Rafael Kramann
- Molecular Biology top 2%
- Nephrology top 0.2%
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Benjamin D. HumphreysRebekka K. SchneiderDerek P. DiRoccoFlávia G. MachadoTetsuro KusabaBenjamin L. EbertJürgen FloegeSusanne Fleig
- Topics
- Renal and related cancers (30 papers)Single-cell and spatial transcriptomics (21 papers)Parathyroid Disorders and Treatments (19 papers)
- Cited by
- NephrologyGeneticsHematology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Rafael Kramann
141 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.7k
- Nephrology 1.7k
- Surgery 1.3k
- Pulmonary and Respiratory Medicine 1.1k
- Cardiology and Cardiovascular Medicine 1.1k
Countries citing papers authored by Rafael Kramann
This map shows the geographic impact of Rafael Kramann'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 Rafael Kramann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Kramann more than expected).
Fields of papers citing papers by Rafael Kramann
This network shows the impact of papers produced by Rafael Kramann. 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 Rafael Kramann. The network helps show where Rafael Kramann may publish in the future.
Co-authorship network of co-authors of Rafael Kramann
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Kramann. A scholar is included among the top collaborators of Rafael Kramann 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 Rafael Kramann. Rafael Kramann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 28 | |
| 13 | 53 | |
| 14 | 78 | |
| 15 | 12 | |
| 16 | 28 | |
| 17 | 22 | |
| 18 | 57 | |
| 19 | 173 | |
| 20 | Differentiated kidney epithelial cells repair injured proximal tubulebreakdown → | 350 |
About Rafael Kramann
Rafael Kramann is a scholar working on Nephrology, Transplantation and Genetics, having authored 152 papers that have together received 7.3k indexed citations. Recurring topics across this work include Renal and related cancers (30 papers), Single-cell and spatial transcriptomics (21 papers) and Parathyroid Disorders and Treatments (19 papers). The work is most often cited by research in Nephrology (1.7k citations), Genetics (1.1k citations) and Hematology (588 citations). Rafael Kramann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Benjamin D. Humphreys, Rebekka K. Schneider, Derek P. DiRocco, Flávia G. Machado, Tetsuro Kusaba, Benjamin L. Ebert, Jürgen Floege, Susanne Fleig, Joel Henderson and Philip A. Bondzie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.