Stephen J. Demosky

2.1k citations
37 papers · 1.7k indexed · h-index 22
Topics
Cholesterol and Lipid Metabolism (20 papers)Lipoproteins and Cardiovascular Health (13 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)

In The Last Decade

Stephen J. Demosky

37 papers receiving 1.7k citations

Peers

Stephen J. Demosky
Comparison fields: 5 of 98
  • Surgery 1.0k
  • Molecular Biology 723
  • Endocrinology, Diabetes and Metabolism 452
  • Oncology 371
  • Cancer Research 330
Replace Ginny Kellner-Weibel with:
Ginny Kellner-Weibel United States
Margarita de la Llera Moya United States
Ilia V. Fuki United States
Lori Royer United States
Carmel M. Quinn Australia
Larbi Krimbou Canada
Maryanne L. Brown United States
J. Kar Kruijt Netherlands
Maxime Denis Canada
Mollie Ranalletta United States
Stephen J. Demosky relative to Ginny Kellner-Weibel United States Ginny Kellner-Weibel's profile →
Citations per field
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Ginny Kellner-Weibel · 1×
Citations per year

Countries citing papers authored by Stephen J. Demosky

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Demosky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Demosky. 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 Stephen J. Demosky. The network helps show where Stephen J. Demosky may publish in the future.

Co-authorship network of co-authors of Stephen J. Demosky

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Demosky. A scholar is included among the top collaborators of Stephen J. Demosky 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 Stephen J. Demosky. Stephen J. Demosky 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 31
2 69
3 35
4 6
5 37
6 5
7 51
8 89
9 33
10 159
11 6
12 275
13 21
14 13
15 10
16 3
17 46
18 24
19 15
20 24

About Stephen J. Demosky

Stephen J. Demosky is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Lipoproteins and Cardiovascular Health (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (452 citations), Surgery (1.0k citations) and Cancer Research (330 citations). Stephen J. Demosky has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include H. Bryan Brewer, Alan T. Remaley, Silvia Santamarina-Fojo, John A. Stonik, H Bryan Brewer, Jeffrey M. Hoeg, J M Hoeg, Edward B. Neufeld, Boris Vaisman and Joan Blanchette‐Mackie. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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