Daniel Eberhard
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Surgery top 5%
- Pancreatic function and diabetes
Papers in
- Surgery 20
- Pancreatic function and diabetes 20
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- Liver physiology and pathology 4
- Co-authors
- Eckhard Lammert (15 shared papers)David Tosh (7 shared papers)Harald Jockusch (6 shared papers)Martin Kragl (2 shared papers)Jonathan M.W. Slack (4 shared papers)Udo Rudloff (2 shared papers)Deepak Jain (2 shared papers)Saeed Katiraei (1 shared paper)
- Journals
- PLoS ONE (4 papers)Nature Communications (3 papers)BioEssays (2 papers)Cell Reports (2 papers)Cellular and Molecular Life Sciences (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Eberhard
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Hepatology 92
- Surgery 415
- Molecular Biology 284
- Aging 7
- Physiology 16
Countries citing papers authored by Daniel Eberhard
This map shows the geographic impact of Daniel Eberhard'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 Daniel Eberhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eberhard more than expected).
Fields of papers citing papers by Daniel Eberhard
This network shows the impact of papers produced by Daniel Eberhard. 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 Daniel Eberhard. The network helps show where Daniel Eberhard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eberhard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2015 | 136 | |
| 3 | 2010 | 97 | |
| 4 | 2012 | 93 | |
| 5 | 2018 | 80 | |
| 6 | 2003 | 58 | |
| 7 | 1994 | 55 | |
| 8 | 2009 | 51 | |
| 9 | 2006 | 40 | |
| 10 | 2007 | 38 | |
| 11 | 2013 | 33 | |
| 12 | 2008 | 29 | |
| 13 | 2017 | 27 | |
| 14 | 2010 | 26 | |
| 15 | 2013 | 24 | |
| 16 | 2013 | 23 | |
| 17 | 2015 | 20 | |
| 18 | 2016 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2014 | 17 |
About Daniel Eberhard
Daniel Eberhard is a scholar working on Surgery, Hepatology, Molecular Biology, Epidemiology and Biophysics, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (20 papers), Liver physiology and pathology (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Pluripotent Stem Cells Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), RNA and protein synthesis mechanisms (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Hepatology (92 citations), Surgery (415 citations), Molecular Biology (284 citations), Aging (7 citations) and Physiology (16 citations). Daniel Eberhard has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Eckhard Lammert, David Tosh, Harald Jockusch, Martin Kragl, Jonathan M.W. Slack, Udo Rudloff, Deepak Jain, Saeed Katiraei, Jan Eglinger and Sander Kersten. Their work appears in journals such as PLoS ONE, Nature Communications, BioEssays, Cell Reports and Cellular and Molecular Life Sciences.
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.