Sybille Mazurek
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 5%
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- E. EigenbrodtWerner ZwerschkeF HugoC. B. BoschekPidder Jansen‐DürrMohammad Askandar IqbalR. BamezaiGopinath Prakasam
- Topics
- Cancer, Hypoxia, and Metabolism (23 papers)Metabolism, Diabetes, and Cancer (13 papers)Cancer-related Molecular Pathways (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
In The Last Decade
Sybille Mazurek
44 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.3k
- Cancer Research 1.8k
- Oncology 537
- Physiology 346
- Epidemiology 330
Countries citing papers authored by Sybille Mazurek
This map shows the geographic impact of Sybille Mazurek'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 Sybille Mazurek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sybille Mazurek more than expected).
Fields of papers citing papers by Sybille Mazurek
This network shows the impact of papers produced by Sybille Mazurek. 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 Sybille Mazurek. The network helps show where Sybille Mazurek may publish in the future.
Co-authorship network of co-authors of Sybille Mazurek
This figure shows the co-authorship network connecting the top 25 collaborators of Sybille Mazurek. A scholar is included among the top collaborators of Sybille Mazurek 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 Sybille Mazurek. Sybille Mazurek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | SK-Channel Activation Alters Peripheral Metabolic Pathways in Mice, but Not Lipopolysaccharide-Induced Fever or Inflammation | 3 |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 19 | |
| 7 | 124 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 154 | |
| 12 | 14 | |
| 13 | 34 | |
| 14 | 14 | |
| 15 | Pyruvate kinase type M2: A key regulator of the metabolic budget system in tumor cellsbreakdown → | 554 |
| 16 | 72 | |
| 17 | Pyruvate kinase type M2 and its role in tumor growth and spreadingbreakdown → | 670 |
| 18 | 33 | |
| 19 | 60 | |
| 20 | 41 |
About Sybille Mazurek
Sybille Mazurek is a scholar working on Cancer Research, Parasitology and Biochemistry, having authored 45 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (23 papers), Metabolism, Diabetes, and Cancer (13 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (2.3k citations) and Biochemistry (219 citations). Sybille Mazurek has collaborated with scholars based in Germany, Austria and India. Frequent co-authors include E. Eigenbrodt, Werner Zwerschke, F Hugo, C. B. Boschek, Pidder Jansen‐Dürr, Mohammad Askandar Iqbal, R. Bamezai, Gopinath Prakasam, Eveline Hütter and Paola Massimi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.