Melissa A. Austin

2.2k citations
10 papers · 1.9k indexed · 1 hit paper · h-index 10

Melissa A. Austin

10 papers receiving 1.8k citations

Hit Papers

Low-Density Lipoprotein Subclass Patterns and Risk of Myo...1.5k19882026200020134008001.2k

Peers

Melissa A. Austin
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Biochemistry 140
  • Surgery 984
  • Cancer Research 302
  • Cardiology and Cardiovascular Medicine 432
Replace C.J. Packard with:
C.J. Packard United Kingdom
J J Albers United States
Hans Jansen Netherlands
D. Owens Ireland
Takamitsu Nakano Japan
Dorothy Bedford United Kingdom
R M Krauss United States
A.H.M. Smelt Netherlands
C.J. Packard United Kingdom
O. Wiklund Sweden
Melissa A. Austin relative to C.J. Packard United Kingdom C.J. Packard's profile →
Citations per field
00.5×1.6×
C.J. Packard · 1×
Citations per year

Countries citing papers authored by Melissa A. Austin

Since Specialization
Citations

This map shows the geographic impact of Melissa 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 Melissa 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 Melissa A. Austin more than expected).

Fields of papers citing papers by Melissa A. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Melissa A. Austin, 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 Melissa A. Austin Line = papers co-authored together Melissa A. Austin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199911
2 199863
3 199738
4 199743
5 199610
6 199538
7 199463
8 199361
9 199256
10
Low-Density Lipoprotein Subclass Patterns and Risk of Myocardial Infarctionbreakdown →
19881487

About Melissa A. Austin

Melissa A. Austin is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics, Endocrine and Autonomic Systems and Surgery, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Genetic Associations and Epidemiology (5 papers), Cancer, Lipids, and Metabolism (3 papers), Obesity, Physical Activity, Diet (2 papers), Lipid metabolism and disorders (1 paper), Smoking Behavior and Cessation (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Biochemistry (140 citations), Surgery (984 citations), Cancer Research (302 citations) and Cardiology and Cardiovascular Medicine (432 citations). Melissa A. Austin has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Karen L. Edwards, John E. Hokanson, Yechiel Friedlander, Mary‐Claire King, Beth Newman, Gail P. Jarvik, Heidi Horowitz, Ellen M. Wijsman, Ronald M. Krauss and John D. Brunzell. Their work appears in journals such as The American Journal of Human Genetics, Atherosclerosis, JAMA, Medical Clinics of North America and Clinical Genetics.

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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