Olga Stein

61 papers receiving 2.6k citations

Olga Stein's Hit Papers

Lipoprotein Uptake and Metabolism by Rat Aortic Smooth Muscle Cells in Tissue Culture 1974 · 436 citations
4360+17+34Years since publication100200300400

Peers

Olga Stein
Comparison fields: 5 of 123
  • Biochemistry 508
  • Endocrinology, Diabetes and Metabolism 549
  • Nutrition and Dietetics 493
  • Clinical Biochemistry 211
  • Biochemistry 166
Replace J R Faust with:
J R Faust United States
Jane M. Glick United States
Richard W. St. Clair United States
Nassrin Dashti United States
A.A. Kandutsch United States
Noel Fidge Australia
L L Rudel United States
Shlomo Eisenberg Israel
Gregorio Gil United States
Gertrud Wolfbauer United States
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Citations per field
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Citations per year

Countries citing papers authored by Olga Stein

Since Specialization
Citations

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

Fields of papers citing papers by Olga Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lipoprotein Uptake and Metabolism by Rat Aortic Smooth Muscle Cells in Tissue Culture
Hit paper breakdown →
1974436
2 1999254
3 1967234
4 1967154
5 1968140
6 1976119
7 1967103
8 196896
9 196992
10 196992
11 196890
12 196372
13 197570
14 197765
15 197764
16 196259
17 196154
18 196348
19 198741
20 200238

About Olga Stein

Olga Stein is a scholar working on Molecular Biology, Surgery, Biochemistry, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (15 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Lipid metabolism and biosynthesis (10 papers), Fatty Acid Research and Health (9 papers), Cancer, Lipids, and Metabolism (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Biochemistry (508 citations), Endocrinology, Diabetes and Metabolism (549 citations), Nutrition and Dietetics (493 citations), Clinical Biochemistry (211 citations) and Biochemistry (166 citations). Olga Stein has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yechezkiel Stein, Edwin L. Bierman, Robert O. Scow, Shlomo Rottem, Sergey V. Razin, DeWitt S. Goodman, Christopher C. Widnell, G. Halperin, Tova Chajek and B. Shapiro. Their work appears in journals such as Atherosclerosis, The Journal of Cell Biology, Biochemical and Biophysical Research Communications, Nutrition Metabolism and Cardiovascular Diseases and Arteriosclerosis Thrombosis and Vascular Biology.

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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