Stefan Schröder
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Surgery
- Emergency Medicine top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Martin J. LohseHermann WriggeTilman von SpiegelChristian PutensenRudolf HeringJörg ZinserlingAndreas HoeftPetra Bauer
- Topics
- Protein Kinase Regulation and GTPase Signaling (4 papers)Receptor Mechanisms and Signaling (4 papers)Ion channel regulation and function (3 papers)
- Cited by
- Emergency MedicineCritical Care and Intensive Care MedicinePulmonary and Respiratory Medicine
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Stefan Schröder
18 papers receiving 441 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 211
- Pulmonary and Respiratory Medicine 148
- Surgery 99
- Emergency Medicine 62
- Cellular and Molecular Neuroscience 59
Countries citing papers authored by Stefan Schröder
This map shows the geographic impact of Stefan Schröder'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 Stefan Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schröder more than expected).
Fields of papers citing papers by Stefan Schröder
This network shows the impact of papers produced by Stefan Schröder. 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 Stefan Schröder. The network helps show where Stefan Schröder may publish in the future.
Co-authorship network of co-authors of Stefan Schröder
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schröder. A scholar is included among the top collaborators of Stefan Schröder 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 Stefan Schröder. Stefan Schröder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | IDENTIFICATION OF MINOR AND TRACE ELEMENT ENHANCEMENTS IN SUPERCAM LIBS DATA WITH SPECTRAL UNMIXING | 1 |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 114 | |
| 10 | 59 | |
| 11 | 19 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 50 | |
| 15 | 58 | |
| 16 | 34 | |
| 17 | 31 | |
| 18 | 12 |
About Stefan Schröder
Stefan Schröder is a scholar working on Toxicology, Ecological Modeling and Geology, having authored 18 papers that have together received 456 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Emergency Medicine (62 citations), Critical Care and Intensive Care Medicine (28 citations) and Pulmonary and Respiratory Medicine (148 citations). Stefan Schröder has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Martin J. Lohse, Hermann Wrigge, Tilman von Spiegel, Christian Putensen, Rudolf Hering, Jörg Zinserling, Andreas Hoeft, Petra Bauer, Karl August Brensing and Peter A. Kollman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and FEBS Letters.
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.