Hannes U. Eberhardt
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Immunology top 10%
- Complement system in diseases
Papers in
-
- Renal Diseases and Glomerulopathies 4
-
- Complement system in diseases 6
- Phagocytosis and Immune Regulation 2
- Co-authors
- Peter W. Kalivas (1 shared paper)Philip E. Duffy (1 shared paper)Peter F. Zipfel (8 shared papers)Christine Skerka (7 shared papers)Andrea Hartmann (5 shared papers)Barbara Uzonyi (2 shared papers)Qian Chen (3 shared papers)Teresia Hallström (3 shared papers)
- Journals
- PLoS ONE (2 papers)Immunobiology (2 papers)Journal of Clinical Investigation (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Molecular Immunology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hannes U. Eberhardt
8 papers receiving 568 citations
Peers
Comparison fields: 5 of 59
- Nephrology 137
- Immunology 264
- Cellular and Molecular Neuroscience 229
- Hematology 110
- Parasitology 43
Countries citing papers authored by Hannes U. Eberhardt
This map shows the geographic impact of Hannes U. Eberhardt'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 Hannes U. Eberhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannes U. Eberhardt more than expected).
Fields of papers citing papers by Hannes U. Eberhardt
This network shows the impact of papers produced by Hannes U. Eberhardt. 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 Hannes U. Eberhardt. The network helps show where Hannes U. Eberhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannes U. Eberhardt, 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 | 1990 | 247 | |
| 2 | 2013 | 97 | |
| 3 | 2012 | 76 | |
| 4 | 2013 | 64 | |
| 5 | 2010 | 63 | |
| 6 | 2016 | 26 | |
| 7 | 2012 | 5 | |
| 8 | 2012 | 2 | |
| 9 | 2009 | 0 |
About Hannes U. Eberhardt
Hannes U. Eberhardt is a scholar working on Nephrology, Immunology, Hematology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 580 indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Renal Diseases and Glomerulopathies (4 papers), Phagocytosis and Immune Regulation (2 papers), Platelet Disorders and Treatments (2 papers), Blood Coagulation and Thrombosis Mechanisms (1 paper), Renal and related cancers (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Nephrology (137 citations), Immunology (264 citations), Cellular and Molecular Neuroscience (229 citations), Hematology (110 citations) and Parasitology (43 citations). Hannes U. Eberhardt has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter W. Kalivas, Philip E. Duffy, Peter F. Zipfel, Christine Skerka, Andrea Hartmann, Barbara Uzonyi, Qian Chen, Teresia Hallström, Reinhard Wallich and Michael Sean Wiesener. Their work appears in journals such as PLoS ONE, Immunobiology, Journal of Clinical Investigation, Journal of Pharmacology and Experimental Therapeutics and Molecular Immunology.
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.