Dominik Steubl
- Nephrology top 1%
- Pulmonary and Respiratory Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Uwe HeemannBrice Le FrançoisMargaret CzesakPaul R. AlbertLutz RendersJoão Pedro FerreiraSusanne AngermannJürgen E. Scherberich
- Topics
- Dialysis and Renal Disease Management (26 papers)Chronic Kidney Disease and Diabetes (17 papers)Diabetes Treatment and Management (16 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Dominik Steubl
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Nephrology 463
- Pulmonary and Respiratory Medicine 309
- Endocrinology, Diabetes and Metabolism 278
- Molecular Biology 231
- Cardiology and Cardiovascular Medicine 219
Countries citing papers authored by Dominik Steubl
This map shows the geographic impact of Dominik Steubl'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 Dominik Steubl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Steubl more than expected).
Fields of papers citing papers by Dominik Steubl
This network shows the impact of papers produced by Dominik Steubl. 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 Dominik Steubl. The network helps show where Dominik Steubl may publish in the future.
Co-authorship network of co-authors of Dominik Steubl
This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Steubl. A scholar is included among the top collaborators of Dominik Steubl 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 Dominik Steubl. Dominik Steubl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | Clinical validation of T-track (R) CMV to assess the functionality of cmv-specific cell-mediated immunity in kidney transplant recipients | 1 |
| 16 | 13 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 16 | |
| 20 | 36 |
About Dominik Steubl
Dominik Steubl is a scholar working on Nephrology, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (26 papers), Chronic Kidney Disease and Diabetes (17 papers) and Diabetes Treatment and Management (16 papers). The work is most often cited by research in Nephrology (463 citations), Transplantation (52 citations) and Endocrinology, Diabetes and Metabolism (278 citations). Dominik Steubl has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Uwe Heemann, Brice Le François, Margaret Czesak, Paul R. Albert, Lutz Renders, João Pedro Ferreira, Susanne Angermann, Jürgen E. Scherberich, Christoph Schmaderer and Javed Butler. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes Care.
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.