Sybille Mazurek
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 23
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 13
- Mitochondrial Function and Pathology 3
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism 4
- Aging top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 5
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- Parasitic Infections and Diagnostics 5
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- Diet and metabolism studies 3
- Adenosine and Purinergic Signaling 3
- Co-authors
- E. EigenbrodtWerner ZwerschkeF HugoC. B. BoschekPidder Jansen‐DürrMohammad Askandar IqbalR. BamezaiGopinath Prakasam
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Sybille Mazurek
44 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 1.8k
- Molecular Biology 2.3k
- Biochemistry 219
- Aging 45
- Oncology 537
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
The 25 scholars most cited alongside Sybille Mazurek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | SK-Channel Activation Alters Peripheral Metabolic Pathways in Mice, but Not Lipopolysaccharide-Induced Fever or Inflammation | 2022 | 3 |
| 4 | 2020 | 5 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 124 | |
| 8 | 2019 | 21 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 32 | |
| 11 | 2014 | 154 | |
| 12 | 2014 | 14 | |
| 13 | 2012 | 34 | |
| 14 | 2010 | 14 | |
| 15 | Pyruvate kinase type M2: A key regulator of the metabolic budget system in tumor cellsbreakdown → | 2010 | 554 |
| 16 | 2008 | 72 | |
| 17 | Pyruvate kinase type M2 and its role in tumor growth and spreadingbreakdown → | 2005 | 670 |
| 18 | 2003 | 33 | |
| 19 | 1999 | 60 | |
| 20 | 1992 | 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), Cancer-related Molecular Pathways (5 papers), Parasitic Infections and Diagnostics (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers), Diet and metabolism studies (3 papers) and Adenosine and Purinergic Signaling (3 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.