M. Schauer
Impact in
-
- HIV Research and Treatment
-
- Estrogen and related hormone effects
Papers in
- Surgery 3
- Adrenal and Paraganglionic Tumors 2
- Pancreatic function and diabetes 1
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- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Miguel Beato (1 shared paper)Georges Chalepakis (1 shared paper)S. Rapoport (2 shared papers)R. Heinrich (3 shared papers)Brigitte Rosenwirth (1 shared paper)Andreas Billich (1 shared paper)Cristina L. Ronchi (1 shared paper)Sabine Herterich (1 shared paper)
- Journals
- Antiviral chemistry & chemotherapy (1 paper)Frontiers in Endocrinology (1 paper)Molecular and Cellular Endocrinology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PubMed (3 papers)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
M. Schauer
6 papers receiving 117 citations
Peers
Comparison fields: 5 of 40
- Virology 20
- Genetics 56
- Toxicology 5
- Infectious Diseases 25
- Molecular Biology 84
Countries citing papers authored by M. Schauer
This map shows the geographic impact of M. Schauer'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 M. Schauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Schauer more than expected).
Fields of papers citing papers by M. Schauer
This network shows the impact of papers produced by M. Schauer. 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 M. Schauer. The network helps show where M. Schauer may publish in the future.
Co-authors
The 20 scholars most cited alongside M. Schauer, 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 | 1989 | 71 | |
| 2 | 1992 | 27 | |
| 3 | [Mathematical modelling of glycolysis and adenine nucleotide metabolism of human erythrocytes. I. Reaction-kinetic statements, analysis of in vivo state and determination of starting conditions for in vitro experiments]. | 1981 | 16 |
| 4 | [Mathematical modelling of glycolysis and of adenine nucleotide metabolism of human erythrocytes. II. Simulation of adenine nucleotide breakdown following glucose depletion]. | 1981 | 4 |
| 5 | 2024 | 2 | |
| 6 | The effect of pyruvate on glycolysis and the maintenance of adenine nucleotides in red cells. | 1981 | 1 |
| 7 | 2025 | 0 |
About M. Schauer
M. Schauer is a scholar working on Surgery, Physiology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 121 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Pancreatic function and diabetes (1 paper), DNA and Nucleic Acid Chemistry (1 paper), HIV Research and Treatment (1 paper), Estrogen and related hormone effects (1 paper) and Chemical Reactions and Isotopes (1 paper). The work is most often cited by research in Virology (20 citations), Genetics (56 citations), Toxicology (5 citations), Infectious Diseases (25 citations) and Molecular Biology (84 citations). M. Schauer has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Miguel Beato, Georges Chalepakis, S. Rapoport, R. Heinrich, Brigitte Rosenwirth, Andreas Billich, Cristina L. Ronchi, Sabine Herterich, Sascha Sauer and Matthias Kroiß. Their work appears in journals such as Antiviral chemistry & chemotherapy, Frontiers in Endocrinology, Molecular and Cellular Endocrinology, Proceedings of the National Academy of Sciences and PubMed.
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.