MacRae F. Linton

21.3k citations
231 papers · 15.8k indexed · 4 hit papers · h-index 65
Topics
Lipoproteins and Cardiovascular Health (51 papers)Peroxisome Proliferator-Activated Receptors (48 papers)Atherosclerosis and Cardiovascular Diseases (46 papers)
Partner nations
United StatesJapanChina

In The Last Decade

MacRae F. Linton

224 papers receiving 15.5k citations

Hit Papers

Current Perspectives on Statins200020262008201720002003200720012505007501000

Peers

MacRae F. Linton
Comparison fields: 5 of 147
  • Molecular Biology 5.5k
  • Surgery 5.5k
  • Immunology 4.4k
  • Epidemiology 2.8k
  • Endocrinology, Diabetes and Metabolism 2.4k
Replace Muredach P. Reilly with:
Muredach P. Reilly United States
Alan Daugherty United States
Srinivasa T. Reddy United States
Linda K. Curtiss United States
Shun Ishibashi Japan
Jorge Plutzky United States
Anton F. H. Stalenhoef Netherlands
Rama Natarajan United States
Olov Wiklund Sweden
John P. Kane United States
MacRae F. Linton relative to Muredach P. Reilly United States Muredach P. Reilly's profile →
Citations per field
00.5×1.5×1.8×
Muredach P. Reilly · 1×
Citations per year

Countries citing papers authored by MacRae F. Linton

Since Specialization
Citations

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

Fields of papers citing papers by MacRae F. Linton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MacRae F. Linton. 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 MacRae F. Linton. The network helps show where MacRae F. Linton may publish in the future.

Co-authorship network of co-authors of MacRae F. Linton

This figure shows the co-authorship network connecting the top 25 collaborators of MacRae F. Linton. A scholar is included among the top collaborators of MacRae F. Linton 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 MacRae F. Linton. MacRae F. Linton 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 0
2 4
3 0
4 8
5 22
6 5
7 7
8 10
9 10
10 60
11 24
12 49
13 1
14 173
15 34
16 67
17 91
18 196
19 163
20 201

About MacRae F. Linton

MacRae F. Linton is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 231 papers that have together received 15.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (51 papers), Peroxisome Proliferator-Activated Receptors (48 papers) and Atherosclerosis and Cardiovascular Diseases (46 papers). The work is most often cited by research in Immunology (4.4k citations), Endocrinology, Diabetes and Metabolism (2.4k citations) and Cancer Research (2.1k citations). MacRae F. Linton has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Sergio Fazio, Vladimir R. Babaev, Patricia G. Yancey, David J. Maron, Amy S. Major, Sergio Fazio, James B. Atkinson, Linda A. Gleaves, Gökhan S. Hotamışlıgil and Stephen G. Young. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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