Rafael Kramann
- Nephrology top 0.2%
- Parathyroid Disorders and Treatments 19
- Chronic Kidney Disease and Diabetes 16
- Dialysis and Renal Disease Management 12
- Renal Diseases and Glomerulopathies 12
- Genetics top 0.5%
- Mesenchymal stem cell research 14
- Hematology top 2%
-
- Cardiovascular Function and Risk Factors 13
- Molecular Biology top 2%
- Renal and related cancers 30
- Single-cell and spatial transcriptomics 21
- Co-authors
- Benjamin D. HumphreysRebekka K. SchneiderDerek P. DiRoccoFlávia G. MachadoTetsuro KusabaBenjamin L. EbertJürgen FloegeSusanne Fleig
- Cited by
- NephrologyGeneticsHematology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (3 papers)Nature Medicine (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Rafael Kramann
141 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Nephrology 1.7k
- Genetics 1.1k
- Hematology 588
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 2.7k
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
The 25 scholars most cited alongside Rafael Kramann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 53 | |
| 14 | 2022 | 78 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 28 | |
| 17 | 2020 | 22 | |
| 18 | 2020 | 57 | |
| 19 | 2019 | 173 | |
| 20 | Differentiated kidney epithelial cells repair injured proximal tubulebreakdown → | 2013 | 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), Parathyroid Disorders and Treatments (19 papers), Chronic Kidney Disease and Diabetes (16 papers), Mesenchymal stem cell research (14 papers), Cardiovascular Function and Risk Factors (13 papers), Dialysis and Renal Disease Management (12 papers) and Renal Diseases and Glomerulopathies (12 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.