D.A. Reaveley

2.5k citations
33 papers · 1.9k · h-index 22

Impact in

Papers in

D.A. Reaveley

33 papers receiving 1.8k citations

Peers

D.A. Reaveley
Comparison fields: 5 of 119
  • Nephrology 498
  • Endocrinology, Diabetes and Metabolism 368
  • Surgery 791
  • Cardiology and Cardiovascular Medicine 402
  • Transplantation 44
Replace P. Michielsen with:
P. Michielsen Belgium
Sing Hiem Yap Netherlands
Thomas Boyer United States
S B Rosalki United Kingdom
Autar K. Walli Germany
P Cartier France
Lijian Tao China
Sabine Schmaldienst Austria
Stéphanie Badiou France
A. Schmitz Denmark
D.A. Reaveley relative to P. Michielsen Belgium P. Michielsen's profile →
Citations per field
00.5×2.9×
P. Michielsen · 1×
Citations per year

Countries citing papers authored by D.A. Reaveley

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Reaveley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Reaveley. 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 D.A. Reaveley. The network helps show where D.A. Reaveley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990484
2 2002457
3 199381
4 198772
5 196969
6 199168
7 199364
8 197763
9 199453
10 197752
11 199546
12 199645
13 199337
14 199235
15 200233
16 199331
17 199630
18 197427
19 197226
20 199724

About D.A. Reaveley

D.A. Reaveley is a scholar working on Surgery, Molecular Biology, Nephrology, Genetics and Food Science, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Dialysis and Renal Disease Management (5 papers), Bacterial Genetics and Biotechnology (4 papers), Probiotics and Fermented Foods (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Bacteriophages and microbial interactions (3 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Peripheral Artery Disease Management (3 papers). The work is most often cited by research in Nephrology (498 citations), Endocrinology, Diabetes and Metabolism (368 citations), Surgery (791 citations), Cardiology and Cardiovascular Medicine (402 citations) and Transplantation (44 citations). D.A. Reaveley has collaborated with scholars based in United Kingdom, Tanzania and Austria. Frequent co-authors include Mary Seed, Eric Boerwinkle, Susan McCarthy, Gerd Utermann, Fritz Hoppichler, Gilbert R. Thompson, Darrell V. Pavitt, Edwina A. Brown, Francisco Leyva‐Leon and Mathias Rauchhaus. Their work appears in journals such as Nephrology Dialysis Transplantation, Atherosclerosis, Journal of Molecular Biology, Biochemical and Biophysical Research Communications and Clinical Science.

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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