R O Scow
- Physiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Biochemistry top 1%
- Co-authors
- E. Joan Blanchette‐MackieS. S. ChernickMARY M. GARRISONPeter M. SpoonerLawrence C. SmithThomas OlivecronaDavid M. JablonsRichard P. Nordan
- Topics
- Adipose Tissue and Metabolism (9 papers)Diet and metabolism studies (8 papers)Lipid metabolism and disorders (8 papers)
- Partner nations
- United StatesPolandSweden
In The Last Decade
R O Scow
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Physiology 547
- Molecular Biology 508
- Endocrinology, Diabetes and Metabolism 457
- Cardiology and Cardiovascular Medicine 371
- Biochemistry 318
Countries citing papers authored by R O Scow
This map shows the geographic impact of R O Scow'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 R O Scow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R O Scow more than expected).
Fields of papers citing papers by R O Scow
This network shows the impact of papers produced by R O Scow. 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 R O Scow. The network helps show where R O Scow may publish in the future.
Co-authorship network of co-authors of R O Scow
This figure shows the co-authorship network connecting the top 25 collaborators of R O Scow. A scholar is included among the top collaborators of R O Scow 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 R O Scow. R O Scow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | Interleukin 6 reduces lipoprotein lipase activity in adipose tissue of mice in vivo and in 3T3-L1 adipocytes: a possible role for interleukin 6 in cancer cachexia. | 240 |
| 3 | 54 | |
| 4 | 78 | |
| 5 | 17 | |
| 6 | 45 | |
| 7 | 13 | |
| 8 | Effect of the combined lipase deficiency mutation (cld/cld) on ultrastructure of tissues in mice. Diaphragm, heart, brown adipose tissue, lung, and liver. | 18 |
| 9 | 5 | |
| 10 | Lipid filling and lipolysis in adipose tissue and cells. | 2 |
| 11 | 55 | |
| 12 | 62 | |
| 13 | Lipid transport between blood and tissue cells by lateral movement in a continuum of cell membranes | 7 |
| 14 | 91 | |
| 15 | 69 | |
| 16 | The microtubular-microfilamentous system of the pancreatic B-cell | 2 |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | 17 |
About R O Scow
R O Scow is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Diet and metabolism studies (8 papers) and Lipid metabolism and disorders (8 papers). The work is most often cited by research in Biochemistry (318 citations), Endocrinology, Diabetes and Metabolism (457 citations) and Physiology (547 citations). R O Scow has collaborated with scholars based in United States, Poland and Sweden. Frequent co-authors include E. Joan Blanchette‐Mackie, S. S. Chernick, MARY M. GARRISON, Peter M. Spooner, Lawrence C. Smith, Thomas Olivecrona, David M. Jablons, Richard P. Nordan, Juan Carlos Calvo and Joe McIntosh. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation 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.