Christian Wagner
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Computational Mechanics top 0.5%
- Biomedical Engineering top 2%
- Fluid Flow and Transfer Processes top 0.5%
- Co-authors
- Lars KaestnerJens EggersPatrick R. SteffenPing ZhaoDaniel BonnPaulo E. ArratiaLichao PanK. Knorr
- Topics
- Blood properties and coagulation (52 papers)Erythrocyte Function and Pathophysiology (49 papers)Rheology and Fluid Dynamics Studies (27 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- GermanyLuxembourgFrance
In The Last Decade
Christian Wagner
175 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 179
- Pulmonary and Respiratory Medicine 1.3k
- Molecular Biology 1.2k
- Computational Mechanics 1.2k
- Biomedical Engineering 1.1k
- Fluid Flow and Transfer Processes 998
Countries citing papers authored by Christian Wagner
This map shows the geographic impact of Christian Wagner'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 Christian Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Wagner more than expected).
Fields of papers citing papers by Christian Wagner
This network shows the impact of papers produced by Christian Wagner. 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 Christian Wagner. The network helps show where Christian Wagner may publish in the future.
Co-authorship network of co-authors of Christian Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Wagner. A scholar is included among the top collaborators of Christian Wagner 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 Christian Wagner. Christian Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 6 | |
| 10 | 57 | |
| 11 | 29 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 241 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 55 | |
| 18 | 86 | |
| 19 | 2 | |
| 20 | 274 |
About Christian Wagner
Christian Wagner is a scholar working on Fluid Flow and Transfer Processes, Pharmaceutical Science and Physiology, having authored 189 papers that have together received 6.4k indexed citations. Recurring topics across this work include Blood properties and coagulation (52 papers), Erythrocyte Function and Pathophysiology (49 papers) and Rheology and Fluid Dynamics Studies (27 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (998 citations), Pharmaceutical Science (691 citations) and Computational Mechanics (1.2k citations). Christian Wagner has collaborated with scholars based in Germany, Luxembourg and France. Frequent co-authors include Lars Kaestner, Jens Eggers, Patrick R. Steffen, Ping Zhao, Daniel Bonn, Paulo E. Arratia, Lichao Pan, K. Knorr, H. W. Müller and Vikram Sinha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.