A. Rees

2.4k citations
35 papers · 2.0k · h-index 19

Impact in

Papers in

A. Rees

33 papers receiving 1.9k citations

Peers

A. Rees
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 808
  • Cardiology and Cardiovascular Medicine 673
  • Surgery 655
  • Cancer Research 211
  • Biochemistry 63
Replace O. Wiklund with:
O. Wiklund Sweden
D J Rader United States
JD Brunzell United States
Yuko Kako United States
Agnès Sassolas France
Toshimori Inaba Japan
T W de Bruin Netherlands
Mario Maioli Italy
Matthew R. Ban Canada
Bo Angelin Sweden
A. Rees relative to O. Wiklund Sweden O. Wiklund's profile →
Citations per field
00.5×1.5×2.0×
O. Wiklund · 1×
Citations per year

Countries citing papers authored by A. Rees

Since Specialization
Citations

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

Fields of papers citing papers by A. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992294
2 2001211
3 1983209
4 2000192
5 2003158
6 1985142
7 1994131
8 2000102
9 200272
10 198563
11 200557
12 198653
13 199441
14 200938
15 199938
16
A DNA polymorphism adjacent to the human apolipoprotein CII gene.
198330
17 198423
18 198622
19 198520
20 199017

About A. Rees

A. Rees is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Cancer Research, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (12 papers), Lipid metabolism and disorders (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (808 citations), Cardiology and Cardiovascular Medicine (673 citations), Surgery (655 citations), Cancer Research (211 citations) and Biochemistry (63 citations). A. Rees has collaborated with scholars based in United Kingdom, Australia and Singapore. Frequent co-authors include J. Stocks, D. J. Galton, Francisco E. Baralle, Carol C. Shoulders, Keith Morris, Michael Frenneaux, Richard A. Anderson, Malcolm Lewis, Simon K. Jackson and Marc Evans. Their work appears in journals such as Human Genetics, Clinical Science, European Journal of Endocrinology, Transplant International and Atherosclerosis.

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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