A. Rees

2.3k citations
34 papers · 2k · h-index 19

Impact in

Papers in

A. Rees

31 papers receiving 1.9k citations

Peers

A. Rees
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 794
  • Endocrinology, Diabetes and Metabolism 372
  • Surgery 740
  • Clinical Biochemistry 58
  • Genetics 344
Replace T Kuusi with:
T Kuusi Finland
J J Albers United States
Osamu Hirashima Japan
Dorothy K. Bedford United Kingdom
Hans Jansen Netherlands
M. Oleggini Italy
Y. Akanuma Japan
Agnès Sassolas France
Riadh Jemaa Tunisia
Yoh Miyashita Japan
A. Rees relative to T Kuusi Finland T Kuusi's profile →
Citations per field
00.5×1.5×2.1×
T Kuusi · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992314
2 2001213
3 1983212
4 2000191
5 2003162
6 1985144
7 1994133
8 2000102
9 200274
10 198561
11 200555
12 198654
13 199443
14 200938
15 199935
16
A DNA polymorphism adjacent to the human apolipoprotein CII gene.
198330
17 198623
18 198422
19 198521
20 199017

About A. Rees

A. Rees is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Genetics, having authored 34 papers that have together received 2k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (13 papers), Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Genetic Associations and Epidemiology (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (794 citations), Endocrinology, Diabetes and Metabolism (372 citations), Surgery (740 citations), Clinical Biochemistry (58 citations) and Genetics (344 citations). A. Rees has collaborated with scholars based in United Kingdom, Canada and Switzerland. Frequent co-authors include D. J. Galton, J. Stocks, Francisco Ernesto Baralle, Michael Paul Frenneaux, Simon K. Jackson, Carol C. Shoulders, R Stuart Anderson, Keith Morris, Malcolm J. LEWIS and Marc Evans. Their work appears in journals such as Human Genetics, The Lancet, European Journal of Endocrinology, Clinical Science 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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