Sabine Novak
- Molecular Biology top 10%
- Biochemistry top 0.2%
- Surgery top 5%
- Physiology top 10%
- Cancer Research top 10%
- Co-authors
- Robert V. FareseSandra K. EricksonSylvaine CasesCarrie B. WelchAldons J. LusisHeather MyersEric SandeSteven R. Lear
- Topics
- Cholesterol and Lipid Metabolism (4 papers)Cancer, Lipids, and Metabolism (3 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers)
- Cited by
- BiochemistrySurgeryCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Sabine Novak
13 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.1k
- Biochemistry 937
- Surgery 813
- Physiology 307
- Cancer Research 257
Countries citing papers authored by Sabine Novak
This map shows the geographic impact of Sabine Novak'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 Sabine Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Novak more than expected).
Fields of papers citing papers by Sabine Novak
This network shows the impact of papers produced by Sabine Novak. 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 Sabine Novak. The network helps show where Sabine Novak may publish in the future.
Co-authorship network of co-authors of Sabine Novak
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Novak. A scholar is included among the top collaborators of Sabine Novak 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 Sabine Novak. Sabine Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | CDK10 is not a target for aberrant DNA methylation in breast cancer. | 12 |
| 4 | 78 | |
| 5 | 49 | |
| 6 | 299 | |
| 7 | 348 | |
| 8 | 69 | |
| 9 | Identification of a gene encoding an acyl CoA:diacylglycerol acyltransferase, a key enzyme in triacylglycerol synthesisbreakdown → | 896 |
| 10 | 48 | |
| 11 | 59 | |
| 12 | 94 | |
| 13 | 3 | |
| 14 | 46 |
About Sabine Novak
Sabine Novak is a scholar working on Biochemistry, Cancer Research and Virology, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Biochemistry (937 citations), Surgery (813 citations) and Cancer Research (257 citations). Sabine Novak has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Robert V. Farese, Sandra K. Erickson, Sylvaine Cases, Carrie B. Welch, Aldons J. Lusis, Heather Myers, Eric Sande, Steven R. Lear, Colin C. Collins and Steven J. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.