M A Austin

1.1k citations
5 papers · 875 indexed · 1 hit paper · h-index 4
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Nutrition, Genetics, and Disease (1 paper)Nuclear Materials and Properties (1 paper)
Journals
International Journal of Hydrogen EnergyArteriosclerosis and Thrombosis A Journal of Vascular BiologyPubMed

In The Last Decade

M A Austin

5 papers receiving 837 citations

Hit Papers

Plasma triglyceride and coronary heart disease.19912026200220141991100200300400500

Peers

M A Austin
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 536
  • Surgery 330
  • Cardiology and Cardiovascular Medicine 246
  • Epidemiology 161
  • Molecular Biology 98
Replace L.D. Dikkeschei with:
L.D. Dikkeschei Netherlands
Michael J. Blaha United States
J Coltart United Kingdom
Masaki Shinomiya Japan
R. Siekmeier Germany
Matthias Nauck Germany
Marcin Barylski Poland
LarsA. Carlson Sweden
S Saltissi United Kingdom
F Gemelli Italy
M A Austin relative to L.D. Dikkeschei Netherlands L.D. Dikkeschei's profile →
Citations per field
00.5×2.6×
L.D. Dikkeschei · 1×
Citations per year

Countries citing papers authored by M A Austin

Since Specialization
Citations

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

Fields of papers citing papers by M A Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M A Austin

This figure shows the co-authorship network connecting the top 25 collaborators of M A Austin. A scholar is included among the top collaborators of M A Austin 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 M A Austin. M A Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 77
2
Assessment of risk for type 2 diabetes mellitus in a Caribbean population with high diabetes-related morbidity.
3
3 145
4 76
5
Plasma triglyceride and coronary heart disease.breakdown →
574

About M A Austin

M A Austin is a scholar working on Metals and Alloys, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 5 papers that have together received 875 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Nutrition, Genetics, and Disease (1 paper) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (536 citations), Cardiology and Cardiovascular Medicine (246 citations) and Energy Engineering and Power Technology (33 citations). M A Austin has collaborated with scholars based in United States, Jamaica and United Kingdom. Frequent co-authors include E J Mayer, Beth Newman, Adam Wojcik, I. Eames, Ronald M. Krauss, Kimberley Edwards, Joseph V. Selby, R M Krauss, Karen L. Edwards and Joe V. Selby. Their work appears in journals such as International Journal of Hydrogen Energy, Arteriosclerosis and Thrombosis A Journal of Vascular Biology and PubMed.

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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