Michael D. Curry

1.3k citations
20 papers · 1.2k · h-index 11

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 5
    • Cholesterol and Lipid Metabolism 4
    • Machine Learning in Bioinformatics 3

Michael D. Curry

19 papers receiving 1.1k citations

Peers

Michael D. Curry
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 666
  • Cancer Research 319
  • Surgery 586
  • Cardiology and Cardiovascular Medicine 263
  • Biochemistry 78
Replace J B Karlin with:
J B Karlin United States
J C Gibson United States
A Rubinstein Israel
Pascal Puchois France
Taku Yamamura Japan
M. Poapst Canada
B Angelin Sweden
J. L. de Gennes France
Koji Oida Japan
Terry Langer United States
Michael D. Curry relative to J B Karlin United States J B Karlin's profile →
Citations per field
00.5×
J B Karlin · 1×
Citations per year

Countries citing papers authored by Michael D. Curry

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Curry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Curry. 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 Michael D. Curry. The network helps show where Michael D. Curry may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1976262
2 1978159
3 1981155
4 1976149
5 1980132
6 198168
7 197765
8 197955
9 197333
10 200626
11 197412
12 20149
13 19839
14
Apolipoproteins and lipoprotein families in familial lecithin: cholesterol acyltransferase deficiency.
19749
15 20158
16 20227
17 19747
18 19746
19 19865
20 20110

About Michael D. Curry

Michael D. Curry is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Management Science and Operations Research, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cholesterol and Lipid Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Machine Learning in Bioinformatics (3 papers), Systems Engineering Methodologies and Applications (2 papers), Complex Systems and Decision Making (2 papers) and Agricultural risk and resilience (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (666 citations), Cancer Research (319 citations), Surgery (586 citations), Cardiology and Cardiovascular Medicine (263 citations) and Biochemistry (78 citations). Michael D. Curry has collaborated with scholars based in United States, Norway and Sweden. Frequent co-authors include Petar Alaupovic, Walter J. McConathy, C. A. Suenram, W.J. McConathy, J.D. Fesmire, A. Gustafson, M Popovic, Eliot Schechter, Paul Anderson and Elisa T. Lee. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, American Water Works Association, Ground Water and Journal of Guidance Control and Dynamics.

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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