John Feehally

20.5k citations
203 papers · 7.9k indexed · 3 hit papers · h-index 49

John Feehally

196 papers receiving 7.7k citations

Hit Papers

Evaluating a New International Risk-Prediction Tool in Ig...281201620262019202250100150200250

Peers

John Feehally
Comparison fields: 5 of 141
  • Nephrology 5.5k
  • Transplantation 510
  • Hematology 1.3k
  • Pathology and Forensic Medicine 1.4k
  • Gastroenterology 386
Replace Jai Radhakrishnan with:
Jai Radhakrishnan United States
Lee A. Hebert United States
Anthony M. Valeri United States
Susan L. Hogan United States
C Chantler United Kingdom
Pierre Cochat France
Annalisa Perna Italy
Gere Sunder‐Plassmann Austria
Patrick S. Parfrey Canada
Mary Anne Dooley United States
John Feehally relative to Jai Radhakrishnan United States Jai Radhakrishnan's profile →
Citations per field
00.5×4.3×
Jai Radhakrishnan · 1×
Citations per year

Countries citing papers authored by John Feehally

Since Specialization
Citations

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

Fields of papers citing papers by John Feehally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202110
2 20202
3 2016216
4 201531
5 201478
6 2013136
7 20113
8 20100
9
UK ESRD prevalent rates in 2008: national and centre-specific analyses.
20109
10 200914
11 20071
12 200761
13 2000156
14 19987
15 199729
16 19929
17 19901
18
Systemic vasculitis in the 1980s--is there an increasing incidence of Wegener's granulomatosis and microscopic polyarteritis?
199081
19 19898
20 198418

About John Feehally

John Feehally is a scholar working on Nephrology, Transplantation and Gastroenterology, having authored 203 papers that have together received 7.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (90 papers), Chronic Kidney Disease and Diabetes (36 papers), Dialysis and Renal Disease Management (28 papers), Autoimmune Bullous Skin Diseases (24 papers), Renal Transplantation Outcomes and Treatments (23 papers), Platelet Disorders and Treatments (18 papers), Vasculitis and related conditions (17 papers) and Organ Donation and Transplantation (14 papers). The work is most often cited by research in Nephrology (5.5k citations), Transplantation (510 citations) and Hematology (1.3k citations). John Feehally has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jonathan Barratt, Alice C. Allen, John Walls, Steven J. Harper, Anthony C Smith, Jürgen Floege, Karen Molyneux, Alice C. Smith, Rosanna Coppo and Katharine Buck. Their work appears in journals such as Kidney International, Nephrology Dialysis Transplantation, Journal of the American Society of Nephrology, American Journal of Kidney Diseases and The Lancet.

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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