Y. Stein

10.8k citations
223 papers · 9.0k · h-index 52

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 59
    • Lipoproteins and Cardiovascular Health 29
    • Peroxisome Proliferator-Activated Receptors 19

Y. Stein

220 papers receiving 8.1k citations

Peers

Y. Stein
Comparison fields: 5 of 157
  • Biochemistry 1.3k
  • Endocrinology, Diabetes and Metabolism 2.4k
  • Biochemistry 750
  • Nutrition and Dietetics 1.5k
  • Cancer Research 1.3k
Replace Henry J. Pownall with:
Henry J. Pownall United States
Howard A. Eder United States
John A. Glomset United States
D.B. Zilversmit United States
S Eisenberg Israel
Kaare R. Norum Norway
Gustav Schonfeld United States
J J Albers United States
Joel D. Morrisett United States
Godfrey S. Getz United States
Y. Stein relative to Henry J. Pownall United States Henry J. Pownall's profile →
Citations per field
00.5×1.5×
Henry J. Pownall · 1×
Citations per year

Countries citing papers authored by Y. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Y. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991306
2
Carbohydrate-induced and fat-induced lipemia.
1961284
3 1988255
4 1975236
5 1986207
6 1980202
7 1974201
8 1959190
9 1990182
10 1976176
11 1989174
12 1983166
13 1966147
14 1973136
15 1968135
16 1973132
17 1991125
18 1975117
19 1971113
20 1992111

About Y. Stein

Y. Stein is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biochemistry and Physiology, having authored 223 papers that have together received 9.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (59 papers), Lipid metabolism and biosynthesis (47 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Fatty Acid Research and Health (37 papers), Cancer, Lipids, and Metabolism (31 papers), Lipoproteins and Cardiovascular Health (29 papers), Peroxisome Proliferator-Activated Receptors (19 papers) and Liver Disease Diagnosis and Treatment (19 papers). The work is most often cited by research in Biochemistry (1.3k citations), Endocrinology, Diabetes and Metabolism (2.4k citations), Biochemistry (750 citations), Nutrition and Dietetics (1.5k citations) and Cancer Research (1.3k citations). Y. Stein has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Oliver Stein, S Eisenberg, G. Halperin, B. Shapiro, Yechiel Friedlander, Y. Dabach, G. Hollander, G. Friedman, H. Bar‐On and Tova Chajek‐Shaul. Their work appears in journals such as Atherosclerosis, American Journal of Clinical Nutrition, Journal of Lipid Research, FEBS Letters and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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