R A Hegele

1.2k citations
26 papers · 824 indexed · h-index 12
Topics
Lipoproteins and Cardiovascular Health (9 papers)Lipid metabolism and disorders (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)

In The Last Decade

R A Hegele

25 papers receiving 792 citations

Peers

R A Hegele
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 322
  • Endocrinology, Diabetes and Metabolism 317
  • Surgery 306
  • Molecular Biology 159
  • Epidemiology 142
Replace Karen O. Badellino with:
Karen O. Badellino United States
Isabel Beucler France
William A. Wilmer United States
Elena Burillo Spain
Bedia Ağaçhan Türkiye
Steve Martin Canada
Isabella Catalano Italy
Bryan R. Conway United Kingdom
Verónica Miksztowicz Argentina
Ursula Kassner Germany
R A Hegele relative to Karen O. Badellino United States Karen O. Badellino's profile →
Citations per field
00.5×2.6×
Karen O. Badellino · 1×
Citations per year

Countries citing papers authored by R A Hegele

Since Specialization
Citations

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

Fields of papers citing papers by R A Hegele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R A Hegele

This figure shows the co-authorship network connecting the top 25 collaborators of R A Hegele. A scholar is included among the top collaborators of R A Hegele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R A Hegele. R A Hegele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 15
3 19
4 407
5 10
6 20
7 80
8 5
9 5
10 5
11 11
12 10
13 23
14 20
15 41
16 22
17 44
18
Coffee, lipids and atherosclerosis.
1
19
Hyperlipidemia in pregnancy.
6
20 2

About R A Hegele

R A Hegele is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 26 papers that have together received 824 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Lipid metabolism and disorders (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (317 citations), Cardiology and Cardiovascular Medicine (322 citations) and Surgery (306 citations). R A Hegele has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include George Xianzhi Yuan, Khalid Z. Alshali, H. Cao, Philip W. Connelly, Camilla Vézina, Graham F. Maguire, A. Kuksis, Suzanne Lussier‐Cacan, Piya Lahiry and Jean Davignon. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

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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