S. Murano

14 papers receiving 342 citations

Peers

S. Murano
Comparison fields: 5 of 66
  • Aging 26
  • Physiology 151
  • Molecular Biology 199
  • Cancer Research 30
  • Cell Biology 34
Replace Mutsumi Koyama with:
Mutsumi Koyama Japan
Faye Haldane United Kingdom
Wenlong Bai United States
Maiken Lise Marcker Espersen Denmark
Sophie Carter Canada
Phyllis Ann Shaw United States
Hongbo Ling United States
Maneet Singh United States
Nerea Deleyto-Seldas Spain
Bo Deng China
S. Murano relative to Mutsumi Koyama Japan Mutsumi Koyama's profile →
Citations per field
00.5×2×3×4.3×
Mutsumi Koyama · 1×
Citations per year

Countries citing papers authored by S. Murano

Since Specialization
Citations

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

Fields of papers citing papers by S. Murano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1991178
2 200037
3 200129
4 199028
5 198923
6 198222
7
Effects of tocopherol deficiency on lipid metabolism in the arterial wall of rats on normal and high cholesterol diets.
198013
8
Impaired intermediate-density lipoprotein triglyceride hydrolysis in familial lecithin:cholesterol acyltransferase (LCAT) deficiency.
198713
9
Effect of clinofibrate on lipid metabolism of aorta in atherosclerotic rats.
19834
10 19982
11 19872
12 19972
13
[Ultrasonic diagnosis of visceral type obesity].
19951
14 19831
15
[Lipoproteins and arteriosclerosis].
19800

About S. Murano

S. Murano is a scholar working on Cancer Research, Nutrition and Dietetics, Biochemistry, Endocrinology, Diabetes and Metabolism and Surgery, having authored 15 papers that have together received 355 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipoproteins and Cardiovascular Health (2 papers), DNA Repair Mechanisms (2 papers), Cardiovascular Disease and Adiposity (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Aging (26 citations), Physiology (151 citations), Molecular Biology (199 citations), Cancer Research (30 citations) and Cell Biology (34 citations). S. Murano has collaborated with scholars based in Japan and United States. Frequent co-authors include Robert J. Shmookler Reis, Richard A. Jones, Samuel Goldstein, Ray Thweatt, Elena J. Moerman, Yoshiro Saito, Naho Morisaki, Hiroshi Murayama, Shiro Watanabe and Ryoko Suzuki. Their work appears in journals such as International Journal of Obesity, Molecular and Cellular Biology, Neuropharmacology, Experimental Gerontology and Scandinavian Journal of Clinical and Laboratory Investigation.

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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