Cordelia Schiene‐Fischer
- Molecular Biology top 5%
- Immunology top 5%
- Oncology top 10%
- Physiology top 10%
- Materials Chemistry
- Co-authors
- Gunter FischerChao YuTobias AumüllerSebastian DaumDirk WildemannMarcus FändrichChristian LückeAlexis Rohou
- Topics
- Signaling Pathways in Disease (31 papers)Toxin Mechanisms and Immunotoxins (19 papers)Peptidase Inhibition and Analysis (13 papers)
- Cited by
- Molecular BiologyImmunologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Cordelia Schiene‐Fischer
53 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.5k
- Immunology 431
- Oncology 358
- Physiology 287
- Materials Chemistry 182
Countries citing papers authored by Cordelia Schiene‐Fischer
This map shows the geographic impact of Cordelia Schiene‐Fischer'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 Cordelia Schiene‐Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cordelia Schiene‐Fischer more than expected).
Fields of papers citing papers by Cordelia Schiene‐Fischer
This network shows the impact of papers produced by Cordelia Schiene‐Fischer. 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 Cordelia Schiene‐Fischer. The network helps show where Cordelia Schiene‐Fischer may publish in the future.
Co-authorship network of co-authors of Cordelia Schiene‐Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Cordelia Schiene‐Fischer. A scholar is included among the top collaborators of Cordelia Schiene‐Fischer 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 Cordelia Schiene‐Fischer. Cordelia Schiene‐Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 88 | |
| 2 | 37 | |
| 3 | 28 | |
| 4 | 28 | |
| 5 | 75 | |
| 6 | 24 | |
| 7 | 80 | |
| 8 | 52 | |
| 9 | 34 | |
| 10 | 51 | |
| 11 | 18 | |
| 12 | 32 | |
| 13 | 37 | |
| 14 | 27 | |
| 15 | 12 | |
| 16 | 25 | |
| 17 | 34 | |
| 18 | 13 | |
| 19 | 77 | |
| 20 | 149 |
About Cordelia Schiene‐Fischer
Cordelia Schiene‐Fischer is a scholar working on Immunology, Geriatrics and Gerontology and Molecular Biology, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (31 papers), Toxin Mechanisms and Immunotoxins (19 papers) and Peptidase Inhibition and Analysis (13 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Immunology (431 citations) and Oncology (358 citations). Cordelia Schiene‐Fischer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gunter Fischer, Chao Yu, Tobias Aumüller, Sebastian Daum, Dirk Wildemann, Marcus Fändrich, Christian Lücke, Alexis Rohou, Jay Kant Yadav and Matthias Schmidt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.