Daniel Eberhard
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
- Surgery 23
- Pancreatic function and diabetes 21
-
- Pluripotent Stem Cells Research 3
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 3
- Co-authors
- Eckhard Lammert (14 shared papers)David Tosh (7 shared papers)Harald Jockusch (6 shared papers)Martin Kragl (2 shared papers)Làszlò Tora (2 shared papers)I. Grummt (2 shared papers)Jonathan Slack (4 shared papers)Udo Rudloff (2 shared papers)
- Journals
- PLoS ONE (4 papers)Nature Communications (3 papers)Cellular and Molecular Life Sciences (2 papers)BioEssays (2 papers)The EMBO Journal (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel Eberhard
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Hepatology 92
- Surgery 395
- Endocrinology, Diabetes and Metabolism 146
- Molecular Biology 524
- Genetics 195
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 1994 | 101 | |
| 3 | 2010 | 95 | |
| 4 | 2012 | 88 | |
| 5 | 2018 | 76 | |
| 6 | 2003 | 58 | |
| 7 | 1994 | 58 | |
| 8 | 2009 | 52 | |
| 9 | 2007 | 38 | |
| 10 | 2006 | 36 | |
| 11 | 2013 | 31 | |
| 12 | 2010 | 27 | |
| 13 | 2008 | 27 | |
| 14 | 2017 | 26 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2015 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2016 | 19 | |
| 20 | 2014 | 17 |
About Daniel Eberhard
Daniel Eberhard is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Liver physiology and pathology (4 papers), Pluripotent Stem Cells Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hepatology (92 citations), Surgery (395 citations), Endocrinology, Diabetes and Metabolism (146 citations), Molecular Biology (524 citations) and Genetics (195 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, Làszlò Tora, I. Grummt, Jonathan Slack, Udo Rudloff, Saeed Katiraei and Sander Kersten. Their work appears in journals such as PLoS ONE, Nature Communications, Cellular and Molecular Life Sciences, BioEssays and The EMBO Journal.
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.