Donal Reddan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20183
3 20165
4 201339
5 201220
6 200966
7 200848
8
Correction of Anemia with Epoetin Alfa in Chronic Kidney Diseasebreakdown →
20061888
9 200624
10 2005151
11 20056
12 200454
13 200457
14 200347
15 20036
16 200342
17 2003145
18 200230
19 200148
20 2001148

About Donal Reddan

Donal Reddan is a scholar working on Nephrology, Hematology, Emergency Medical Services, Transplantation and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 5.3k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (30 papers), Erythropoietin and Anemia Treatment (16 papers), Chronic Kidney Disease and Diabetes (14 papers), Iron Metabolism and Disorders (13 papers), Blood Pressure and Hypertension Studies (11 papers), Hemoglobinopathies and Related Disorders (9 papers), Acute Kidney Injury Research (8 papers) and Central Venous Catheters and Hemodialysis (8 papers). The work is most often cited by research in Nephrology (2.9k citations), Hematology (2.3k citations), Transplantation (239 citations), Genetics (805 citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Donal Reddan has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Lynda A. Szczech, Ajay Singh, Shelly Sapp, Huiman X. Barnhart, Marsha Wolfson, Kezhen L. Tang, William F. Owen, Jula K. Inrig, Uptal D. Patel and Robert M. Califf. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, Journal of the American Society of Nephrology, Seminars in Dialysis and American Journal of Kidney Diseases.

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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