Stephan C. Schürer
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 2%
- Immunology top 5%
- Oncology top 10%
- Co-authors
- Siegfried BlechertD. VidovićVasileios StathiasMichael D. CameronPatrick R. GriffinNicole BuschmannNaiem T. IssaSimon Gessler
- Topics
- Computational Drug Discovery Methods (35 papers)Bioinformatics and Genomic Networks (20 papers)Biomedical Text Mining and Ontologies (17 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Stephan C. Schürer
124 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.7k
- Computational Theory and Mathematics 814
- Organic Chemistry 776
- Immunology 524
- Oncology 424
Countries citing papers authored by Stephan C. Schürer
This map shows the geographic impact of Stephan C. Schürer'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 Stephan C. Schürer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan C. Schürer more than expected).
Fields of papers citing papers by Stephan C. Schürer
This network shows the impact of papers produced by Stephan C. Schürer. 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 Stephan C. Schürer. The network helps show where Stephan C. Schürer may publish in the future.
Co-authorship network of co-authors of Stephan C. Schürer
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan C. Schürer. A scholar is included among the top collaborators of Stephan C. Schürer 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 Stephan C. Schürer. Stephan C. Schürer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 50 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 90 | |
| 12 | 67 | |
| 13 | 28 | |
| 14 | 22 | |
| 15 | The smartAPI ecosystem for making Web APIs FAIR | 2 |
| 16 | Comparison of Percutaneous Closure Versus Surgical Femoral Cutdown for Decannulation of Large-Sized Arterial and Venous Access Sites in Adults After Successful Weaning of Veno-Arterial Extracorporeal Membrane Oxygenation. | 29 |
| 17 | 25 | |
| 18 | 87 | |
| 19 | 37 | |
| 20 | 141 |
About Stephan C. Schürer
Stephan C. Schürer is a scholar working on Computational Theory and Mathematics, Molecular Biology and Information Systems and Management, having authored 130 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Bioinformatics and Genomic Networks (20 papers) and Biomedical Text Mining and Ontologies (17 papers). The work is most often cited by research in Computational Theory and Mathematics (814 citations), Molecular Biology (2.7k citations) and Organic Chemistry (776 citations). Stephan C. Schürer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Siegfried Blechert, D. Vidović, Vasileios Stathias, Michael D. Cameron, Patrick R. Griffin, Nicole Buschmann, Naiem T. Issa, Simon Gessler, Theodore M. Kamenecka and Sivanesan Dakshanamurthy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.