Bernhard Robl
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in ⓘ
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- Sarcoma Diagnosis and Treatment 5
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- TGF-β signaling in diseases 1
- Co-authors
- Bruno Fuchs (6 shared papers)Sander M. Botter (5 shared papers)Beata Bode‐Lesniewska (3 shared papers)Wilfred Druml (1 shared paper)Heinz Regele (1 shared paper)Markus Exner (1 shared paper)Markus Wahrmann (1 shared paper)Walter Born (4 shared papers)
- Journals
- BMC Cancer (2 papers)Hepatology (1 paper)Clinical Kidney Journal (1 paper)Translational Oncology (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- SwitzerlandAustriaGermany
In The Last Decade
Bernhard Robl
14 papers receiving 394 citations
Peers
Comparison fields: 5 of 68
- Transplantation 99
- Nephrology 57
- Developmental Neuroscience 24
- Cancer Research 62
- Immunology 85
Countries citing papers authored by Bernhard Robl
This map shows the geographic impact of Bernhard Robl'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 Bernhard Robl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Robl more than expected).
Fields of papers citing papers by Bernhard Robl
This network shows the impact of papers produced by Bernhard Robl. 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 Bernhard Robl. The network helps show where Bernhard Robl may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Robl, 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 | 2006 | 110 | |
| 2 | 2012 | 64 | |
| 3 | 2016 | 36 | |
| 4 | 2015 | 32 | |
| 5 | 2021 | 30 | |
| 6 | 2014 | 24 | |
| 7 | Expression of MSH2 and MSH6 on a tissue microarray in patients with osteosarcoma. | 2014 | 17 |
| 8 | 2014 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2023 | 2 |
About Bernhard Robl
Bernhard Robl is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 14 papers that have together received 400 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers), Pancreatic function and diabetes (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), TGF-β signaling in diseases (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Transplantation (99 citations), Nephrology (57 citations), Developmental Neuroscience (24 citations), Cancer Research (62 citations) and Immunology (85 citations). Bernhard Robl has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Bruno Fuchs, Sander M. Botter, Beata Bode‐Lesniewska, Wilfred Druml, Heinz Regele, Markus Exner, Markus Wahrmann, Walter Born, Kurt Derfler and Thomas Soliman. Their work appears in journals such as BMC Cancer, Hepatology, Clinical Kidney Journal, Translational Oncology and Journal of Cancer Research and Clinical Oncology.
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.