Peter Avery

97 papers receiving 3.8k citations

Peter Avery's Hit Papers

A Randomized Trial of Genotype-Guided Dosing of Warfarin 2013 · 597 citations
5970+7+14Years since publication200400600

Peers

Peter Avery
Comparison fields: 5 of 157
  • Pharmacology 1.1k
  • Internal Medicine 137
  • Small Animals 213
  • Cardiology and Cardiovascular Medicine 585
  • Endocrinology, Diabetes and Metabolism 440
Replace Joseph W. Goldzieher with:
Joseph W. Goldzieher United States
Christian Gieger Germany
Eric R. Gamazon United States
Gualberto Ruaño United States
Judy K. Shigenaga United States
Hemant K. Tiwari United States
Patrick Waller United Kingdom
Carl M. Mendel United States
R Horton United States
Giovanni Tarantino Italy
Peter Avery relative to Joseph W. Goldzieher United States Joseph W. Goldzieher's profile →
Citations per field
00.5×8.2×
Joseph W. Goldzieher · 1×
Citations per year

Countries citing papers authored by Peter Avery

Since Specialization
Citations

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

Fields of papers citing papers by Peter Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The impact of CYP2C9 and VKORC1 genetic polymorphism and patient characteristics upon warfarin dose requirements: proposal for a new dosing regimen
Hit paper breakdown →
2005689
2
A Randomized Trial of Genotype-Guided Dosing of Warfarin
Hit paper breakdown →
2013597
3 2003211
4 2006135
5 2004132
6 2012115
7 199899
8 200493
9 201289
10 201183
11 200481
12 201278
13 201162
14 200556
15 201255
16 200849
17 199749
18 200648
19 198048
20 201446

About Peter Avery

Peter Avery is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Hormonal Regulation and Hypertension (9 papers), Atrial Fibrillation Management and Outcomes (9 papers), Total Knee Arthroplasty Outcomes (7 papers), Orthopaedic implants and arthroplasty (5 papers), Diabetes and associated disorders (4 papers), Vitamin K Research Studies (4 papers) and Thermoregulation and physiological responses (4 papers). The work is most often cited by research in Pharmacology (1.1k citations), Internal Medicine (137 citations), Small Animals (213 citations), Cardiology and Cardiovascular Medicine (585 citations) and Endocrinology, Diabetes and Metabolism (440 citations). Peter Avery has collaborated with scholars based in United Kingdom, South Africa and Netherlands. Frequent co-authors include Farhad Kamali, Hilary Wynne, Patrick Kesteven, Ann K. Daly, Tayyaba Khan, Elizabeth Sconce, Peter Wood, Barry P. King, J. H. Brackenbury and David J. Deehan. Their work appears in journals such as British Journal of Haematology, Diabetologia, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of Experimental Biology and Blood.

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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