Detlef Schlöndorff
- Immunology top 0.2%
- Molecular Biology top 1%
- Nephrology top 0.05%
- Oncology top 1%
- Surgery top 2%
- Co-authors
- Hans‐Joachim AndersMatthias KretzlerJoseph SatrianoMatthias MackClemens D. CohenPeter J. NelsonVolker VielhauerStephan Segerer
- Topics
- Chemokine receptors and signaling (41 papers)Renal Diseases and Glomerulopathies (38 papers)Chronic Kidney Disease and Diabetes (28 papers)
- Cited by
- NephrologyImmunologyTransplantation
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Detlef Schlöndorff
235 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Immunology 5.3k
- Molecular Biology 4.6k
- Nephrology 3.7k
- Oncology 2.5k
- Surgery 1.5k
Countries citing papers authored by Detlef Schlöndorff
This map shows the geographic impact of Detlef Schlöndorff'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 Detlef Schlöndorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Detlef Schlöndorff more than expected).
Fields of papers citing papers by Detlef Schlöndorff
This network shows the impact of papers produced by Detlef Schlöndorff. 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 Detlef Schlöndorff. The network helps show where Detlef Schlöndorff may publish in the future.
Co-authorship network of co-authors of Detlef Schlöndorff
This figure shows the co-authorship network connecting the top 25 collaborators of Detlef Schlöndorff. A scholar is included among the top collaborators of Detlef Schlöndorff 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 Detlef Schlöndorff. Detlef Schlöndorff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 151 | |
| 2 | 55 | |
| 3 | 31 | |
| 4 | 98 | |
| 5 | 8 | |
| 6 | 96 | |
| 7 | 147 | |
| 8 | 68 | |
| 9 | 37 | |
| 10 | 101 | |
| 11 | 174 | |
| 12 | 6 | |
| 13 | 174 | |
| 14 | 86 | |
| 15 | 39 | |
| 16 | 362 | |
| 17 | Chemokine receptor 1 to 5 expression in mouse anti-GBM-nephritis | 1 |
| 18 | Molecular nephrology : kidney function in health and disease | 46 |
| 19 | 14 | |
| 20 | Prostaglandin synthesis in isolated rat glomeruli | 3 |
About Detlef Schlöndorff
Detlef Schlöndorff is a scholar working on Nephrology, Immunology and Immunology and Allergy, having authored 237 papers that have together received 14.9k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (41 papers), Renal Diseases and Glomerulopathies (38 papers) and Chronic Kidney Disease and Diabetes (28 papers). The work is most often cited by research in Nephrology (3.7k citations), Immunology (5.3k citations) and Transplantation (385 citations). Detlef Schlöndorff has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hans‐Joachim Anders, Matthias Kretzler, Joseph Satriano, Matthias Mack, Clemens D. Cohen, Peter J. Nelson, Volker Vielhauer, Stephan Segerer, Bernhard Banas and Bruno Luckow. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.