Steffen Schaper
Impact in
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- Evolution and Genetic Dynamics
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- Computational Drug Discovery Methods
Papers in
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- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Genetics 4
- Evolution and Genetic Dynamics 4
- Co-authors
- Ard A. Louis (5 shared papers)Kamaludin Dingle (1 shared paper)Sam F. Greenbury (1 shared paper)Sebastian E. Ahnert (1 shared paper)Iain G. Johnston (1 shared paper)Jessica Hey (1 shared paper)Andreas H. Göller (1 shared paper)Alexander Hillisch (1 shared paper)
- Journals
- Liver International (1 paper)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)Molecular Biology and Evolution (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomPoland
In The Last Decade
Steffen Schaper
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 75
- Genetics 115
- Computational Theory and Mathematics 62
- Pharmacology 23
- Molecular Biology 170
- Hepatology 12
Countries citing papers authored by Steffen Schaper
This map shows the geographic impact of Steffen Schaper'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 Steffen Schaper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Schaper more than expected).
Fields of papers citing papers by Steffen Schaper
This network shows the impact of papers produced by Steffen Schaper. 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 Steffen Schaper. The network helps show where Steffen Schaper may publish in the future.
Co-authors
The 25 scholars most cited alongside Steffen Schaper, 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 | 2019 | 65 | |
| 2 | 2014 | 59 | |
| 3 | 2016 | 50 | |
| 4 | 2015 | 43 | |
| 5 | 2011 | 28 | |
| 6 | 2018 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Steffen Schaper
Steffen Schaper is a scholar working on Molecular Biology, Genetics, Control and Systems Engineering, Epidemiology and Health Information Management, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Evolution and Genetic Dynamics (4 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Liver Disease and Transplantation (1 paper), Time Series Analysis and Forecasting (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Genetics (115 citations), Computational Theory and Mathematics (62 citations), Pharmacology (23 citations), Molecular Biology (170 citations) and Hepatology (12 citations). Steffen Schaper has collaborated with scholars based in Germany, United Kingdom and Poland. Frequent co-authors include Ard A. Louis, Kamaludin Dingle, Sam F. Greenbury, Sebastian E. Ahnert, Iain G. Johnston, Jessica Hey, Andreas H. Göller, Alexander Hillisch, Sergio Grimbs and Stephan Menz. Their work appears in journals such as Liver International, Scientific Reports, PLoS Computational Biology, Molecular Biology and Evolution and Proceedings of the Royal Society B Biological Sciences.
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.