T Mazzone

1.3k citations
31 papers · 1.2k · h-index 21

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 13
    • Lipoproteins and Cardiovascular Health 6
    • Peroxisome Proliferator-Activated Receptors 9

T Mazzone

30 papers receiving 1.1k citations

Peers

T Mazzone
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 295
  • Biochemistry 97
  • Cancer Research 228
  • Surgery 575
  • Immunology 274
Replace L Chan with:
L Chan United States
Chao-Yuh Yang United States
Fabienne Nigon France
Tom Björnheden Sweden
Dale Newland United States
Shozo Kobori Japan
Barbara Pfleger United States
Joseph C. Obunike United States
Kristin L. Gillotte United States
Joseph Juliano United States
T Mazzone relative to L Chan United States L Chan's profile →
Citations per field
00.5×1.7×
L Chan · 1×
Citations per year

Countries citing papers authored by T Mazzone

Since Specialization
Citations

This map shows the geographic impact of T Mazzone'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 T Mazzone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Mazzone more than expected).

Fields of papers citing papers by T Mazzone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T Mazzone. 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 T Mazzone. The network helps show where T Mazzone may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987132
2 1994120
3 198977
4 198373
5 198460
6 198955
7 198653
8 199252
9 198349
10 199248
11 199547
12 199037
13 199336
14 199534
15 198234
16 198733
17 198232
18 199730
19 199126
20 198921

About T Mazzone

T Mazzone is a scholar working on Surgery, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (6 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Antioxidant Activity and Oxidative Stress (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (295 citations), Biochemistry (97 citations), Cancer Research (228 citations), Surgery (575 citations) and Immunology (274 citations). T Mazzone has collaborated with scholars based in United States and Russia. Frequent co-authors include Khaja Basheeruddin, Catherine A. Reardon, Alan Chait, Godfrey S. Getz, Philip Diller, Lawrence J. Hirsch, Christopher K. Poulos, Honglang Duan, Zhan Li and Yvonne Lange. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Journal of Clinical Investigation, Diabetes Obesity and Metabolism and Diabetes.

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.

Explore authors with similar magnitude of impact